Electronic device for identifying symptoms related to parkinson's disease, operation method thereof, and wearable electronic device

Abstract

An electronic device according to an embodiment comprises a communication circuit and a processor. A memory may store instructions that, when executed by the processor, cause the electronic device to: identify whether the state of a user is a stable state by using a first wearable electronic device worn on a first body part of the user; on the basis of confirming that the state of the user is the stable state, use the communication circuit to acquire first sensing data indicating movements of the first body part from the first wearable electronic device and acquire second sensing data indicating movements of a second body part of the user from a second wearable electronic device worn on the second body part; and identify symptoms related to the Parkinson's disease of the user on the basis of at least one of the first sensing data or the second sensing data. Various other embodiments are possible.

Description

Electronic device for identifying symptoms associated with Parkinson's disease, method of operation thereof, and wearable electronic device

[0001] Embodiments of the present disclosure relate to an electronic device for identifying symptoms associated with Parkinson's disease, a method of operating the same, and a wearable electronic device.

[0002] Recently, the use of portable electronic devices such as smartphones, tablet PCs, and wearable devices has increased. As the use of electronic devices has rapidly increased, they are also being developed into wearable forms to enhance portability and accessibility. One example of such electronic devices is wearable electronic devices.

[0003] Wearable electronic devices can be implemented as a smart watch that can be worn on the user's wrist, a smart ring that can be worn on the user's finger, a head-mounted device that can be worn on the user's head, etc.

[0004] According to one embodiment, an electronic device may include memory, communication circuitry, and a processor.

[0005] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to determine whether the user's state is stable using a first wearable electronic device worn on a first body part of the user.

[0006] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to obtain, using the communication circuit, first sensing data representing movement of the first body part from the first wearable electronic device based on determining that the state of the user is the stable state.

[0007] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to, based on determining that the state of the user is the stable state, obtain second sensing data representing movement of the second body part from a second wearable electronic device worn on the second body part of the user using the communication circuit.

[0008] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to identify a symptom associated with Parkinson's disease of the user based on at least one of the first sensing data or the second sensing data.

[0009] According to one embodiment, a method of operating an electronic device may include an operation of checking whether a state of a user is stable by using a first wearable electronic device worn on a first body part of the user.

[0010] According to one embodiment, a method of operating an electronic device may include an operation of obtaining first sensing data representing movement of a first body part from the first wearable electronic device based on determining that the state of the user is the stable state.

[0011] According to one embodiment, a method of operating an electronic device may include an operation of obtaining second sensing data representing movement of a second body part of the user from a second wearable electronic device worn on a second body part of the user based on determining that the state of the user is the stable state.

[0012] According to one embodiment, a method of operating an electronic device may include an operation of identifying a symptom related to Parkinson's disease of the user based on at least one of the first sensing data or the second sensing data.

[0013] According to one embodiment, a first wearable electronic device may include a memory, a first sensor, a second sensor, a communication circuit, and a processor.

[0014] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the first wearable electronic device to determine whether a state of a user wearing the first wearable electronic device is stable based on data sensed by at least one of the first sensor or the second sensor.

[0015] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the first wearable electronic device to obtain, through the first sensor, first sensing data representing movement of a first body part of the user worn by the first wearable electronic device based on determining that the state of the user is the stable state.

[0016] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the first wearable electronic device to obtain, through the communication circuit, second sensing data representing movement of a second body part of the user from a second wearable electronic device worn on the second body part.

[0017] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the first wearable electronic device to identify a symptom associated with Parkinson's disease of the user based on at least one of the first sensing data or the second sensing data.

[0018] FIG. 1 is a block diagram of an electronic device within a network environment according to various embodiments.

[0019] FIG. 2 is a diagram illustrating a system for identifying symptoms related to Parkinson's disease according to one embodiment.

[0020] FIG. 3 is a flowchart illustrating an operation of an electronic device according to one embodiment to identify symptoms associated with Parkinson's disease.

[0021] FIG. 4 is a flowchart illustrating an operation of an electronic device according to one embodiment to determine whether a user's state is stable.

[0022] FIG. 5A is a flowchart illustrating an operation of an electronic device according to one embodiment to identify symptoms related to Parkinson's disease in a body part based on sensing data.

[0023] FIG. 5b is a flowchart illustrating an operation of an electronic device according to one embodiment to identify symptoms related to Parkinson's disease in a body part based on sensing data.

[0024] FIG. 6 is a flowchart illustrating an operation of an electronic device according to one embodiment to identify symptoms related to Parkinson's disease based on gait data.

[0025] FIG. 7 is a diagram illustrating an operation of a first wearable electronic device according to one embodiment to acquire first sensing data indicating movement of a first body part.

[0026] FIG. 8 is a graph illustrating an operation of an electronic device according to one embodiment to identify symptoms related to Parkinson's disease based on first sensing data.

[0027] FIG. 9 is a diagram illustrating an operation of an electronic device according to one embodiment to identify symptoms related to Parkinson's disease in a first body part on which a first wearable electronic device is worn and a second body part on which a second wearable electronic device is worn.

[0028] FIG. 10 is a diagram illustrating an operation of an electronic device according to one embodiment to identify symptoms related to Parkinson's disease in a first body part on which a first wearable electronic device is worn and a second body part on which a second wearable electronic device is worn.

[0029] FIG. 11 is a diagram illustrating an operation of an electronic device according to one embodiment to identify symptoms related to Parkinson's disease in a first body part on which a second wearable electronic device is worn and a second body part on which a third wearable electronic device is worn.

[0030] FIG. 12 is a diagram illustrating an operation of an electronic device according to one embodiment to identify symptoms related to Parkinson's disease in a first body part on which a second wearable electronic device is worn and a second body part on which a third wearable electronic device is worn.

[0031] FIG. 13 is a drawing for explaining an operation of a first wearable electronic device according to one embodiment to check a user's stable state.

[0032] FIG. 14 is a diagram showing an electronic device according to one embodiment of the present invention displaying information for guiding a wearing position of a first wearable electronic device and a wearing position of a second wearable electronic device.

[0033] FIG. 15 is a flowchart illustrating an operation of a first wearable electronic device according to one embodiment to identify symptoms related to Parkinson's disease.

[0034] FIG. 1 is a block diagram of an electronic device (101) within a network environment (100) according to various embodiments. Referring to FIG. 1, in the network environment (100), the electronic device (101) may communicate with the electronic device (102) via a first network (198) (e.g., a short-range wireless communication network), or may communicate with at least one of the electronic device (104) or the server (108) via a second network (199) (e.g., a long-range wireless communication network). In one embodiment, the electronic device (101) may communicate with the electronic device (104) via the server (108). According to one embodiment, the electronic device (101) may include a processor (120), a memory (130), an input module (150), an audio output module (155), a display module (160), an audio module (170), a sensor module (176), an interface (177), a connection terminal (178), a haptic module (179), a camera module (180), a power management module (188), a battery (189), a communication module (190), a subscriber identification module (196), or an antenna module (197). In some embodiments, the electronic device (101) may omit at least one of these components (e.g., the connection terminal (178)), or may have one or more other components added. In some embodiments, some of these components (e.g., the sensor module (176), the camera module (180), or the antenna module (197)) may be integrated into one component (e.g., the display module (160)).

[0035] The processor (120) may, for example, execute software (e.g., a program (140)) to control at least one other component (e.g., a hardware or software component) of the electronic device (101) connected to the processor (120) and perform various data processing or operations. According to one embodiment, as at least a part of the data processing or operations, the processor (120) may store commands or data received from other components (e.g., a sensor module (176) or a communication module (190)) in a volatile memory (132), process the commands or data stored in the volatile memory (132), and store result data in a non-volatile memory (134). According to one embodiment, the processor (120) may include a main processor (121) (e.g., a central processing unit or an application processor) or an auxiliary processor (123) (e.g., a graphics processing unit, a neural processing unit (NPU), an image signal processor, a sensor hub processor, or a communication processor) that can operate independently or together with the main processor (121). For example, when the electronic device (101) includes the main processor (121) and the auxiliary processor (123), the auxiliary processor (123) may be configured to use less power than the main processor (121) or to be specialized for a given function. The auxiliary processor (123) may be implemented separately from the main processor (121) or as a part thereof.

[0036] The auxiliary processor (123) may control at least a portion of functions or states associated with at least one component (e.g., a display module (160), a sensor module (176), or a communication module (190)) of the electronic device (101), for example, on behalf of the main processor (121) while the main processor (121) is in an inactive (e.g., sleep) state, or together with the main processor (121) while the main processor (121) is in an active (e.g., application execution) state. In one embodiment, the auxiliary processor (123) (e.g., an image signal processor or a communication processor) may be implemented as a part of another functionally related component (e.g., a camera module (180) or a communication module (190)). In one embodiment, the auxiliary processor (123) (e.g., a neural network processing unit) may include a hardware structure specialized for processing artificial intelligence models. The artificial intelligence models may be generated through machine learning. This learning can be performed, for example, in the electronic device (101) itself where artificial intelligence is performed, or can be performed through a separate server (e.g., server (108)). The learning algorithm can include, for example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but is not limited to the examples described above. The artificial intelligence model can include multiple artificial neural network layers.The artificial neural network may be one of a deep neural network (DNN), a convolutional neural network (CNN), a recurrent neural network (RNN), a restricted Boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), a deep Q-network, or a combination of two or more of the above, but is not limited to the examples described above. In addition to, or alternatively to, a hardware structure, an artificial intelligence model may include a software structure.

[0037] The memory (130) can store various data used by at least one component (e.g., processor (120) or sensor module (176)) of the electronic device (101). The data can include, for example, software (e.g., program (140)) and input data or output data for commands related thereto. The memory (130) can include volatile memory (132) or non-volatile memory (134).

[0038] The program (140) may be stored as software in the memory (130) and may include, for example, an operating system (142), middleware (144), or an application (146).

[0039] The input module (150) can receive commands or data to be used in a component of the electronic device (101) (e.g., a processor (120)) from an external source (e.g., a user) of the electronic device (101). The input module (150) can include, for example, a microphone, a mouse, a keyboard, a key (e.g., a button), or a digital pen (e.g., a stylus pen).

[0040] The audio output module (155) can output audio signals to the outside of the electronic device (101). The audio output module (155) can include, for example, a speaker or a receiver. The speaker can be used for general purposes, such as multimedia playback or recording playback. The receiver can be used to receive incoming calls. In one embodiment, the receiver can be implemented separately from the speaker or as part of the speaker.

[0041] The display module (160) can visually provide information to an external party (e.g., a user) of the electronic device (101). The display module (160) may include, for example, a display, a holographic device, or a projector and a control circuit for controlling the device. According to one embodiment, the display module (160) may include a touch sensor configured to detect a touch, or a pressure sensor configured to measure the intensity of a force generated by the touch.

[0042] The audio module (170) can convert sound into an electrical signal, or vice versa, convert an electrical signal into sound. According to one embodiment, the audio module (170) can acquire sound through the input module (150), output sound through the sound output module (155), or an external electronic device (e.g., electronic device (102)) (e.g., speaker or headphone) directly or wirelessly connected to the electronic device (101).

[0043] The sensor module (176) can detect the operating status (e.g., power or temperature) of the electronic device (101) or the external environmental status (e.g., user status) and generate an electrical signal or data value corresponding to the detected status. According to one embodiment, the sensor module (176) can include, for example, a gesture sensor, a gyro sensor, a barometric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an IR (infrared) sensor, a biometric sensor, a temperature sensor, a humidity sensor, or an illuminance sensor.

[0044] The interface (177) may support one or more designated protocols that may be used to directly or wirelessly connect the electronic device (101) with an external electronic device (e.g., the electronic device (102)). In one embodiment, the interface (177) may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.

[0045] The connection terminal (178) may include a connector through which the electronic device (101) may be physically connected to an external electronic device (e.g., electronic device (102)). According to one embodiment, the connection terminal (178) may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (e.g., a headphone connector).

[0046] The haptic module (179) can convert electrical signals into mechanical stimuli (e.g., vibration or movement) or electrical stimuli that a user can perceive through tactile or kinesthetic sensations. According to one embodiment, the haptic module (179) can include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

[0047] The camera module (180) can capture still images and videos. According to one embodiment, the camera module (180) may include one or more lenses, image sensors, image signal processors, or flashes.

[0048] The power management module (188) can manage power supplied to the electronic device (101). According to one embodiment, the power management module (188) can be implemented as, for example, at least a part of a power management integrated circuit (PMIC).

[0049] A battery (189) may power at least one component of the electronic device (101). In one embodiment, the battery (189) may include, for example, a non-rechargeable primary battery, a rechargeable secondary battery, or a fuel cell.

[0050] The communication module (190) may support the establishment of a direct (e.g., wired) communication channel or a wireless communication channel between the electronic device (101) and an external electronic device (e.g., electronic device (102), electronic device (104), or server (108)), and the performance of communication through the established communication channel. The communication module (190) may operate independently from the processor (120) (e.g., application processor) and may include one or more communication processors that support direct (e.g., wired) communication or wireless communication. According to one embodiment, the communication module (190) may include a wireless communication module (192) (e.g., a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module (194) (e.g., a local area network (LAN) communication module, or a power line communication module). Among these communication modules, the corresponding communication module can communicate with an external electronic device (104) via a first network (198) (e.g., a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network (199) (e.g., a long-range communication network such as a legacy cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (e.g., a LAN or WAN)). These various types of communication modules can be integrated into a single component (e.g., a single chip) or implemented as multiple separate components (e.g., multiple chips). The wireless communication module (192) can verify or authenticate the electronic device (101) within a communication network such as the first network (198) or the second network (199) by using subscriber information (e.g., an international mobile subscriber identity (IMSI)) stored in the subscriber identification module (196).

