Sleep diagnosis system and operation method thereof

Abstract

This sleep diagnosis system may comprise: at least one patch including at least any one from among a heart patch, a head patch, and a muscle patch; a device for acquiring a user body signal from the at least one patch, the device controlling the at least one patch through an application operating on the basis of the sleep diagnosis system; and a cloud which receives the user body signal from the device, and which analyzes the user body signal so as to generate user sleep state monitoring information and sleep diagnosis information.

Description

Sleep diagnosis system and method of operation thereof

[0001] The present invention relates to a sleep diagnosis system and a method of operating the same. More specifically, the invention relates to a method for acquiring a signal monitored from a user through at least one patch attachable to the body and diagnosing the user's sleep state based thereon.

[0002]

[0003] Existing sleep diagnostic systems involved tests performed in a sleep room at a medical institution. Specifically, polysomnography (PSG), performed to evaluate sleep apnea and sleep disorders, could be conducted in a sleep room with approximately 30 electrode sensors attached. Consequently, there were inconveniences in conducting sleep diagnostic tests, and because the evaluation was performed in an environment different from the conventional one, test results could differ from normal sleep. Furthermore, results could vary depending on the condition or physical state of the patient, and there were limitations in that the test was performed within a single day at a medical institution. In other words, sleep diagnostic systems measured over a short period at a medical institution may have limitations in accurately diagnosing the user's sleep state. Considering the aforementioned points, the following describes a method for diagnosing the user's sleep state through at least one patch attached to the human body.

[0004]

[0005] This specification relates to a sleep diagnosis system and a method of operation thereof.

[0006] The present specification relates to a system for diagnosing a user's sleep state based on signals obtained through at least one patch, and a method of operation thereof.

[0007] This specification relates to a system for diagnosing a sleep state through signal analysis by acquiring each signal from patches that acquire different signals, and a method of operation thereof.

[0008] The present specification relates to a method for performing training of an artificial intelligence (AI) / machine learning (ML) learning model based on signals obtained from at least one patch, and diagnosing a user's sleep state based thereon.

[0009]

[0010] According to one embodiment of the present specification, a sleep diagnostic system comprises at least one patch including at least one of a heart patch, a head patch, and a muscle patch, and a device for acquiring a user body signal from at least one patch, wherein the device may include a cloud that controls at least one patch through an application operating based on the sleep diagnostic system, receives the user body signal from the device, and analyzes the user body signal to generate user sleep state monitoring information and sleep diagnostic information.

[0011] Additionally, according to one embodiment of the present specification, among at least one patch, a heart patch acquires ECG (electrocardiogram), SCG (seismocardiogram), and PCG (phonocardiogram) signals through at least one sensing electrode within an electrode patch attached to a first part of a user's body based on preset schedule information, and transmits the acquired ECG, SCG, and PCG signals to a device as user body signals, wherein the heart patch can acquire the user signal from the electrode patch comprising at least one sensing electrode that senses the ECG, SCG, and PCG signals.

[0012] Additionally, according to one embodiment of the present specification, among at least one patch, a head patch acquires EEG (Electroencephalography) and EOG (Electrooculography) signals through at least one sensing electrode within an electrode patch attached to a second part of a user's body based on preset schedule information, acquires oxygen saturation information through a PPG (Photoplethysmography) sensor, and transmits the acquired EEG and EOG signals and oxygen saturation information to a device as user body signals, wherein the head patch can acquire the user signal from the electrode patch including at least one sensing electrode that senses EEG and EOG signals.

[0013] Additionally, according to one embodiment of the present specification, a muscle patch among at least one patch senses and acquires an electromyography (EMG) signal through at least one sensing electrode in an electrode patch attached to a third part of a user's body based on preset schedule information, acquires user body movement information through a motion sensor, and transmits the acquired EMG signal and user body movement information to a device, wherein the muscle patch can acquire the user signal from the electrode patch including at least one sensing electrode that senses the EMG signal.

[0014] Additionally, according to one embodiment of the present specification, when at least one patch is attached to each location of a user's body and turned on based on a sleep diagnostic system, the device starts sensing and monitoring the user's sleep state in conjunction with at least one patch, and when sleep state sensing and monitoring is performed, the device acquires user body signals sensed from each of at least one patch based on a preset period, and acquires sleep-related information based on the user body signals acquired from each of at least one patch, wherein the sleep-related information may include at least one of sleep state entry time information, sleep release time information, user's sleep depth information, and user's sleep status information.