[0051] The wireless communication module (192) can support 5G networks and next-generation communication technologies following the 4G network, such as NR access technology (new radio access technology). The NR access technology can support high-speed transmission of high-capacity data (eMBB (enhanced mobile broadband)), minimization of terminal power and connection of multiple terminals (mMTC (massive machine type communications)), or high reliability and low latency (URLLC (ultra-reliable and low-latency communications)). The wireless communication module (192) can support, for example, a high-frequency band (e.g., mmWave band) to achieve a high data transmission rate. The wireless communication module (192) can support various technologies for securing performance in a high-frequency band, such as beamforming, massive multiple-input and multiple-output (MIMO), full dimensional MIMO (FD-MIMO), array antenna, analog beam-forming, or large scale antenna. The wireless communication module (192) can support various requirements specified in the electronic device (101), an external electronic device (e.g., the electronic device (104)), or a network system (e.g., the second network (199)). According to one embodiment, the wireless communication module (192) can support a peak data rate (e.g., 20 Gbps or more) for eMBB realization, a loss coverage (e.g., 164 dB or less) for mMTC realization, or a U-plane latency (e.g., 0.5 ms or less for downlink (DL) and uplink (UL), or 1 ms or less for round trip) for URLLC realization.

[0052] The antenna module (197) can transmit or receive signals or power to or from an external device (e.g., an external electronic device). In one embodiment, the antenna module (197) may include an antenna including a radiator formed of a conductor or a conductive pattern formed on a substrate (e.g., a PCB). In one embodiment, the antenna module (197) may include a plurality of antennas (e.g., an array antenna). In this case, at least one antenna suitable for a communication method used in a communication network, such as the first network (198) or the second network (199), may be selected from the plurality of antennas by, for example, the communication module (190). A signal or power may be transmitted or received between the communication module (190) and an external electronic device via the at least one selected antenna. In some embodiments, in addition to the radiator, another component (e.g., a radio frequency integrated circuit (RFIC)) may be additionally formed as a part of the antenna module (197).

[0053] In one embodiment, the antenna module (197) may generate a mmWave antenna module. In one embodiment, the mmWave antenna module may include a printed circuit board, an RFIC disposed on or adjacent a first side (e.g., a bottom side) of the printed circuit board and capable of supporting a designated high frequency band (e.g., a mmWave band), and a plurality of antennas (e.g., an array antenna) disposed on or adjacent a second side (e.g., a top side or a side side) of the printed circuit board and capable of transmitting or receiving signals in the designated high frequency band.

[0054] At least some of the above components can be interconnected and exchange signals (e.g., commands or data) with each other via a communication method between peripheral devices (e.g., a bus, GPIO (general purpose input and output), SPI (serial peripheral interface), or MIPI (mobile industry processor interface)).

[0055] According to one embodiment, commands or data may be transmitted or received between the electronic device (101) and an external electronic device (104) via a server (108) connected to a second network (199). Each of the external electronic devices (102 or 104) may be the same or a different type of device as the electronic device (101). According to one embodiment, all or part of the operations executed in the electronic device (101) may be executed in one or more of the external electronic devices (102, 104, or 108). For example, when the electronic device (101) is to perform a certain function or service automatically or in response to a request from a user or another device, the electronic device (101) may, instead of or in addition to executing the function or service itself, request one or more external electronic devices to perform the function or at least a part of the service. One or more external electronic devices that receive the request may execute at least a portion of the requested function or service, or an additional function or service related to the request, and transmit the result of the execution to the electronic device (101). The electronic device (101) may process the result as is or additionally and provide it as at least a portion of a response to the request. For this purpose, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used, for example. The electronic device (101) may provide an ultra-low latency service by using distributed computing or mobile edge computing, for example. In another embodiment, the external electronic device (104) may include an Internet of Things (IoT) device. The server (108) may be an intelligent server utilizing machine learning and / or a neural network. According to one embodiment, the external electronic device (104) or the server (108) may be included in the second network (199).The electronic device (101) can be applied to intelligent services (e.g., smart home, smart city, smart car, or healthcare) based on 5G communication technology and IoT-related technology.

[0056] FIG. 2 is a diagram illustrating a system for identifying symptoms related to Parkinson's disease according to one embodiment.

[0057] Referring to FIG. 2, a system (200) for identifying symptoms related to Parkinson's disease may include an electronic device (201) and a plurality of wearable electronic devices (e.g., a first wearable electronic device (301), a second wearable electronic device (402), and a third wearable electronic device (403)). However, the types and numbers of wearable electronic devices (401, 402, 403) included in the system (200) of FIG. 2 may not be limited thereto. For example, the system (200) may include an electronic device (201) and at least two wearable electronic devices. Alternatively, depending on the implementation, the system (200) may be implemented with at least two wearable electronic devices.

[0058] According to one embodiment, each of the electronic device (201), the first wearable electronic device (301), the second wearable electronic device (402), and the third wearable electronic device (403) may be implemented identically or similarly to the electronic device (101) of FIG. 1.

[0059] According to one embodiment, the electronic device (201) may be implemented as a smart phone or a tablet PC. According to one embodiment, the first wearable electronic device (301) may be implemented as a wearable electronic device that can be worn on the user's wrist. According to one embodiment, the second wearable electronic device (402) and the third wearable electronic device (403) may be implemented as wearable electronic devices that can be worn on the user's finger. However, this is merely an example, and the electronic device (201), the first wearable electronic device (301), the second wearable electronic device (402), and the third wearable electronic device (403) may be implemented as various types of electronic devices.

[0060] According to one embodiment, the electronic device (201) may include a memory (210), a processor (220), and a communication circuit (290). According to one embodiment, the first wearable electronic device (301) may include a memory (310), a first sensor (311), a second sensor (312), a processor (320), and a communication circuit (390). According to one embodiment, the second wearable electronic device (402) may include a first sensor (411), a second sensor (412), a processor (420), and a communication circuit (490). According to one embodiment, the third wearable electronic device (403) may include a first sensor (431), a second sensor (432), a processor (421), and a communication circuit (491).

[0061] According to one embodiment, the first sensor (311, 411, 431) may include a sensor for sensing the movement of a user wearing the wearable electronic device. For example, the first sensor (311, 411, 431) may include an acceleration sensor or a gyro sensor. According to one embodiment, the second sensor (312, 412, 432) may include a sensor for sensing biometric information of a user wearing the wearable electronic device. For example, the second sensor (312, 412, 432) may include a photoplethysmography (PPG) sensor. According to one embodiment, the second sensor (312, 412, 432) may include a sensor for sensing various biometric information other than a PPG sensor. For example, the second sensor (312, 412, 432) may obtain the user's PPG signal, GSR (galvanic skin reflex), BIA (bioelectrical impedance analysis) signal, and / or ECG (electrocardiogram) signal. According to one embodiment, the processor (420) may obtain or confirm bio-information including heart rate, electrocardiogram, and / or body fat based on the bio-signals obtained from the second sensor (312, 412, 432).

[0062] According to one embodiment, the processor (220) can control the overall operation of the electronic device (201). According to one embodiment, the processor (320) can control the overall operation of the first wearable electronic device (301). According to one embodiment, the processor (420) can control the overall operation of the second wearable electronic device (402). According to one embodiment, the processor (421) can control the overall operation of the third wearable electronic device (403). For example, the processors (220, 320, 420, 421) can be implemented in the same or similar manner as the processor (120) of FIG. 1.

[0063] According to one embodiment, the processor (220) can identify symptoms related to Parkinson's disease of the user based on sensing data acquired from at least two of the first wearable electronic device (301), the second wearable electronic device (402), and the third wearable electronic device (403). The processor (220) can acquire sensing data from at least two of the first wearable electronic device (301), the second wearable electronic device (402), and the third wearable electronic device (403). The processor (220) can analyze the acquired sensing data to identify symptoms related to Parkinson's disease of the user. In addition, the processor (220) can provide or display information about the identified symptoms related to Parkinson's disease of the user through the display (260).

[0064] According to one embodiment, the processor (220) may output guide information that guides the wearing positions of the first wearable electronic device (301) and the second wearable electronic device (402). For example, the processor (220) may output guide information that causes the first wearable electronic device (301) to be worn on a first body part and the second wearable electronic device (402) to be worn on a second body part. For example, the first body part and the second body part may be body parts for checking symptoms related to Parkinson's disease of the user. For example, the first body part may include a wrist part of a first hand (e.g., one hand of the user) or a wrist part of a second hand (e.g., the other hand of the user). For example, the second body part may include any one of the fingers of the first hand or any one of the fingers of the second hand.

[0065] According to one embodiment, the processor (220) may obtain information from the first wearable electronic device (301) indicating that the first wearable electronic device (301) is worn by the user. According to one embodiment, the processor (220) may obtain information from the second wearable electronic device (402) indicating that the second wearable electronic device (402) is worn by the user.

[0066] For example, if information indicating that the first wearable electronic device (301) is worn is obtained after guide information for wearing the first wearable electronic device (301) on the wrist area of ​​the first hand is output, the processor (220) can confirm that the first wearable electronic device (301) is worn on the wrist area of ​​the first hand.

[0067] For example, after guide information for moving the wrist of a user wearing the first wearable electronic device (301) is output, the processor (220) can use the first sensor (311) (e.g., an inertial sensor) to check the movement information of the user. Based on the movement information, the processor (220) can check the direction (e.g., right or left) of the wrist of the user wearing the first wearable electronic device (301). The processor (220) can display the direction of the user's wrist checked by the processor (220) through the display. When the processor (220) confirms a user's input for changing the direction of the user's wrist checked by the processor (220), the processor (220) can confirm that the first wearable electronic device (301) is worn in the changed direction of the wrist. If the processor (220) does not confirm a user input to change the direction of the user's wrist confirmed by the processor (220), the processor (220) can confirm that the first wearable electronic device (301) is worn in the direction of the wrist confirmed by the processor (220).

[0068] For example, after guide information for wearing the second wearable electronic device (402) on one of the fingers of the first hand is output, if information indicating that the second wearable electronic device (402) is worn is obtained, the processor (220) can determine that the second wearable electronic device (402) is worn on one of the fingers of the first hand.

[0069] According to one embodiment, the processor (220) may obtain information about the body part on which the wearable electronic devices (301, 402, 403) are worn based on user input. For example, the processor (220) may provide a user interface for the user to select the body part on which the wearable electronic devices (301, 402, 403) are worn. The processor (220) may identify the body part on which the wearable electronic devices (301, 402, 403) are worn based on the user input to the user interface.

[0070] According to one embodiment, when it is confirmed that the first wearable electronic device (301) and the second wearable electronic device (402) are worn, the processor (220) may use the first wearable electronic device (301) to determine whether the user's condition is stable. According to one embodiment, the processor (220) may use the communication circuit (290) to obtain acceleration data representing the movement of the first body part from the first wearable electronic device (301) and obtain the user's heart rate data from the first wearable electronic device (301). For example, the movement of the first body part may include the movement of the first wearable electronic device (301).

[0071] In one embodiment, the processor (220) may compare acceleration data with a designated acceleration value. In one embodiment, the processor (220) may compare heart rate data with a designated heart rate value. For example, the designated acceleration value may represent an acceleration value for determining whether the user's state is stable. For example, the designated heart rate value may represent a heart rate value for determining whether the user's state is stable.

[0072] According to one embodiment, the processor (220) can determine that the user's state is stable if it is determined that the acceleration data is less than a specified acceleration value and the heart rate data is less than a specified heart rate value. According to one embodiment, the processor (220) can determine that the user's state is not stable if it is determined that the acceleration data is less than a specified acceleration value and the heart rate data is not less than a specified heart rate value.

[0073] According to an implementation, when it is determined that the first wearable electronic device (301) and the second wearable electronic device (402) are worn, the processor (220) may use the second wearable electronic device (402) to determine whether the user's condition is stable. According to one embodiment, the processor (220) may use the communication circuit (290) to obtain heart rate data representing the user's biometric information from the second wearable electronic device (402). According to one embodiment, the processor (220) may determine whether the user's condition is stable based on the heart rate data obtained from the second wearable electronic device (402).

[0074] According to one embodiment, the processor (220) may obtain first sensing data indicating movement of a first body part from the first wearable electronic device (301) using the communication circuit (290) based on determining that the user's state is stable. According to one embodiment, the processor (320) may obtain the first sensing data using the first sensor (311) and transmit the first sensing data to the electronic device (201) using the communication circuit (390). For example, the first sensing data may include acceleration values ​​obtained by the first wearable electronic device (301) during a specified period of time. For example, the specified period of time may be set as a time during which the user's movement can be confirmed.

[0075] According to one embodiment, the processor (220) may obtain second sensing data indicating movement of a second body part from the second wearable electronic device (402) using the communication circuit (290) based on determining that the user's state is stable. According to one embodiment, the processor (402) may obtain the second sensing data using the first sensor (411) and transmit the second sensing data to the electronic device (201) using the communication circuit (490). For example, the second sensing data may include acceleration values ​​obtained by the second wearable electronic device (402) during a specified period of time. For example, the specified period of time may be set as a time during which the user's movement can be determined.

[0076] According to one embodiment, the processor (220) may identify a symptom associated with the user's Parkinson's disease based on at least one of the first sensing data or the second sensing data. According to one embodiment, the symptom associated with Parkinson's disease may include at least one of a tremor symptom of a body part of the user or a pill rolling symptom. For example, a tremor symptom may include a symptom in which a tremor occurs in the user's wrist. For example, a pill rolling symptom may include a symptom in which a tremor occurs in the user's fingers.

[0077] According to one embodiment, the processor (220) may convert the first sensing data from time-domain sensing data to frequency-domain sensing data. According to one embodiment, the processor (220) may convert the second sensing data from time-domain sensing data to frequency-band sensing data.

[0078] According to one embodiment, the processor (220) may obtain a power spectral density for the sensed data of the first frequency band that has been converted based on the first sensed data. According to one embodiment, the processor (220) may obtain a power spectral density for the sensed data of the second frequency band that has been converted based on the second sensed data. According to one embodiment, the power spectral density may represent a ratio between the square of the frequency and the acceleration value (power spectral density (PSD).

[0079] According to one embodiment, the processor (220) may determine that a symptom related to Parkinson's disease of the user is confirmed when a PSD value larger than a first designated value is confirmed in a specific frequency band among the PSD values ​​for the sensed data of the converted first frequency band, or when a PSD value larger than a first designated value is confirmed in a specific frequency band among the PSD values ​​for the sensed data of the converted second frequency band. For example, the specific frequency band may include a frequency band between 3 and 7 Hertz (Hz). However, this is an example, and the specific frequency band may not be limited to the above example. For example, the first designated value may represent a value for determining whether a symptom related to Parkinson's disease has occurred. However, the first designated value may not be limited to the above example. For example, the first designated value may be set by the user or automatically set by the electronic device (201).

[0080] According to one embodiment, when the processor (220) determines that a first sensing value greater than a first designated value in a specific frequency band among the PSD values ​​for the sensed data of the converted first frequency band is greater than a first designated value in a specific frequency band, the processor (220) may determine that the first symptom corresponding to the first body part has occurred in the first body part. According to one embodiment, when the processor (220) determines that a PSD value greater than a first designated value in a specific frequency band among the PSD values ​​for the sensed data of the converted second frequency band is greater than a first designated value in a specific frequency band, the processor (220) may determine that the second symptom corresponding to the second body part has occurred in the second body part. For example, the first symptom and the second symptom may be different from each other or may be the same symptoms. At this time, according to one embodiment, when the first wearable electronic device (301) is worn on the wrist of the user's first hand and the second wearable electronic device (402) is worn on any one of the fingers of the first hand, the processor (220) may determine that the tremor symptom has occurred in the first body part and determine that the pill rolling symptom has occurred in the second body part. Alternatively, according to one embodiment, when the first wearable electronic device (301) is worn on the wrist of the user's first hand and the second wearable electronic device (402) is worn on any one of the fingers of the second hand, the processor (220) may determine that the tremor symptom has occurred in the first body part and the second body part.

[0081] According to one embodiment, the processor (220) may further consider the user's gait data to identify symptoms related to Parkinson's disease. According to one embodiment, the processor (220) may acquire gait data from the first wearable electronic device (301) or the second wearable electronic device (402) based on acquiring the first sensing data and the second sensing data. According to one embodiment, the gait data may include at least one of data related to the user's walking speed or data related to the user's stride.

[0082] In one embodiment, the processor (220) may compare the gait data with a second specified value. For example, the second specified value may represent a value for a specified walking speed or a specified stride that can be used to identify Parkinson's disease. For example, the processor (220) may determine whether data related to the user's walking speed is less than the specified walking speed. The processor (220) may determine whether data related to the user's stride is less than the specified stride. For example, the specified walking speed may refer to a walking speed at which symptoms associated with Parkinson's disease are determined not to occur. For example, the specified stride may represent a stride at which symptoms associated with Parkinson's disease are determined not to occur. For example, the second specified value may be automatically set by the processor (220) or may be set by the user.

[0083] According to one embodiment, if the processor (220) determines that a PSD value greater than a first specified value in a specific frequency band among the PSD values ​​for the sensed data of the converted first frequency band is greater than a first specified value, and the gait data is determined to be less than a second specified value, the processor (220) may determine that a first symptom related to Parkinson's disease has occurred in the first body part. According to one embodiment, if the processor (220) determines that a PSD value greater than a first specified value in a specific frequency band among the PSD values ​​for the sensed data of the converted first frequency band is greater than a first specified value, and the gait data is determined to be greater than a second specified value, the processor (220) may determine that a first symptom related to Parkinson's disease has not occurred in the first body part. According to one embodiment, if the processor (220) determines that a PSD value greater than a first specified value in a specific frequency band among the PSD values ​​for the sensed data of the converted first frequency band is not greater than a first specified value, and the gait data is determined to be less than a second specified value, the processor (220) may determine that a first symptom related to Parkinson's disease has not occurred in the first body part.

[0084] According to one embodiment, the processor (220) may determine that a second symptom related to Parkinson's disease has occurred in a second body part when, among the PSD values ​​for the sensed data of the converted second frequency band, a PSD value greater than a first specified value is confirmed in a specific frequency band, and gait data is confirmed to be less than a second specified value.

[0085] According to one embodiment, the processor (220) may store gait data acquired from the first wearable electronic device (301) or the second wearable electronic device (402) in a memory (not shown). According to one embodiment, if it is determined that the first symptom does not occur in the first body part and the second symptom does not occur in the second body part, the processor (220) may store the gait data in the memory as the second designated value.

[0086] According to one embodiment, when symptoms related to Parkinson's disease are identified, the processor (220) may display information indicating the occurrence of symptoms related to Parkinson's disease through a display (not shown). According to one embodiment, the processor (220) may also output information indicating the occurrence of symptoms related to Parkinson's disease through auditory or tactile means.

[0087] According to one embodiment, the operations performed by the electronic device (201) may be performed by the first wearable electronic device (301), the second wearable electronic device (402), and the third wearable electronic device (403). According to one embodiment, the operations performed by the first wearable electronic device (301) may be performed by the second wearable electronic device (402) and the third wearable electronic device (403). According to one embodiment, the operations performed by the second wearable electronic device (402) may be performed by the third wearable electronic device (403).

[0088] The operations of the electronic device (201) described in the drawings below may be performed by the processor (220). However, for convenience of explanation, the operations performed by the processor (220) will be described as being performed by the electronic device (201).

[0089] The operations of the first wearable electronic device (301) described in the drawings below may be performed by the processor (320). However, for convenience of explanation, the operations performed by the processor (320) will be described as being performed by the first wearable electronic device (301).

[0090] The operations of the second wearable electronic device (402) described in the drawings below may be performed by the processor (420). However, for convenience of explanation, the operations performed by the processor (420) will be described as being performed by the second wearable electronic device (402).

[0091] The operations of the third wearable electronic device (403) described in the drawings below may be performed by the processor (421). However, for convenience of explanation, the operations performed by the processor (421) will be described as being performed by the third wearable electronic device (403).

[0092] FIG. 3 is a flowchart illustrating an operation of an electronic device according to one embodiment to identify symptoms associated with Parkinson's disease.

[0093] Referring to FIG. 3, according to one embodiment, in operation 331, the electronic device (201) (e.g., the electronic device (201) of FIG. 2) may determine whether the user's state is stable. According to one embodiment, the electronic device (201) may determine whether the user's state is stable based on acceleration data indicating movement of a first body part of the user wearing the first wearable electronic device (301) (e.g., the first wearable electronic device (301) of FIG. 2) and heart rate data indicating the user's biometric information. According to one embodiment, the operation of the electronic device (201) determining whether the user's state is stable is specifically described in FIG. 4.

[0094] According to one embodiment, in operation 333, the electronic device (201) may obtain first sensing data indicating movement of a first body part from the first wearable electronic device (301) based on determining that the user's state is stable. According to one embodiment, the first wearable electronic device (301) may obtain first sensing data indicating movement of the first body part through the first sensor (311) (e.g., the first sensor (311) of FIG. 2 ). For example, the first sensing data may include acceleration values ​​obtained by the first wearable electronic device (301) over a specified period of time. For example, the first body part may include a wrist part of a first hand or a wrist part of a second hand. For example, the first hand may refer to a right hand, and the second hand may refer to a left hand.

[0095] According to one embodiment, in operation 335, the electronic device (201) may obtain second sensing data indicating movement of a second body part from a second wearable electronic device (402) (e.g., the second wearable electronic device (402) of FIG. 2). According to one embodiment, the second wearable electronic device (402) may obtain second sensing data indicating movement of the second body part through a first sensor (411) (e.g., the first sensor (411) of FIG. 2). For example, the second sensing data may include sensing values ​​indicating acceleration values ​​obtained during a specified period of time. For example, the second body part may include any one of the fingers of the first hand or any one of the fingers of the second hand.

[0096] According to one embodiment, in operation 337, the electronic device (201) can identify a symptom associated with Parkinson's disease based on at least one of the first sensing data or the second sensing data.

[0097] In one embodiment, symptoms associated with Parkinson's disease may include tremor symptoms or pill rolling symptoms. For example, tremor symptoms may include tremors in the user's wrist. For example, pill rolling symptoms may include tremors in the user's fingers.

[0098] According to one embodiment, the electronic device (201) can convert the first sensing data from time-domain sensing data to frequency-domain sensing data. According to one embodiment, the electronic device (201) can convert the second sensing data from time-domain sensing data to frequency-band sensing data.

[0099] According to one embodiment, the electronic device (201) can obtain a power spectral density for the sensed data of the first frequency band that has been converted based on the first sensed data. According to one embodiment, the electronic device (201) can obtain a power spectral density for the sensed data of the second frequency band that has been converted based on the second sensed data. According to one embodiment, the power spectral density can represent a ratio between the square of the frequency and the acceleration value (power spectral density (PSD).

[0100] According to one embodiment, the electronic device (201) may determine that a symptom related to Parkinson's disease is detected when a PSD value greater than a first specified value is confirmed in a specific frequency band among the PSD values ​​for the sensed data of the converted first frequency band, or when a PSD value greater than a first specified value is confirmed in a specific frequency band among the PSD values ​​for the sensed data of the converted second frequency band. For example, the specific frequency band may include a frequency band between 3 and 7 Hertz (Hz). However, this is an example, and the specific frequency band may not be limited to the above example. For example, the first specified value may represent a value for determining whether a symptom related to Parkinson's disease has occurred. However, the first specified value may not be limited to the above example. For example, the first specified value may be set by a user or automatically set by the electronic device (201).

[0101] According to one embodiment, the operations performed by the second wearable electronic device (402) may be performed by the third wearable electronic device (403) (e.g., the third wearable electronic device (403) of FIG. 2).

[0102] FIG. 4 is a flowchart illustrating an operation of an electronic device according to one embodiment to determine whether a user's state is stable.

[0103] Referring to FIG. 4, according to one embodiment, in operation 433, the electronic device (201) (e.g., the electronic device (201) of FIG. 2) may obtain third sensing data indicating movement of a first body part from the first wearable electronic device (301) (e.g., the first wearable electronic device (301) of FIG. 2). According to one embodiment, the first wearable electronic device (301) may obtain the third sensing data indicating movement of the first body part through the first sensor (311) (e.g., the first sensor (311) of FIG. 2). For example, the third sensing data may include acceleration values ​​obtained by the first wearable electronic device (301) during a specified period of time.

[0104] According to one embodiment, in operation 435, the electronic device (201) may obtain fourth sensing data representing biometric information from the first wearable electronic device (301). According to one embodiment, the first wearable electronic device (301) may obtain the fourth sensing data representing biometric information through the second sensor (312) (e.g., the second sensor (312) of FIG. 2). For example, the fourth sensing data may include a heart rate value obtained by the first wearable electronic device (301) during a preset period of time.

[0105] According to one embodiment, in operation 437, the electronic device (201) may determine whether the value of the third sensing data is less than a specified acceleration value. For example, the specified acceleration value may represent an acceleration value for determining whether the user's state is stable.

[0106] According to one embodiment, if the electronic device (201) determines that the value of the third sensing data is less than a specified acceleration value (operation 437 - Yes), in operation 439, it may determine whether the fourth sensing data is greater than a specified heart rate value. For example, the specified heart rate value may represent a heart rate value for determining whether the user's condition is stable.

[0107] According to one embodiment, if the electronic device (201) determines that the value of the third sensing data is not less than the specified acceleration value (operation 437-No), then in operation 443, the electronic device can determine that the user's state is not stable.

[0108] According to one embodiment, if the electronic device (201) determines that the value of the fourth sensing data is less than the specified heart rate value (operation 439 - Yes), in operation 441, the electronic device can determine that the user's condition is stable.

[0109] According to one embodiment, if the electronic device (201) determines that the fourth sensing data is not less than the specified heart rate value (operation 439-No), then in operation 443, the electronic device may determine that the user's condition is not stable.

[0110] According to an implementation, according to one embodiment, the electronic device (201) may obtain acceleration data representing the movement of a second body part from the second wearable electronic device (402) and obtain heart rate data. According to one embodiment, the electronic device (201) may determine whether the value of the acceleration data is less than a specified acceleration value and whether the value of the heart rate data is less than a specified heart rate value. According to one embodiment, if the value of the acceleration data is less than the specified acceleration value and the value of the heart rate data is less than the specified heart rate value, the electronic device (201) may determine that the user's state is stable.