[0015] Additionally, according to one embodiment of the present specification, the device derives sleep result information based on sleep-related information, and the sleep result information is transmitted to a cloud to generate sleep state monitoring information and sleep diagnosis information, wherein the cloud includes a sleep diagnosis learning model, and the sleep result information is provided as input to the sleep diagnosis learning model, and the sleep state monitoring information and sleep diagnosis information can be derived as output through the inference of the sleep diagnosis learning model.

[0016] Additionally, according to one embodiment of the present specification, the sleep diagnosis system further acquires user-related information and generates sleep state monitoring information and sleep diagnosis information by reflecting the user-related information, wherein when the user-related information is reflected in the sleep diagnosis learning model, the weights of the sleep diagnosis learning model are changed based on the user-related information, and the sleep state monitoring information and sleep diagnosis information can be derived as output based on the changed weights of the sleep diagnosis learning model.

[0017] Additionally, according to one embodiment of the present specification, the device may display at least one of user body signal information, sleep-related information, sleep result information, sleep state monitoring information, and sleep diagnosis information.

[0018]

[0019] The present specification has the effect of providing a sleep diagnosis system and a method of operation thereof.

[0020] The present specification has the effect of providing a system that diagnoses a user's sleep state based on signals obtained through at least one patch.

[0021] The present specification has the effect of providing a system that diagnoses a sleep state through signal analysis by acquiring each signal from patches that acquire different signals.

[0022] The present specification may provide a method for diagnosing a user's sleep state based on training an AI / ML learning model based on signals obtained from at least one patch.

[0023] The problem to be solved by this specification is not limited to what is described above and can be extended to various matters that can be derived from the embodiments of the invention described below.

[0024]

[0025] FIG. 1 is a drawing illustrating an example of an operating environment of a system according to one embodiment of the present specification.

[0026] FIG. 2 is a block diagram for explaining the internal configuration of a computing device (200) in one embodiment of the present specification.

[0027] FIGS. 3a to 3c are drawings showing each patch according to an embodiment of the present specification.

[0028] FIGS. 4a to 4c are drawings showing the structure of each patch included in a sleep diagnosis system according to one embodiment of the present specification.

[0029] Figures 5a and 5c are diagrams showing how a patch is attached in a sleep diagnosis system.

[0030] FIG. 6 is a drawing showing a sleep diagnosis system according to one embodiment of the present specification.

[0031] FIG. 7 is a drawing showing a sleep diagnosis system according to one embodiment of the present specification.

[0032] FIG. 8 is a diagram illustrating a method for analyzing head-related signals based on machine learning according to one embodiment of the present specification.

[0033] FIGS. 9a and FIGS. 9b are drawings showing electrodes of a patch device according to one embodiment of the present specification.

[0034] FIGS. 10a and FIGS. 10b are drawings showing electrodes of a patch device according to one embodiment of the present specification.

[0035] FIGS. 11a and FIGS. 11b are drawings showing electrodes of a patch device according to one embodiment of the present specification.

[0036] FIGS. 12a and FIGS. 12b are drawings illustrating a method for manufacturing a flexible circuit board to which the present disclosure applies.

[0037] FIG. 13 may be a configuration related to a patch device body applicable to the present disclosure.

[0038] FIG. 14 is a drawing showing the structure of a patch device to which the present disclosure applies.

[0039] FIG. 15 is a drawing showing the structure of a patch device to which the present disclosure applies.

[0040]

[0041] In describing the embodiments of this specification, if it is determined that a detailed description of known configurations or functions could obscure the essence of the embodiments of this specification, such detailed description is omitted. Additionally, parts of the drawings unrelated to the description of the embodiments of this specification have been omitted, and similar parts are denoted by similar reference numerals.

[0042] In the embodiments of this specification, when a component is described as being "connected," "combined," or "joined" with another component, this may include not only a direct connection but also an indirect connection in which another component exists in between. Furthermore, when a component is described as "comprising" or "having" another component, this means that, unless specifically stated otherwise, it does not exclude the other component but may include additional components.