[0111] According to one embodiment, the electronic device (201) can perform operations 443 and 435 simultaneously. According to one embodiment, the electronic device (201) can perform operation 433 after performing operation 435. According to one embodiment, the electronic device (201) can perform operations 437 and 439 simultaneously. According to one embodiment, the electronic device (201) can perform operation 437 after performing operation 439.

[0112] According to one embodiment, the operations performed by the second wearable electronic device (402) may be performed by the third wearable electronic device (403) (e.g., the third wearable electronic device (403) of FIG. 2).

[0113] FIG. 5A is a flowchart illustrating an operation of an electronic device according to one embodiment to identify symptoms related to Parkinson's disease in a body part based on sensing data.

[0114] Referring to FIG. 5A, according to one embodiment, in operation 511, an electronic device (201) (e.g., the electronic device (201) of FIG. 2) may output guide information to cause a first wearable electronic device (301) (e.g., the first wearable electronic device (301) of FIG. 2) to be worn on a first body part and a second wearable electronic device (402) (e.g., the second wearable electronic device (402) of FIG. 2) to be worn on a second body part. For example, the first body part may include a wrist part of a first hand. For example, the second body part may include any one of the fingers of the first hand or any one of the fingers of the second hand.

[0115] According to one embodiment, the electronic device (201) can obtain information from the first wearable electronic device (301) indicating that the first wearable electronic device (301) has been worn by the user. According to one embodiment, the electronic device (201) can obtain information from the second wearable electronic device (402) indicating that the second wearable electronic device (402) has been worn by the user.

[0116] For example, when the electronic device (201) obtains information indicating that the first wearable electronic device (301) is worn after guide information for wearing the first wearable electronic device (301) on the wrist area of ​​the first hand is output, it can be confirmed that the first wearable electronic device (301) is worn on the wrist area of ​​the first hand.

[0117] For example, when the electronic device (201) obtains information indicating that the second wearable electronic device (402) is worn after guide information for wearing the second wearable electronic device (402) on one of the fingers of the first hand is output, the electronic device (201) can confirm that the second wearable electronic device (402) is worn on one of the fingers of the first hand.

[0118] According to one embodiment, in operation 513, the electronic device (201) may obtain first sensing data from the first wearable electronic device (301) and second sensing data from the second wearable electronic device (402).

[0119] According to one embodiment, in operation 515, the electronic device (201) may identify a first symptom (e.g., tremor symptom or peeling symptom) associated with Parkinson's disease in a first body part based on at least one of the first sensing data or the second sensing data.

[0120] According to one embodiment, the electronic device (201) can convert the first sensing data from time-domain sensing data to frequency-domain sensing data. According to one embodiment, the electronic device (201) can convert the second sensing data from time-domain sensing data to frequency-band sensing data.

[0121] According to one embodiment, the electronic device (201) can obtain a power spectral density for the sensed data of the first frequency band that has been converted based on the first sensed data. According to one embodiment, the electronic device (201) can obtain a power spectral density for the sensed data of the second frequency band that has been converted based on the second sensed data. According to one embodiment, the power spectral density can represent a ratio between the square of the frequency and the acceleration value (power spectral density (PSD).

[0122] According to one embodiment, the electronic device (201) may determine that a first symptom related to Parkinson's disease has occurred in a first body part when a PSD value greater than a first specified value is identified in a specific frequency band among the PSD values ​​for the sensed data of the converted first frequency band, or when a PSD value greater than a first specified value is identified in a specific frequency band among the PSD values ​​for the sensed data of the converted second frequency band.

[0123] According to one embodiment, in operation 517, the electronic device (201) may identify a second symptom (e.g., tremor symptom or peeling symptom) associated with Parkinson's disease in a second body part based on at least one of the first sensing data or the second sensing data.

[0124] According to one embodiment, the electronic device (201) may determine that a second symptom related to Parkinson's disease has occurred in a second body part when a PSD value greater than a first specified value is identified in a specific frequency band among the PSD values ​​for the sensed data of the converted first frequency band, or a PSD value greater than a first specified value is identified in a specific frequency band among the PSD values ​​for the sensed data of the converted second frequency band.

[0125] According to one embodiment, the electronic device (201) may determine the first symptom as a progression symptom and determine the second symptom as progression and / or a peel rolling symptom when the first wearable electronic device (301) is worn on the wrist of the first hand and the second wearable electronic device (402) is worn on any one of the fingers of the first hand.

[0126] According to one embodiment, the electronic device (201) may determine the first symptom and the second symptom as progression symptoms when the first wearable electronic device (301) is worn on the wrist of the first hand and the second wearable electronic device (402) is worn on one of the fingers of the second hand.

[0127] According to one embodiment, the operations performed by the second wearable electronic device (402) may be performed by the third wearable electronic device (403) (e.g., the third wearable electronic device (403) of FIG. 2).

[0128] FIG. 5b is a flowchart illustrating an operation of an electronic device according to one embodiment to identify symptoms related to Parkinson's disease in a body part based on sensing data.

[0129] Referring to FIG. 5B, according to one embodiment, in operation 531, the electronic device (201) (e.g., the electronic device (201) of FIG. 2) may output guide information to cause the second wearable electronic device (402) (e.g., the second wearable electronic device (402) of FIG. 2) to be worn on a third body part and the third wearable electronic device (403) (e.g., the third wearable electronic device (403) of FIG. 2) to be worn on a fourth body part. For example, the third body part may include a finger part of a first hand (e.g., the left hand). For example, the fourth body part may include any one of the fingers of the first hand or any one of the fingers of the second hand (e.g., the right hand). For example, the first hand may represent a hand different from the second hand.

[0130] According to one embodiment, the electronic device (201) can obtain information from the second wearable electronic device (402) indicating that the second wearable electronic device (402) is worn by the user. According to one embodiment, the electronic device (201) can obtain information from the third wearable electronic device (403) indicating that the third wearable electronic device (403) is worn by the user.

[0131] For example, when the electronic device (201) obtains information indicating that the second wearable electronic device (402) is worn after guide information for wearing the second wearable electronic device (402) on the finger portion of the first hand is output through a display included in the electronic device (201), the electronic device (201) can confirm that the second wearable electronic device (402) is worn on the finger portion of the first hand. For example, when the second wearable electronic device (402) confirms that the second wearable electronic device (402) is worn using a sensor, the second wearable electronic device (402) can transmit information indicating that the second wearable electronic device (402) is worn by the user to the electronic device (201).

[0132] For example, when the electronic device (201) obtains information indicating that the third wearable electronic device (403) is worn after guide information for wearing the third wearable electronic device (403) on the finger area of ​​the first or second hand is output through the display included in the electronic device (201), the electronic device (201) can confirm that the third wearable electronic device (403) is worn on the finger area of ​​the first or second hand. For example, when the third wearable electronic device (403) confirms that the third wearable electronic device (403) is worn using a sensor, the third wearable electronic device (403) can transmit information indicating that the third wearable electronic device (403) is worn by the user to the electronic device (201).

[0133] According to one embodiment, in operation 533, the electronic device (201) may obtain fifth sensing data from the second wearable electronic device (402) and sixth sensing data from the third wearable electronic device (403). For example, the fifth sensing data and the sixth sensing data may include acceleration data.

[0134] According to one embodiment, in operation 535, the electronic device (201) may identify a symptom associated with Parkinson's disease (e.g., tremor symptom or peeling symptom) in a third body part based on at least one of the fifth sensing data or the sixth sensing data.

[0135] According to one embodiment, the electronic device (201) can convert the fifth sensing data from time-band sensing data to frequency-band sensing data. According to one embodiment, the electronic device (201) can convert the sixth sensing data from time-band sensing data to frequency-band sensing data.

[0136] According to one embodiment, the electronic device (201) may obtain a power spectral density for the sensing data of the fifth frequency band converted based on the fifth sensing data. According to one embodiment, the electronic device (201) may obtain a power spectral density for the sensing data of the sixth frequency band converted based on the sixth sensing data. According to one embodiment, the power spectral density may represent a ratio between the square of the frequency and the acceleration value (power spectral density (PSD).

[0137] According to one embodiment, the electronic device (201) may determine that a symptom related to Parkinson's disease has occurred in a third body part when a PSD value greater than a first specified value is identified in a specific frequency band among the PSD values ​​for the sensed data of the converted fifth frequency band, or when a PSD value greater than a first specified value is identified in a specific frequency band among the PSD values ​​for the sensed data of the converted sixth frequency band.

[0138] According to one embodiment, in operation 537, the electronic device (201) may identify a symptom associated with Parkinson's disease (e.g., tremor symptom or peeling symptom) in the fourth body part based on at least one of the fifth sensing data or the sixth sensing data.

[0139] According to one embodiment, the electronic device (201) may determine that a second symptom related to Parkinson's disease has occurred in a second body part when a PSD value greater than a first specified value is identified in a specific frequency band among the PSD values ​​for the sensed data of the converted fifth frequency band, or a PSD value greater than a first specified value is identified in a specific frequency band among the PSD values ​​for the sensed data of the converted sixth frequency band.

[0140] According to one embodiment, when a second wearable electronic device (402) is worn on a finger portion of a first hand and a third wearable electronic device (403) is worn on a finger portion of the first hand, the electronic device (201) can determine that a tremor and / or a feeling of rolling has occurred in a third body portion and can determine that a tremor and / or a feeling of rolling has occurred in a fourth body portion.

[0141] According to one embodiment, when the first wearable electronic device (301) is worn on the wrist of the first hand and the second wearable electronic device (402) is worn on the finger of the second hand, the electronic device (201) can determine that a tremor and / or a feeling of rolling has occurred in a third body part and can determine that a tremor and / or a feeling of rolling has occurred in a fourth body part.

[0142] FIG. 6 is a flowchart illustrating an operation of an electronic device according to one embodiment to identify symptoms related to Parkinson's disease based on gait data.

[0143] Referring to FIG. 6, according to one embodiment, in operation 611, an electronic device (201) (e.g., the electronic device (201) of FIG. 2) may obtain first sensing data indicating movement of a first body part from a first wearable electronic device (301) (e.g., the first wearable electronic device (301) of FIG. 2) and may obtain second sensing data indicating movement of a second body part from a second wearable electronic device (402) (e.g., the second wearable electronic device (402) of FIG. 2).

[0144] According to one embodiment, in operation 613, the electronic device (201) may obtain the user's gait data from the first wearable electronic device (301) or the second wearable electronic device (402). According to one embodiment, the gait data may include at least one of data related to the user's walking speed and data related to the user's stride. According to one embodiment, the electronic device (201) may store the user's gait data. According to one embodiment, the electronic device (201) may obtain the gait data after obtaining the first sensing data and the second sensing data. Depending on the implementation, the electronic device (201) may obtain the first sensing data and the second sensing data after obtaining the gait data. Depending on the implementation, the electronic device (201) may perform operations 611 and 613 simultaneously.

[0145] According to one embodiment, in operation 615, the electronic device (201) can identify a first symptom associated with Parkinson's disease in a first body part on which the first wearable electronic device (301) is worn, based on the first sensing data and the gait data.

[0146] In one embodiment, the electronic device (201) may compare the gait data with a second specified value. For example, the second specified value may represent a value for a specified walking speed or a specified stride length that can be used to identify Parkinson's disease. For example, the electronic device (201) may determine whether the user's walking speed is less than the specified walking speed. In one embodiment, the electronic device (201) may determine whether the user's stride length is less than the specified stride length. For example, the specified walking speed may refer to a speed for determining symptoms associated with Parkinson's disease. For example, the specified stride length may represent a stride length for determining symptoms associated with Parkinson's disease.

[0147] According to one embodiment, the electronic device (201) may determine that a first symptom related to Parkinson's disease has occurred in the first body part if a first sensing value greater than a first specified value in a specific frequency band among the first sensing data is confirmed and the gait data is confirmed to be less than a second specified value. According to one embodiment, the electronic device (201) may determine that a first symptom related to Parkinson's disease has not occurred in the first body part if at least one sensing value greater than the first specified value in a specific frequency band among the first sensing data is not confirmed or the gait data is confirmed to be not less than a second specified value.

[0148] According to one embodiment, in operation 617, the electronic device (201) can identify a second symptom associated with Parkinson's disease in a second body part on which the second wearable electronic device (402) is worn, based on the second sensing data and the gait data.

[0149] According to one embodiment, the electronic device (201) may determine that a second symptom related to Parkinson's disease is detected in a second body part when a second sensing value greater than a first specified value in a specific frequency band among the second sensing data is confirmed and the gait data is confirmed to be less than a second specified value. According to one embodiment, the electronic device (201) may determine that a second symptom related to Parkinson's disease is not detected in a second body part when at least one sensing value greater than a second specified value in a specific frequency band among the second sensing data is not confirmed or the gait data is confirmed to be not greater than the second specified value.

[0150] According to one embodiment, the electronic device (201) may determine the first symptom as a progression symptom and the second symptom as a peel rolling symptom when the first wearable electronic device (301) is worn on the wrist area of ​​the first hand and the second wearable electronic device (402) is worn on one of the fingers of the first hand.

[0151] According to one embodiment, the electronic device (201) may determine the first symptom and the second symptom as progression symptoms when the first wearable electronic device (301) is worn on the wrist of the first hand and the second wearable electronic device (402) is worn on one of the fingers of the second hand.

[0152] The walking speed and stride length of patients with Parkinson's disease are relatively slower than those of individuals without Parkinson's disease. According to one embodiment, the electronic device (201) can accurately identify diseases related to Parkinson's disease by further considering the user's gait data.

[0153] FIG. 7 is a diagram illustrating an operation of a first wearable electronic device according to one embodiment to acquire first sensing data indicating movement of a first body part.

[0154] According to one embodiment, a first wearable electronic device (301) (e.g., the first wearable electronic device (301) of FIG. 2) may obtain first sensing data indicating movement of a first body part of a user wearing the first wearable electronic device (301) through a first sensor (311) (e.g., the first sensor (311) of FIG. 2). According to one embodiment, the first sensor (311) may be implemented as an x-axis acceleration sensor, a y-axis acceleration sensor, and a z-axis acceleration sensor. According to one embodiment, the first sensing data may mean acceleration values ​​obtained during a specified period of time.

[0155] Referring to (a) of FIG. 7, according to one embodiment, the first wearable electronic device (301) may obtain sensing values ​​representing movement of a first body part in the x-axis direction for a specified period of time through the first sensor (311). For example, positive acceleration values ​​may mean acceleration values ​​representing movement of the first body part in the +x-axis direction. For example, negative acceleration values ​​may mean acceleration values ​​representing movement of the first body part in the -x-axis direction.

[0156] Referring to (b) of FIG. 7, according to one embodiment, the first wearable electronic device (301) may obtain sensing values ​​representing movement of a first body part in the y-axis direction for a specified period of time through the first sensor (311). For example, positive acceleration values ​​may mean acceleration values ​​representing movement of the first body part in the +y-axis direction. For example, negative acceleration values ​​may mean acceleration values ​​representing movement of the first body part in the -y-axis direction.

[0157] Referring to (c) of FIG. 7, according to one embodiment, the first wearable electronic device (301) may obtain sensing values ​​representing movement of a first body part in the z-axis direction for a specified period of time through the first sensor (311). For example, positive acceleration values ​​may mean acceleration values ​​representing movement of the first body part in the +z-axis direction. For example, negative acceleration values ​​may mean acceleration values ​​representing movement of the first body part in the -z-axis direction.

[0158] According to one embodiment, the first wearable electronic device (301) may obtain first sensing data representing the movement of the first body part based on sensing values ​​representing the movement of the first body part in the x-axis direction, sensing values ​​representing the movement of the first body part in the y-axis direction, and sensing values ​​representing the movement of the first body part in the z-axis direction. For example, the first sensing data may mean data based on the magnitude of the sensing values ​​representing the movement of the first body part in the x-axis direction, the y-axis direction, and the z-axis direction. According to one embodiment, the first wearable electronic device (301) may transmit the first sensing data to the electronic device (201) (e.g., the electronic device (201) of FIG. 2).

[0159] FIG. 8 is a graph illustrating an operation of an electronic device according to one embodiment to identify symptoms related to Parkinson's disease based on first sensing data.

[0160] Referring to FIG. 8, according to one embodiment, an electronic device (201) (e.g., the electronic device (201) of FIG. 2) may convert first sensing data from sensing data in a time band to sensing data in a frequency band. According to one embodiment, the electronic device (201) may obtain a power spectral density for the sensed data in the converted frequency band. The power spectral density may represent a ratio between the square of a frequency and an acceleration value (power spectral density (PSD).

[0161] The graph shown may represent a graph showing the power spectral density for sensing data of a converted frequency band.

[0162] The horizontal axis of the illustrated graph may represent frequency (Hertz; HZ), and the vertical axis may represent power spectral density (PSD). According to one embodiment, if the power spectral density value (PSD value) for the sensed data of the converted frequency band is determined to be greater than a first designated value in a specific frequency band, the electronic device (201) may determine that a symptom related to Parkinson's disease has occurred in a first body part of a user wearing the first wearable electronic device (301). For example, the specific frequency band may include a frequency band between 3 and 7 Hertz (Hz). For example, the first designated value may mean 30. For example, the first designated value may represent a value for determining whether a symptom related to Parkinson's disease has occurred. However, the first designated value may not be limited to the above example. For example, the first designated value may be set by the user or automatically set by the electronic device (201).

[0163] FIG. 9 is a diagram illustrating an operation of an electronic device according to one embodiment to identify symptoms related to Parkinson's disease in a first body part on which a first wearable electronic device is worn and a second body part on which a second wearable electronic device is worn.

[0164] Referring to FIG. 9, according to one embodiment, an electronic device (201) (e.g., the electronic device (201) of FIG. 2) may output guide information to cause a first wearable electronic device (301) (e.g., the first wearable electronic device (301) of FIG. 2) to be worn on a first body part and a second wearable electronic device (402) (e.g., the second wearable electronic device (402) of FIG. 2) to be worn on a second body part. For example, the first body part may include a wrist part of a right hand. For example, the second body part may include an index finger of a right hand. According to one embodiment, the first wearable electronic device (301) and the second wearable electronic device (402) may be worn on the same hand (e.g., the right hand).

[0165] According to one embodiment, the first wearable electronic device (301) can confirm that the first wearable electronic device (301) is worn through a sensor (e.g., a proximity sensor) included in the first wearable electronic device (301). According to one embodiment, the second wearable electronic device (402) can confirm that the second wearable electronic device (402) is worn through a sensor (e.g., a proximity sensor) included in the second wearable electronic device (402).

[0166] According to one embodiment, the electronic device (201) can obtain information from the first wearable electronic device (301) and the second wearable electronic device (402) indicating that the first wearable electronic device (301) and the second wearable electronic device (402) are worn.

[0167] According to one embodiment, when the electronic device (201) obtains information indicating that the first wearable electronic device (301) is worn after guide information for wearing the first wearable electronic device (301) on the wrist of the right hand is output, the electronic device can determine that the first wearable electronic device (301) is worn on the wrist of the right hand. According to one embodiment, when the electronic device (201) obtains information indicating that the second wearable electronic device (402) is worn after guide information for wearing the second wearable electronic device (402) on the index finger of the right hand is output, the electronic device can determine that the second wearable electronic device (402) is worn on the index finger of the right hand.

[0168] According to one embodiment, the electronic device (201) may obtain information from the user indicating that the first wearable electronic device (301) and the second wearable electronic device (402) are worn on a first body part and a second body part, respectively. For example, the electronic device (201) may provide a user interface for the user to select the body part on which the wearable electronic devices (301, 402) are worn. The electronic device (201) may identify the body part on which the wearable electronic devices (301, 402) are worn, based on the user input to the user interface. For example, the electronic device (201) may identify that the first wearable electronic device (301) is worn on the wrist of the right hand, and that the second wearable electronic device (402) is worn on the index finger of the right hand, based on the user input.

[0169] According to one embodiment, the electronic device (201) may obtain first sensing data from the first wearable electronic device (301) and second sensing data from the second wearable electronic device (402) based on the user's state being stable. The first sensing data may include data indicating movement of the wrist area of ​​the right hand. The second sensing data may include data indicating movement of the index finger of the right hand.

[0170] According to one embodiment, the electronic device (201) can convert the first sensing data from time-domain sensing data to frequency-domain sensing data. According to one embodiment, the electronic device (201) can convert the second sensing data from time-domain sensing data to frequency-band sensing data.

[0171] According to one embodiment, the electronic device (201) can obtain a power spectral density for the sensed data of the first frequency band that has been converted based on the first sensed data. According to one embodiment, the electronic device (201) can obtain a power spectral density for the sensed data of the second frequency band that has been converted based on the second sensed data. According to one embodiment, the power spectral density can represent a ratio between the square of the frequency and the acceleration value (power spectral density (PSD).

[0172] According to one embodiment, the electronic device (201) can identify a PSD value greater than a first specified value in a specific frequency band among the PSD values ​​for the sensed data of the converted first frequency band. According to one embodiment, the electronic device (201) can identify a PSD value greater than a first specified value in a specific frequency band among the PSD values ​​for the sensed data of the converted second frequency band.

[0173] According to one embodiment, the electronic device (201) may determine that a symptom related to Parkinson's disease has occurred in the wrist area of ​​the right hand based on confirming that a PSD value greater than a first specified value in a specific frequency band among the PSD values ​​for the sensed data of the converted first frequency band is greater than a first specified value. According to one embodiment, the electronic device (201) may determine that a symptom related to Parkinson's disease has occurred in the index finger of the right hand based on confirming that a PSD value greater than a first specified value in a specific frequency band among the PSD values ​​for the sensed data of the converted second frequency band is greater than a first specified value.

[0174] For example, the electronic device (201) may determine that a tremor symptom associated with Parkinson's disease has occurred in the wrist area of ​​the right hand. For example, the electronic device (201) may determine that a tremor symptom associated with Parkinson's disease and / or a peeling symptom has occurred in the index finger of the right hand. However, this is merely an example, and according to one embodiment, the electronic device (201) may also determine that a tremor symptom associated with Parkinson's disease has occurred in the index finger of the right hand.

[0175] Traditionally, electronic devices have assessed symptoms associated with Parkinson's disease using sensing data acquired by wearable electronic devices worn on the user's body. Previously, electronic devices could only detect either tremor or peeling symptoms associated with Parkinson's disease.

[0176] According to one embodiment, the electronic device (201) can determine symptoms related to Parkinson's disease by using sensing data acquired by a plurality of wearable electronic devices worn on a plurality of body parts of the user. According to one embodiment, the electronic device (201) can determine tremor symptoms and feel-rolling symptoms by using a first wearable electronic device (301) worn on the user's wrist and a second wearable electronic device (402) worn on the user's finger. Through this, the electronic device (201) can accurately identify symptoms related to the user's Parkinson's disease.

[0177] The drawing illustrated in FIG. 9 is an example, and the first wearable electronic device (301) can be worn on the wrist of the left hand, and the second wearable electronic device (402) can be worn on the index finger of the left hand. Furthermore, the finger on which the second wearable electronic device (402) is worn may not be limited to the index finger.

[0178] FIG. 10 is a diagram illustrating an operation of an electronic device according to one embodiment to identify symptoms related to Parkinson's disease in a first body part on which a first wearable electronic device is worn and a second body part on which a second wearable electronic device is worn.

[0179] Referring to FIG. 10, according to one embodiment, an electronic device (201) (e.g., the electronic device (201) of FIG. 2) may output guide information to cause a first wearable electronic device (301) (e.g., the first wearable electronic device (301) of FIG. 2) to be worn on a first body part and a second wearable electronic device (402) (e.g., the second wearable electronic device (402) of FIG. 2) to be worn on a second body part. For example, the first body part may include a wrist part of a left hand. For example, the second body part may include an index finger of a right hand. According to one embodiment, the first wearable electronic device (301) and the second wearable electronic device (402) may be worn on different hands (e.g., a right hand and a left hand).

[0180] According to one embodiment, the electronic device (201) can determine, based on the guide information, that the first wearable electronic device (301) is worn on the wrist of the left hand and the second wearable electronic device (402) is worn on the index finger of the right hand.

[0181] According to one embodiment, the electronic device (201) may obtain information from the user indicating that the first wearable electronic device (301) and the second wearable electronic device (402) are worn on a first body part and a second body part, respectively. For example, the electronic device (201) may provide a user interface for the user to select the body part on which the wearable electronic devices (301, 402) are worn. The electronic device (201) may identify the body part on which the wearable electronic devices (301, 402) are worn based on the user input to the user interface. For example, the electronic device (201) may identify that the first wearable electronic device (301) is worn on the wrist of the left hand and that the second wearable electronic device (402) is worn on the index finger of the right hand based on the user input.

[0182] According to one embodiment, the electronic device (201) may obtain first sensing data from the first wearable electronic device (301) and second sensing data from the second wearable electronic device (402) based on the user's state being stable. The first sensing data may include data indicating movement of the wrist area of ​​the left hand. The second sensing data may include data indicating movement of the index finger of the right hand.

[0183] According to one embodiment, the electronic device (201) can convert the first sensing data from time-domain sensing data to frequency-domain sensing data. According to one embodiment, the electronic device (201) can convert the second sensing data from time-domain sensing data to frequency-band sensing data.

[0184] According to one embodiment, the electronic device (201) can obtain a power spectral density for the sensed data of the first frequency band that has been converted based on the first sensed data. According to one embodiment, the electronic device (201) can obtain a power spectral density for the sensed data of the second frequency band that has been converted based on the second sensed data.

[0185] According to one embodiment, the electronic device (201) can identify a PSD value greater than a first specified value in a specific frequency band among the PSD values ​​for the sensed data of the converted first frequency band. According to one embodiment, the electronic device (201) can identify a PSD value greater than a first specified value in a specific frequency band among the PSD values ​​for the sensed data of the converted second frequency band.

[0186] According to one embodiment, the electronic device (201) may determine that a symptom related to Parkinson's disease has occurred in the wrist area of ​​the left hand based on confirming that a PSD value greater than a first specified value in a specific frequency band among the PSD values ​​for the sensed data of the converted first frequency band is greater than a first specified value. According to one embodiment, the electronic device (201) may determine that a symptom related to Parkinson's disease has occurred in the index finger of the right hand based on confirming that a PSD value greater than a first specified value in a specific frequency band among the PSD values ​​for the sensed data of the converted second frequency band is greater than a first specified value.

[0187] For example, the electronic device (201) may determine that a tremor symptom associated with Parkinson's disease has occurred in the wrist area of ​​the left hand. For example, the electronic device (201) may determine that a tremor symptom and / or a feel-rolling symptom has occurred in the index finger of the right hand. Depending on the implementation, in one embodiment, the electronic device (201) may also determine that a feel-rolling symptom has occurred in the index finger of the right hand.