[0043] In the embodiments of this specification, terms such as first, second, etc. are used solely for the purpose of distinguishing one component from another component and do not limit the order or importance of the components unless specifically stated otherwise. Accordingly, within the scope of the embodiments of this specification, the first component in an embodiment may be referred to as the second component in another embodiment, and likewise, the second component in an embodiment may be referred to as the first component in another embodiment.

[0044] In the embodiments of this specification, distinct components are intended to clearly explain their respective features and do not imply that the components are necessarily separated. That is, multiple components may be integrated to form a single hardware or software unit, or a single component may be distributed to form multiple hardware or software units. Therefore, such integrated or distributed embodiments are included within the scope of the embodiments of this specification, even if not otherwise mentioned.

[0045] In this specification, the term "network" may encompass both wired and wireless networks. In this context, the network may refer to a communication network where data exchange between devices, systems, and devices can be performed, and is not limited to a specific network.

[0046] The embodiments described herein may have aspects that are entirely hardware, partially hardware and partially software, or entirely software. In this specification, terms such as “unit,” “device,” or “system” refer to computer-related entities, such as hardware, a combination of hardware and software, or software. For example, in this specification, a unit, module, device, or system, etc., may be, but are not limited to, a running process, processor, object, executable, thread of execution, program, and / or computer. For example, both an application running on a computer and the computer may correspond to a unit, module, device, or system, etc., in this specification.

[0047] Furthermore, in this specification, the term "device" may refer not only to mobile devices such as smartphones, tablet PCs, wearable devices, and Head Mounted Displays (HMDs), but also to fixed devices such as PCs or home appliances equipped with display functions. Additionally, as an example, the term "device" may refer to an in-vehicle cluster or an IoT (Internet of Things) device. In other words, in this specification, the term "device" may refer to any device capable of running an application and is not limited to a specific type. For convenience of explanation, the term "device" is used below to refer to a device on which an application runs.

[0048] In this specification, the communication method of the network is not limited, and connections between each component may not be connected using the same network method. The network may include not only communication methods utilizing communication networks (e.g., mobile communication networks, wired internet, wireless internet, broadcasting networks, satellite networks, etc.) but also short-range wireless communication between devices. For example, the network may include any communication method that allows objects to network with each other and is not limited to wired communication, wireless communication, 3G, 4G, 5G, or any other method. For example, wired and / or networks include Local Area Network (LAN), Metropolitan Area Network (MAN), Global System for Mobile Network (GSM), Enhanced Data GSM Environment (EDGE), High Speed ​​Downlink Packet Access (HSDPA), Wideband Code Division Multiple Access (W-CDMA), Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Bluetooth, Zigbee, Wi-Fi, VoIP (Voice over Internet Protocol), LTE Advanced, IEEE802.16m, WirelessMAN-Advanced, HSPA+, 3GPP Long Term Evolution (LTE), Mobile WiMAX (IEEE 802.16e), UMB (formerly EV-DO Rev. C), Flash-OFDM, iBurst and MBWA (IEEE 802.20) It may refer to a communication network based on one or more communication methods selected from the group consisting of systems, HIPERMAN, Beam-Division Multiple Access (BDMA), Wi-MAX (World Interoperability for Microwave Access) and ultrasonic communication, but is not limited thereto.

[0049] The components described in the various embodiments do not necessarily mean essential components, and some may be optional components. Accordingly, embodiments consisting of a subset of the components described in the embodiments are also included within the scope of the embodiments of this specification. Furthermore, embodiments including other components in addition to the components described in the various embodiments are also included within the scope of the embodiments of this specification.

[0050] Hereinafter, embodiments of the present specification will be examined in detail with reference to the drawings.

[0051] FIG. 1 is a diagram illustrating an example of an operating environment of a system according to an embodiment of the present specification. Referring to FIG. 1, one or more user devices (110-1, 110-2) and one or more servers (120, 130, 140) are connected through a network (1). FIG. 1 is an example for explaining the invention, and the number of user devices or servers is not limited to that shown in FIG. 1.

[0052] One or more user devices (110-1, 110-2) may be fixed terminals or mobile terminals implemented as computer systems. One or more user devices (110-1, 110-2) include, for example, smartphones, mobile phones, navigation systems, computers, laptops, digital broadcasting terminals, PDAs (Personal Digital Assistants), PMPs (Portable Multimedia Players), tablet PCs, game consoles, wearable devices, IoT (Internet of Things) devices, VR (Virtual Reality) devices, AR (Augmented Reality) devices, etc. For example, in the embodiments, the user device (110) may refer to one of various physical computer systems capable of communicating with other servers (120-140) via a network (1) using substantially wireless or wired communication methods.