[0188] Symptoms associated with Parkinson's disease can occur in both hands. Previously, electronic devices used sensing data acquired by a wearable electronic device worn on one of the user's hands to determine symptoms associated with Parkinson's disease. Previously, electronic devices were unable to detect Parkinson's disease symptoms occurring in the other hand, where the wearable electronic device was not worn.

[0189] According to one embodiment, the electronic device (201) can determine symptoms related to Parkinson's disease by using sensing data acquired by a plurality of wearable electronic devices worn on body parts of the user. According to one embodiment, the electronic device (201) can identify symptoms related to Parkinson's disease occurring in both hands by using data acquired by a first wearable electronic device (301) worn on one hand of the user and data acquired by a second wearable electronic device (402) worn on the other hand of the user.

[0190] The drawing illustrated in FIG. 10 is an example, and the first wearable electronic device (301) can be worn on the wrist of the right hand, and the second wearable electronic device (402) can be worn on the index finger of the left hand. Furthermore, the finger on which the second wearable electronic device (402) is worn may not be limited to the index finger.

[0191] FIG. 11 is a diagram illustrating an operation of an electronic device according to one embodiment to identify symptoms related to Parkinson's disease in a first body part on which a second wearable electronic device is worn and a second body part on which a third wearable electronic device is worn.

[0192] Referring to FIG. 11, according to one embodiment, an electronic device (201) (e.g., the electronic device (201) of FIG. 2) may output guide information to cause a second wearable electronic device (402) (e.g., the second wearable electronic device (402) of FIG. 2) to be worn on a first body part and a third wearable electronic device (403) (e.g., the third wearable electronic device (403) of FIG. 2) to be worn on a second body part. For example, the first body part may include an index finger of a right hand. For example, the second body part may include a thumb of a right hand.

[0193] According to one embodiment, the electronic device (201) can determine, based on the guide information, that the second wearable electronic device (402) is worn on the index finger of the right hand and the third wearable electronic device (403) is worn on the thumb of the right hand.

[0194] According to one embodiment, the electronic device (201) may obtain information from the user indicating that the first wearable electronic device (301) and the second wearable electronic device (402) are worn on the first body part and the second body part, respectively. For example, the electronic device (201) may provide a user interface for the user to select the body part on which the wearable electronic devices (402, 403) are worn. The electronic device (201) may identify the body part on which the wearable electronic devices (402, 403) are worn based on the user input to the user interface. For example, the electronic device (201) may identify that the second wearable electronic device (402) is worn on the index finger of the right hand and that the third wearable electronic device (403) is worn on the thumb of the right hand based on the user input.

[0195] According to one embodiment, the electronic device (201) can determine whether the user's state is stable. According to one embodiment, the electronic device (201) can determine whether the user's state is stable based on acceleration data and heart rate data acquired from the second wearable electronic device (402). Alternatively, according to one embodiment, the electronic device (201) can determine whether the user's state is stable based on acceleration data and heart rate data acquired from the third wearable electronic device (403).

[0196] According to one embodiment, the electronic device (201) may obtain fifth sensing data from the second wearable electronic device (402) and sixth sensing data from the third wearable electronic device (403) based on the user's state being stable. The fifth sensing data may include data indicating the movement of the index finger of the right hand. The sixth sensing data may include data indicating the movement of the thumb of the right hand.

[0197] According to one embodiment, the electronic device (201) can convert the fifth sensing data from time-band sensing data to frequency-band sensing data. According to one embodiment, the electronic device (201) can convert the sixth sensing data from time-band sensing data to frequency-band sensing data.

[0198] According to one embodiment, the electronic device (201) can obtain a power spectral density for the sensing data of the fifth frequency band converted based on the fifth sensing data. According to one embodiment, the electronic device (201) can obtain a power spectral density for the sensing data of the sixth frequency band converted based on the sixth sensing data.

[0199] According to one embodiment, the electronic device (201) can identify a PSD value greater than a first specified value in a specific frequency band among the PSD values ​​for the sensed data of the converted fifth frequency band. According to one embodiment, the electronic device (201) can identify a PSD value greater than a first specified value in a specific frequency band among the PSD values ​​for the sensed data of the converted sixth frequency band.

[0200] According to one embodiment, the electronic device (201) may determine that a symptom related to Parkinson's disease has occurred in the index finger of the right hand based on confirming that a PSD value greater than a first specified value in a specific frequency band among the PSD values ​​for the sensed data of the converted fifth frequency band is greater than a first specified value. According to one embodiment, the electronic device (201) may determine that a symptom related to Parkinson's disease has occurred in the thumb of the right hand based on confirming that a PSD value greater than a first specified value in a specific frequency band among the PSD values ​​for the sensed data of the converted sixth frequency band is greater than a first specified value.

[0201] For example, the electronic device (201) may determine that a feeling of rolling associated with Parkinson's disease has occurred in the index finger of the right hand. For example, the electronic device (201) may determine that a feeling of rolling has occurred in the thumb of the right hand.

[0202] Depending on the implementation, in one embodiment, the electronic device (201) may determine that a symptom associated with Parkinson's disease has occurred in the index finger of the right hand and the thumb of the right hand.

[0203] Peel-rolling symptoms associated with Parkinson's disease can occur in the thumb and index finger. In one embodiment, the second wearable electronic device (402) is worn on the index finger of the right hand, and the third wearable electronic device (403) is worn on the thumb of the right hand, so that the electronic device (201) can accurately determine whether the peel-rolling symptom has occurred.

[0204] The drawing illustrated in FIG. 11 is an example, and the second wearable electronic device (402) and the third wearable electronic device (403) may be worn on the index finger and the thumb of the left hand, respectively. Furthermore, the fingers on which the second wearable electronic device (402) and the third wearable electronic device (403) are worn may not be limited to the index finger and the thumb, respectively.

[0205] FIG. 12 is a diagram illustrating an operation of an electronic device according to one embodiment to identify symptoms related to Parkinson's disease in a first body part on which a second wearable electronic device is worn and a second body part on which a third wearable electronic device is worn.

[0206] Referring to FIG. 12, according to one embodiment, an electronic device (201) (e.g., the electronic device (201) of FIG. 2) may output guide information to cause a second wearable electronic device (402) (e.g., the second wearable electronic device (402) of FIG. 2) to be worn on a first body part and a third wearable electronic device (403) (e.g., the third wearable electronic device (403) of FIG. 2) to be worn on a second body part. For example, the first body part may include an index finger of a right hand. For example, the second body part may include an index finger of a left hand.

[0207] According to one embodiment, the electronic device (201) can determine, based on the guide information, that the second wearable electronic device (402) is worn on the index finger of the right hand and the third wearable electronic device (403) is worn on the index finger of the left hand.

[0208] According to one embodiment, the electronic device (201) may obtain information from the user indicating that the first wearable electronic device (301) and the second wearable electronic device (402) are worn on a first body part and a second body part, respectively. For example, the electronic device (201) may provide a user interface for the user to select the body part on which the wearable electronic devices (402, 403) are worn. The electronic device (201) may identify the body part on which the wearable electronic devices (402, 403) are worn, based on the user input to the user interface. For example, the electronic device (201) may identify that the second wearable electronic device (402) is worn on the index finger of the right hand, and that the third wearable electronic device (403) is worn on the index finger of the left hand, based on the user input.

[0209] According to one embodiment, the electronic device (201) may obtain fifth sensing data from the second wearable electronic device (402) and sixth sensing data from the third wearable electronic device (403) based on the user's state being stable. The fifth sensing data may include data indicating the movement of the index finger of the right hand. The sixth sensing data may include data indicating the movement of the index finger of the left hand.

[0210] According to one embodiment, the electronic device (201) can convert the fifth sensing data from time-band sensing data to frequency-band sensing data. According to one embodiment, the electronic device (201) can convert the sixth sensing data from time-band sensing data to frequency-band sensing data.

[0211] According to one embodiment, the electronic device (201) can obtain a power spectral density for the sensing data of the fifth frequency band converted based on the fifth sensing data. According to one embodiment, the electronic device (201) can obtain a power spectral density for the sensing data of the sixth frequency band converted based on the sixth sensing data.

[0212] According to one embodiment, the electronic device (201) can confirm that among the PSD values ​​for the sensed data of the converted fifth frequency band, there is a PSD value greater than a first specified value in a specific frequency band. According to one embodiment, the electronic device (201) can confirm that among the PSD values ​​for the sensed data of the converted sixth frequency band, there is no PSD value greater than a first specified value in a specific frequency band.

[0213] Alternatively, the electronic device (201) may verify that there is no PSD value greater than a first specified value in a specific frequency band among the PSD values ​​for the sensed data of the converted fifth frequency band. According to one embodiment, the electronic device (201) may verify that there is no PSD value greater than a first specified value in a specific frequency band among the PSD values ​​for the sensed data of the converted sixth frequency band.

[0214] According to one embodiment, the electronic device (201) may determine that a symptom related to Parkinson's disease has occurred in the index finger of the right hand based on confirming that a PSD value greater than a first specified value in a specific frequency band among the PSD values ​​for the sensed data of the converted fifth frequency band is present. According to one embodiment, the electronic device (201) may determine that a symptom related to Parkinson's disease has not occurred in the index finger of the left hand based on confirming that no PSD value greater than a first specified value in a specific frequency band among the PSD values ​​for the sensed data of the converted sixth frequency band is present. For example, the electronic device (201) may determine that a peel-rolling symptom and / or a tremor symptom related to Parkinson's disease has occurred in the index finger of the right hand. For example, the electronic device (201) may determine that a peel-rolling symptom and a tremor symptom have not occurred in the thumb of the left hand.

[0215] According to one embodiment, the electronic device (201) may determine that a symptom related to Parkinson's disease has occurred in the thumb of the left hand based on confirming that a PSD value greater than a first specified value in a specific frequency band among the PSD values ​​for the sensed data of the converted sixth frequency band is present. According to one embodiment, the electronic device (201) may determine that a symptom related to Parkinson's disease has not occurred in the index finger of the right hand based on confirming that no PSD value greater than a first specified value in a specific frequency band among the PSD values ​​for the sensed data of the converted fifth frequency band is present. For example, the electronic device (201) may determine that a peel-rolling symptom and / or a tremor symptom related to Parkinson's disease has occurred in the thumb of the left hand. For example, the electronic device (201) may determine that a peel-rolling symptom and a tremor symptom have not occurred in the index finger of the right hand.

[0216] In one embodiment, since the second wearable electronic device (402) is worn on the index finger of the right hand and the third wearable electronic device (403) is worn on the index finger of the left hand, the electronic device (201) can accurately determine symptoms associated with Parkinson's disease even when symptoms associated with Parkinson's disease occur in only one of the two hands.

[0217] The drawing illustrated in FIG. 12 is an example, and the second wearable electronic device (402) can be worn on the index finger of the left hand, and the third wearable electronic device (403) can be worn on the index finger of the right hand. In addition, the fingers on which the second wearable electronic device (402) and the third wearable electronic device (403) are worn may not be limited to the index finger.

[0218] FIG. 13 is a drawing for explaining an operation of a first wearable electronic device according to one embodiment to check a user's stable state.

[0219] Referring to (a) of FIG. 13, according to one embodiment, the first wearable electronic device (301) may display guide information (1310) (e.g., “Would you like to check symptoms related to Parkinson’s disease?”) that allows the user to check whether symptoms related to Parkinson’s disease occur in the first body part and the second body part of the user. For example, the first body part may include a body part worn by the first wearable electronic device (301). For example, the second body part may include a body part worn by the second wearable electronic device (402) or the third wearable electronic device (403).

[0220] Referring to (b) of FIG. 13, according to one embodiment, when an input of an object (e.g.) is confirmed, the first wearable electronic device (301) may display guide information (1320) (e.g., “Put both arms down on the desk and maintain a stable state for 1 minute”) to enable the user to maintain a stable state for a specified period of time.

[0221] According to one embodiment, the first wearable electronic device (301) may acquire acceleration data using the first sensor (311) (e.g., the first sensor (311)) and heart rate data using the second sensor (312) (e.g., the second sensor (312)) for a specified period of time (e.g., 1 minute) based on displaying guide information (1320).

[0222] According to one embodiment, the first wearable electronic device (301) can determine whether the user's condition is stable based on acceleration data and heart rate data.

[0223] FIG. 14 is a diagram showing an electronic device according to one embodiment of the present invention displaying information for guiding a wearing position of a first wearable electronic device and a wearing position of a second wearable electronic device.

[0224] Referring to FIG. 14, according to one embodiment, an electronic device (201) (e.g., the electronic device (201) of FIG. 2) may display guide information (1410) guiding the wearing position of a first wearable electronic device (301) (e.g., the first wearable electronic device (301) of FIG. 2) and the wearing position of a second wearable electronic device (402) (e.g., the second wearable electronic device (402) of FIG. 2) on a display (e.g., the display module (160) of FIG. 1).

[0225] According to one embodiment, the guide information (1410) may include information to wear the first wearable electronic device (301) on the wrist of the user's left hand and the second wearable electronic device (402) on the index finger of the user's left hand.

[0226] According to one embodiment, the electronic device (201) may output the guide information (1410) by auditory means. According to one embodiment, the electronic device (201) may transmit the guide information (1410) to the first wearable electronic device (301) and the second wearable electronic device (402). According to one embodiment, the first wearable electronic device (301) and the second wearable electronic device (402) may output the guide information (1410).

[0227] FIG. 15 is a flowchart illustrating an operation of a first wearable electronic device according to one embodiment to identify symptoms related to Parkinson's disease.

[0228] Referring to FIG. 15, according to one embodiment, in operation 1511, the first wearable electronic device (301) (e.g., the first wearable electronic device (301) of FIG. 2) may check whether the user's state is stable. According to one embodiment, the first wearable electronic device (301) may display guide information that guides the wearing positions of the first wearable electronic device (301) and the second wearable electronic device (402) (e.g., the second wearable electronic device (402) of FIG. 2). According to one embodiment, the first wearable electronic device (301) may check that the first wearable electronic device is worn on the user's first body part and that the second wearable electronic device (402) is worn on the user's second body part. According to one embodiment, the first wearable electronic device (301) can obtain acceleration data through the first sensor (311) (e.g., the first sensor (311) of FIG. 2) based on confirming that the first wearable electronic device (301) and the second wearable electronic device (402) are worn. According to one embodiment, the first wearable electronic device (301) can obtain heart rate data through the second sensor (312) (e.g., the second sensor (312) of FIG. 2). According to one embodiment, the first wearable electronic device (301) can determine whether the user's condition is stable based on the acceleration data and the heart rate data.

[0229] According to one embodiment, in operation 1513, the first wearable electronic device (301) may acquire first sensing data indicating movement of a first body part through the first sensor (311) based on determining that the user's state is stable. For example, the first sensing data may include acceleration data.

[0230] According to one embodiment, in operation 1515, the first wearable electronic device (301) may obtain second sensing data representing movement of a second body part from the second wearable electronic device (402) via the communication circuit (390) (e.g., the communication circuit (390) of FIG. 2). For example, the second sensing data may include acceleration data.

[0231] According to one embodiment, in operation 1517, the first wearable electronic device (301) may identify a symptom related to Parkinson's disease. According to one embodiment, if a first sensing value greater than a first designated value in a specific frequency band among the first sensing data is identified, the first wearable electronic device (301) may determine that the first symptom related to Parkinson's disease has occurred in the first body part. According to one embodiment, if a second sensing value greater than the first designated value in the specific frequency band among the second sensing data is identified, the second wearable electronic device (402) may determine that the second symptom related to Parkinson's disease has occurred in the second body part.

[0232] According to one embodiment, the operations of the electronic device (201) described in FIGS. 1 to 14 may be equally applied to the first wearable electronic device (301).

[0233] According to one embodiment, an electronic device may include a memory, a communication circuit, and a processor.

[0234] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to determine whether the user's state is stable using a first wearable electronic device (301) worn on a first body part of the user.

[0235] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to obtain, using the communication circuit, first sensing data representing movement of the first body part from the first wearable electronic device based on determining that the state of the user is the stable state.

[0236] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to, based on determining that the state of the user is the stable state, obtain second sensing data representing movement of the second body part from a second wearable electronic device worn on the second body part of the user using the communication circuit.

[0237] According to one embodiment, the memory, when executed by the processor, causes the electronic device to identify symptoms associated with Parkinson's disease of the user based on at least one of the first sensing data or the second sensing data.

[0238] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to obtain third sensing data representing movement of the first body part from the first wearable electronic device using the communication circuit.

[0239] According to one embodiment, the memory, when executed by the processor, causes the electronic device to obtain fourth sensing data representing biometric information of the user from the first wearable electronic device using the communication circuit.

[0240] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to determine whether the state of the user is the stable state based on the third sensing data and the fourth sensing data.

[0241] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to determine that the state of the user is the stable state if the third sensing data is determined to be less than a specified acceleration value and the fourth sensing data is determined to be less than a specified heart rate value.

[0242] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to acquire gait data of the user from the first wearable electronic device or the second wearable electronic device based on acquiring the first sensing data and the second sensing data.

[0243] In one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to further consider the gait data to identify the symptom associated with Parkinson's disease.

[0244] According to one embodiment, the gait data may include at least one of data related to the user's walking speed or data related to the user's stride.

[0245] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to determine, based on the first sensing data, whether a first symptom associated with Parkinson's disease corresponding to the first body part is identified in the first body part.

[0246] In one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to determine, based on the second sensing data, whether a second symptom associated with Parkinson's disease corresponding to the second body part is identified in the second body part.

[0247] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to determine that the first symptom is detected in the first body part when a first sensing value greater than a first designated value in a specific frequency band among the first sensing data is detected.

[0248] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to determine that the second symptom is detected in the second body part when a second sensing value greater than the first designated value is detected in the specific frequency band among the second sensing data.

[0249] In one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to determine that a tremor symptom associated with Parkinson's disease is detected in the first body part and that a pill rolling symptom associated with Parkinson's disease is detected in the second body part when the first wearable electronic device is worn on a wrist portion of the first hand of the user and the second wearable electronic device is worn on any one of the fingers of the first hand.

[0250] In one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to determine that a symptom of progression associated with Parkinson's disease is detected in the first body part and the second body part when the first wearable electronic device is worn on a wrist portion of the first hand of the user and the second wearable electronic device is worn on one of the fingers of the second hand.

[0251] According to one embodiment, a method of operating an electronic device may include an operation of checking whether a state of a user is stable by using a first wearable electronic device worn on a first body part of the user.

[0252] According to one embodiment, a method of operating an electronic device may include an operation of obtaining first sensing data representing movement of a first body part from the first wearable electronic device based on determining that the state of the user is the stable state.

[0253] According to one embodiment, a method of operating an electronic device may include an operation of obtaining second sensing data representing movement of a second body part of the user from a second wearable electronic device worn on a second body part of the user based on determining that the state of the user is the stable state.

[0254] According to one embodiment, a method of operating an electronic device may include an operation of identifying a symptom related to Parkinson's disease of the user based on at least one of the first sensing data or the second sensing data.

[0255] According to one embodiment, a method of operating an electronic device may include an operation of obtaining third sensing data representing movement of the first body part from the first wearable electronic device.

[0256] According to one embodiment, a method of operating an electronic device may include an operation of obtaining fourth sensing data representing biometric information of the user from the first wearable electronic device.

[0257] According to one embodiment, the method of operating an electronic device may include an operation of confirming that the state of the user is the stable state based on the third sensing data and the fourth sensing data.

[0258] According to one embodiment, in a method of operating an electronic device, if it is determined that the third sensing data is less than a specified acceleration value and the fourth sensing data is less than a specified heart rate value, an operation of determining that the state of the user is the stable state may be included.

[0259] According to one embodiment, a method of operating an electronic device may include an operation of acquiring gait data of the user from the first wearable electronic device or the second wearable electronic device based on acquiring the first sensing data and the second sensing data.

[0260] According to one embodiment, the method of operating an electronic device may include an operation of identifying the symptom related to Parkinson's disease by further considering the gait data.

[0261] According to one embodiment, a method of operating an electronic device may include an operation of determining whether a first symptom related to Parkinson's disease corresponding to the first body part is confirmed in the first body part based on the first sensing data.

[0262] According to one embodiment, a method of operating an electronic device may include an operation of determining whether a second symptom related to Parkinson's disease corresponding to the second body part is confirmed in the second body part based on the second sensing data.

[0263] According to one embodiment, in a method of operating an electronic device, when a first sensing value greater than a first designated value in a specific frequency band among the first sensing data is identified, an operation of determining that the first symptom is identified in the first body part may be included.

[0264] According to one embodiment, in the operating method of the electronic device, when a second sensing value greater than the first designated value is confirmed in the specific frequency band among the second sensing data, the method may include an operation of determining that the second symptom is confirmed in the second body part.

[0265] According to one embodiment, in a method of operating an electronic device, when the first wearable electronic device is worn on a wrist portion of the first hand of the user and the second wearable electronic device is worn on any one of the fingers of the first hand, the method may include an operation of determining that a tremor symptom related to Parkinson's disease is confirmed in the first body portion and determining that a pill rolling symptom related to Parkinson's disease is confirmed in the second body portion.

[0266] According to one embodiment, in a method of operating an electronic device, when the first wearable electronic device is worn on a wrist portion of the first hand of the user and the second wearable electronic device is worn on any one of the fingers of the second hand, the method may include an operation of determining that a symptom of progression related to Parkinson's disease is confirmed in the first body part and the second body part.

[0267] According to one embodiment, a storage medium storing at least one computer-readable instruction, wherein the at least one instruction, when executed by a processor of an electronic device, causes the electronic device to perform an operation of determining whether a state of the user is stable using a first wearable electronic device worn on a first body part of the user.

[0268] According to one embodiment, a storage medium storing at least one computer-readable instruction, wherein the at least one instruction, when executed by a processor of an electronic device, causes the electronic device to perform an operation of obtaining first sensing data representing movement of the first body part from the first wearable electronic device based on determining that the state of the user is the stable state.

[0269] According to one embodiment, a storage medium storing at least one computer-readable instruction, wherein the at least one instruction, when executed by a processor of an electronic device, causes the electronic device to perform an operation of obtaining second sensing data representing movement of a second body part of the user from a second wearable electronic device worn on the second body part of the user based on determining that the state of the user is the stable state.

[0270] According to one embodiment, a storage medium storing at least one computer-readable instruction, wherein the at least one instruction, when executed by a processor of an electronic device, causes the electronic device to perform an operation of identifying a symptom associated with Parkinson's disease of the user based on at least one of the first sensing data or the second sensing data.

[0271] According to one embodiment, a storage medium storing at least one computer-readable instruction, wherein the at least one instruction, when executed by a processor of an electronic device, causes the electronic device to perform an operation of obtaining third sensing data indicative of movement of the first body part from the first wearable electronic device.

[0272] According to one embodiment, a storage medium storing at least one computer-readable instruction, wherein the at least one instruction, when executed by a processor of an electronic device, causes the electronic device to perform an operation of obtaining fourth sensing data representing biometric information of the user from the first wearable electronic device.

[0273] According to one embodiment, a storage medium storing at least one computer-readable instruction, wherein the at least one instruction, when executed by a processor of an electronic device, causes the electronic device to perform an operation of determining that the state of the user is the stable state based on the third sensing data and the fourth sensing data.

[0274] According to one embodiment, a storage medium storing at least one computer-readable instruction, wherein the at least one instruction, when executed by a processor of an electronic device, causes the electronic device to perform an operation of determining that the state of the user is the stable state when the third sensing data is determined to be less than a specified acceleration value and the fourth sensing data is determined to be less than a specified heart rate value.

[0275] According to one embodiment, a storage medium storing at least one computer-readable instruction, wherein the at least one instruction, when executed by a processor of an electronic device, causes the electronic device to perform an operation of acquiring gait data of the user from the first wearable electronic device or the second wearable electronic device based on acquiring the first sensing data and the second sensing data.

[0276] According to one embodiment, a storage medium storing at least one computer-readable instruction, wherein the at least one instruction, when executed by a processor of an electronic device, causes the electronic device to perform an operation of identifying the symptom associated with Parkinson's disease by further considering the gait data.

[0277] According to one embodiment, a storage medium storing at least one computer-readable instruction, wherein the at least one instruction, when executed by a processor of an electronic device, causes the electronic device to perform an operation of determining, based on the first sensing data, whether a first symptom associated with Parkinson's disease corresponding to the first body part is identified in the first body part.

[0278] According to one embodiment, a storage medium storing at least one computer-readable instruction, wherein the at least one instruction, when executed by a processor of an electronic device, causes the electronic device to perform an operation of determining, based on the second sensing data, whether a second symptom associated with Parkinson's disease corresponding to the second body part is identified in the second body part.

[0279] According to one embodiment, a storage medium storing at least one computer-readable instruction, wherein the at least one instruction, when executed by a processor of an electronic device, causes the electronic device to perform an operation of determining that the first symptom is detected in the first body part when a first sensing value greater than a first designated value in a specific frequency band among the first sensing data is detected.

[0280] According to one embodiment, a storage medium storing at least one computer-readable instruction, wherein the at least one instruction, when executed by a processor of an electronic device, causes the electronic device to perform an operation of determining that the second symptom is detected in the second body part when a second sensing value greater than the first designated value in the specific frequency band among the second sensing data is detected.

[0281] According to one embodiment, a storage medium storing at least one computer-readable instruction, wherein the at least one instruction, when executed by a processor of an electronic device, causes the electronic device to perform an operation of determining that a tremor symptom associated with Parkinson's disease is detected in the first body part and determining that a pill rolling symptom associated with Parkinson's disease is detected in the second body part, when the first wearable electronic device is worn on a wrist portion of a first hand of the user and the second wearable electronic device is worn on any one of the fingers of the first hand.

[0282] According to one embodiment, a storage medium storing at least one computer-readable instruction, wherein the at least one instruction, when executed by a processor of an electronic device, causes the electronic device to perform an operation of determining that a symptom of progression associated with Parkinson's disease is confirmed in the first body part and the second body part when the first wearable electronic device is worn on a wrist portion of a first hand of the user and the second wearable electronic device is worn on any one of fingers of the second hand.

[0283] According to one embodiment, a first wearable electronic device may include a memory, a first sensor, a second sensor, a communication circuit, and a processor.

[0284] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the first wearable electronic device to determine whether a state of a user wearing the first wearable electronic device is stable based on data sensed by at least one of the first sensor or the second sensor.

[0285] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the first wearable electronic device to obtain, through the first sensor, first sensing data representing movement of a first body part of the user worn by the first wearable electronic device based on determining that the state of the user is the stable state.

[0286] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the first wearable electronic device to obtain, through the communication circuit, second sensing data representing movement of a second body part of the user from a second wearable electronic device worn on the second body part.

[0287] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the first wearable electronic device to identify a symptom associated with Parkinson's disease of the user based on at least one of the first sensing data or the second sensing data.

[0288] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the first wearable electronic device to determine that the first symptom associated with Parkinson's disease is detected in the first body part when a first sensing value greater than a first designated value in a specific frequency band among the first sensing data is detected.

[0289] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the first wearable electronic device to determine that a second symptom associated with Parkinson's disease is detected in the second body part when a second sensing value greater than the first designated value is detected in the specific frequency band among the second sensing data.

[0290] According to one embodiment, a method of operating a first wearable electronic device may include an operation of determining whether a state of a user wearing the first wearable electronic device is stable based on data sensed by at least one of a first sensor and a second sensor.

[0291] According to one embodiment, a method of operating a first wearable electronic device may include an operation of obtaining first sensing data representing a movement of a first body part of the user wearing the first wearable electronic device through the first sensor based on determining that the state of the user is the stable state.

[0292] According to one embodiment, a method of operating a first wearable electronic device may include an operation of obtaining second sensing data representing movement of a second body part of a user from a second wearable electronic device worn on the second body part of the user.

[0293] According to one embodiment, a method of operating a first wearable electronic device may include an operation of identifying a symptom related to Parkinson's disease of the user based on at least one of the first sensing data or the second sensing data.

[0294] According to one embodiment, in a method of operating a first wearable electronic device, when a first sensing value greater than a first designated value in a specific frequency band among the first sensing data is confirmed, an operation of determining that the first symptom related to Parkinson's disease is confirmed in the first body part may be included.

[0295] According to one embodiment, in a method of operating a first wearable electronic device, when a second sensing value greater than the first designated value is identified in the specific frequency band among the second sensing data, an operation of determining that a second symptom related to Parkinson's disease is identified in the second body part may be included.

[0296] According to one embodiment, a storage medium storing at least one computer-readable instruction, wherein the at least one instruction, when executed by a processor of a first wearable electronic device, causes the first wearable electronic device to perform an operation of determining whether a state of a user wearing the first wearable electronic device is stable based on data sensed by at least one of a first sensor and a second sensor.

[0297] According to one embodiment, a storage medium storing at least one computer-readable instruction, wherein the at least one instruction, when executed by a processor of a first wearable electronic device, causes the first wearable electronic device to perform an operation of acquiring, through the first sensor, first sensing data representing a movement of a first body part of the user on which the first wearable electronic device is worn, based on determining that the state of the user is the stable state.

[0298] According to one embodiment, a storage medium storing at least one computer-readable instruction, wherein the at least one instruction, when executed by a processor of a first wearable electronic device, causes the first wearable electronic device to perform an operation of obtaining second sensing data representing movement of a second body part of the user from a second wearable electronic device worn on the second body part of the user.

[0299] According to one embodiment, a storage medium storing at least one computer-readable instruction, wherein the at least one instruction, when executed by a processor of a first wearable electronic device, causes the first wearable electronic device to perform an operation of identifying a symptom associated with Parkinson's disease of the user based on at least one of the first sensing data or the second sensing data.

[0300] According to one embodiment, a storage medium storing at least one computer-readable instruction, wherein the at least one instruction, when executed by a processor of a first wearable electronic device, causes the first wearable electronic device to perform an operation of determining that the first symptom associated with Parkinson's disease is confirmed in the first body part when a first sensing value greater than a first designated value in a specific frequency band among the first sensing data is confirmed.

[0301] According to one embodiment, a storage medium storing at least one computer-readable instruction, wherein the at least one instruction, when executed by a processor of a first wearable electronic device, causes the first wearable electronic device to perform an operation of determining that a second symptom associated with Parkinson's disease is detected in the second body part when a second sensing value greater than the first designated value in the specific frequency band among the second sensing data is detected.

[0302] Electronic devices according to the various embodiments disclosed in this document may take various forms. Electronic devices may include, for example, portable communication devices (e.g., smartphones), computer devices, portable multimedia devices, portable medical devices, cameras, wearable devices, or home appliances. Electronic devices according to the embodiments disclosed in this document are not limited to the aforementioned devices.

[0303] The various embodiments of this document and the terminology used therein are not intended to limit the technical features described in this document to specific embodiments, but should be understood to include various modifications, equivalents, or substitutes of the embodiments. In connection with the description of the drawings, similar reference numerals may be used for similar or related components. The singular form of a noun corresponding to an item may include one or more of the items, unless the context clearly indicates otherwise. In this document, each of the phrases "A or B", "at least one of A and B", "at least one of A or B", "A, B, or C", "at least one of A, B, and C", and "at least one of A, B, or C" can include any one of the items listed together in the corresponding phrase among those phrases, or all possible combinations thereof. Terms such as "first," "second," or "first" or "second" may be used merely to distinguish one component from another, and do not limit the components in any other respect (e.g., importance or order). When a component (e.g., a first component) is referred to as "coupled" or "connected" to another component (e.g., a second component), with or without the terms "functionally" or "communicatively," it means that the component can be connected to the other component directly (e.g., wired), wirelessly, or through a third component.

[0304] The term "module" used in various embodiments of this document may include a unit implemented in hardware, software, or firmware, and may be used interchangeably with terms such as logic, logic block, component, or circuit. A module may be an integral component, or a minimum unit or part of such a component that performs one or more functions. For example, according to one embodiment, a module may be implemented in the form of an application-specific integrated circuit (ASIC).

[0305] Various embodiments of the present document may be implemented as software (e.g., program (140)) including one or more instructions stored in a storage medium (e.g., built-in memory (136) or external memory (138)) readable by a machine (e.g., electronic device (101, 201, 301)). For example, a processor (e.g., processor (120, 220, 320, 420, 421)) of a machine (e.g., electronic device (101, 201, 301, 402, 403)) may call at least one instruction among the one or more instructions stored from the storage medium and execute it. This enables the machine to operate to perform at least one function according to the called at least one instruction. The one or more instructions may include code generated by a compiler or code executable by an interpreter. The machine-readable storage medium may be non-transitory. It may be provided in the form of a storage medium. Here, "non-transitory" simply means that the storage medium is a tangible device and does not contain signals (e.g., electromagnetic waves). This term does not distinguish between cases where data is stored semi-permanently or temporarily on the storage medium.

[0306] According to one embodiment, the method according to various embodiments disclosed in the present document may be provided as included in a computer program product. The computer program product may be traded as a product between a seller and a buyer. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., compact disc read-only memory (CD-ROM)), or may be distributed online (e.g., downloaded or uploaded) through an application store (e.g., Play Store™) or directly between two user devices (e.g., smart phones). In the case of online distribution, at least a portion of the computer program product may be temporarily stored or temporarily generated in a machine-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or an intermediary server.

[0307] According to various embodiments, each component (e.g., a module or a program) of the above-described components may include one or more entities, and some of the entities may be separated and placed in other components. According to various embodiments, one or more components or operations of the aforementioned components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (e.g., a module or a program) may be integrated into a single component. In such a case, the integrated component may perform one or more functions of each of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to the integration. According to various embodiments, the operations performed by a module, program, or other component may be executed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be executed in a different order, omitted, or one or more other operations may be added.

Claims

1. In an electronic device (201 of Fig. 2), Memory for storing instructions (210 in Fig. 2); Communication circuit (290 in Fig. 2); and Contains a processor (220 in FIG. 2), The above instructions, when executed by the processor, cause the electronic device to: Using a first wearable electronic device (401 in FIG. 2) worn on a first body part of the user, it is checked whether the user's condition is stable, Based on the confirmation that the state of the user is the stable state, first sensing data indicating movement of the first body part is obtained from the first wearable electronic device using the communication circuit, and second sensing data indicating movement of the second body part is obtained from a second wearable electronic device (402 in FIG. 2) worn on the second body part of the user. An electronic device that causes a symptom associated with Parkinson's disease of the user to be identified based on at least one of the first sensing data or the second sensing data.

2. In paragraph 1, The above instructions, when executed by the processor, cause the electronic device to: Using the above communication circuit, third sensing data representing movement of the first body part is obtained from the first wearable electronic device, Using the above communication circuit, fourth sensing data representing the user's biometric information is obtained from the first wearable electronic device, An electronic device that causes the user to determine whether the state of the user is the stable state based on the third sensing data and the fourth sensing data.

3. In any one of paragraphs 1 and 2, The above instructions, when executed by the processor, cause the electronic device to: An electronic device that causes the user's state to be determined to be the stable state when the third sensing data is determined to be less than a specified acceleration value and the fourth sensing data is determined to be less than a specified heart rate value.

4. In any one of paragraphs 1 to 3, The above instructions, when executed by the processor, cause the electronic device to: Based on obtaining the first sensing data and the second sensing data, the user's walking data is obtained from the first wearable electronic device or the second wearable electronic device, An electronic device that causes said symptoms associated with said Parkinson's disease to be identified by further considering said gait data.

5. In any one of paragraphs 1 to 4, The above walking data is, An electronic device comprising at least one of data related to a walking speed of the user and data related to a stride of the user.

6. In any one of paragraphs 1 to 5, The above instructions, when executed by the processor, cause the electronic device to: Based on the first sensing data, it is determined whether the first symptom related to Parkinson's disease corresponding to the first body part is confirmed in the first body part, An electronic device that causes a determination to be made based on the second sensing data whether a second symptom related to Parkinson's disease corresponding to the second body part is confirmed in the second body part.

7. In any one of paragraphs 1 to 6, The above instructions, when executed by the processor, cause the electronic device to: If a first sensing value greater than a first designated value is confirmed in a specific frequency band among the first sensing data, it is determined that the first symptom is confirmed in the first body part, An electronic device that causes a determination that the second symptom is detected in the second body part when a second sensing value greater than the first designated value is detected in the specific frequency band among the second sensing data.

8. In any one of paragraphs 1 to 7, The above instructions, when executed by the processor, cause the electronic device to: An electronic device that causes a user to determine that a symptom of Parkinson's disease progression is detected in the first body part and to determine that a symptom of Parkinson's disease pill rolling is detected in the second body part, when the first wearable electronic device is worn on a wrist portion of the user's first hand and the second wearable electronic device is worn on one of the fingers of the first hand.

9. In any one of paragraphs 1 to 8, The above instructions, when executed by the processor, cause the electronic device to: An electronic device that causes a determination that a symptom of progression associated with Parkinson's disease is confirmed in the first body part and the second body part, when the first wearable electronic device is worn on a wrist portion of the first hand of the user and the second wearable electronic device is worn on one of the fingers of the second hand.

10. In the operating method of an electronic device (201 of Fig. 2), An operation of checking whether the user's condition is stable by using a first wearable electronic device (401 in FIG. 2) worn on the user's first body part; An operation of obtaining first sensing data indicating movement of the first body part from the first wearable electronic device and obtaining second sensing data indicating movement of the second body part from a second wearable electronic device (402 in FIG. 2) worn on the second body part of the user based on confirming that the state of the user is the stable state; and A method of operating an electronic device, comprising an action of identifying a symptom associated with Parkinson's disease of the user based on at least one of the first sensing data or the second sensing data.

11. In paragraph 10, At least part of the actions of determining whether the state of the above user is stable, An action of obtaining third sensing data representing movement of the first body part from the first wearable electronic device; An operation of obtaining fourth sensing data representing biometric information of the user from the first wearable electronic device; and An operating method of an electronic device, including an operation of confirming that the state of the user is the stable state based on the third sensing data and the fourth sensing data.

12. In any one of paragraphs 10 to 11, An operating method of an electronic device further comprising an operation of determining that the state of the user is the stable state when the third sensing data is determined to be less than a specified acceleration value and the fourth sensing data is determined to be less than a specified heart rate value.

13. In any one of paragraphs 10 to 12, An operation of acquiring the user's walking data from the first wearable electronic device or the second wearable electronic device based on acquiring the first sensing data and the second sensing data; and A method of operating an electronic device further comprising an action of identifying said symptom associated with said Parkinson's disease by further considering said gait data.

14. In the wearable electronic device (301 of Fig. 2), Memory for storing instructions (310 in Fig. 2); First sensor (311 in Fig. 2); Second sensor (312 in Fig. 2); Communication circuit (390 in Fig. 2); and Contains a processor (320 in Fig. 2), The above instructions, when executed by the processor, cause the first wearable electronic device to: Based on data sensed by at least one of the first sensor or the second sensor, determining whether the state of the user wearing the first wearable electronic device is stable, Based on the confirmation that the state of the user is the stable state, first sensing data indicating movement of a first body part of the user worn by the first wearable electronic device is obtained through the first sensor, and second sensing data indicating movement of a second body part is obtained from a second wearable electronic device (402 of FIG. 2) worn on a second body part of the user through the communication circuit. A first wearable electronic device that causes a symptom associated with Parkinson's disease of the user to be identified based on at least one of the first sensing data or the second sensing data.

15. In paragraph 14, The above instructions, when executed by the processor, cause the first wearable electronic device to: If a first sensing value greater than a first designated value is confirmed in a specific frequency band among the first sensing data, it is determined that the first symptom related to Parkinson's disease is confirmed in the first body part, A first wearable electronic device that causes a determination that a second symptom related to Parkinson's disease is detected in the second body part when a second sensing value greater than the first designated value in the specific frequency band among the second sensing data is identified.

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