[0053] Each server may be implemented as a computer device or multiple computer devices that communicate with one or more user devices (110-1, 110-2) via a network (1) to provide commands, code, files, content, services, etc. For example, the server may be a system that provides each service to one or more user devices (110-1, 110-2) connected via the network (1). As a more specific example, the server may be a computer program installed and running on one or more user devices (110-1, 110-2) and may provide the service intended by the application (e.g., providing information) to one or more user devices (110-1, 110-2) through an application. As another example, the server may distribute a file for the installation and operation of the above-described application to one or more user devices (110-1, 110-2) and receive user input information to provide a corresponding service.

[0054] FIG. 2 is a block diagram for explaining the internal configuration of a computing device (200) in an embodiment of the present specification. Such a computing device (200) may be applied to one or more user devices (110-1, 110-2) or servers (120-140) described above with reference to FIG. 1, and each device and server may have the same or similar internal configuration by adding or excluding some components.

[0055] Referring to FIG. 2, the computing device (200) may include memory (210), a processor (220), a communication module (230), and a transceiver (240). The memory (210) is a non-transient computer-readable recording medium and may include a permanent mass storage device such as RAM (random access memory), ROM (read only memory), a disk drive, an SSD (solid state drive), or a flash memory. Here, a permanent mass storage device such as a ROM, SSD, flash memory, or a disk drive may be included in the aforementioned device or server as a separate permanent storage device distinct from the memory (210). Additionally, the memory (210) may store an operating system and at least one program code (e.g., code for a browser installed and running on a user device (110), or code for an application installed on a user device (110), etc., to provide a specific service). These software components may be loaded from a computer-readable recording medium separate from memory (210). This separate computer-readable recording medium may include computer-readable recording media such as a floppy drive, disk, tape, DVD / CD-ROM drive, memory card, etc.

[0056] In another embodiment, software components may be loaded into memory (210) via a communication module (230) rather than a computer-readable recording medium. For example, at least one program may be loaded into memory (210) based on a computer program (e.g., the application described above) that is installed by files provided through a network (1) by developers or a file distribution system (e.g., the server described above) that distributes installation files for the application.

[0057] The processor (220) may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input / output operations. Instructions may be provided to the processor (220) by memory (210) or a communication module (230). For example, the processor (220) may be configured to execute instructions received according to program code stored in a recording device such as memory (210).

[0058] The communication module (230) can provide a function for the user device (110) and the server (120-140) to communicate with each other through the network (1), and each of the device (110) and / or the server (120-140) can provide a function for communicating with other electronic devices.

[0059] The transceiver (240) may be a means for interfacing with an external input / output device (not shown). For example, the external input device may include devices such as a keyboard, mouse, microphone, camera, etc., and the external output device may include devices such as a display, speaker, haptic feedback device, etc. As another example, the transceiver (240) may be a means for interfacing with a device in which the functions for input and output are integrated into one, such as a touchscreen.

[0060] Additionally, in other embodiments, the computing device (200) may include more components than those of FIG. 2 depending on the nature of the device to which it is applied. For example, when the computing device (200) is applied to a user device (110), it may be implemented to include at least some of the input / output devices described above, or it may include additional components such as a transceiver, a GPS (Global Positioning System) module, a camera, various sensors, a database, etc. As a more specific example, when the user device is a smartphone, it may be implemented to include additional components such as an accelerometer or gyroscope sensor, a camera module, various physical buttons, buttons using a touch panel, input / output ports, and a vibrator for vibration, which are generally included in smartphones.

[0061] For example, the sleep diagnosis system described below may operate through the computing device (200) of FIG. 2 based on the network of FIG. 1. More specifically, the sleep diagnosis system may include at least one of at least one patch attached to the user's body to acquire a signal, a device receiving the signal acquired from the at least one patch, and a cloud analyzing the signal transmitted from the device. The at least one patch, the device, and the cloud may be devices that operate based on the computing device (200) of FIG. 2, but are not limited to such embodiments. As a specific example, each of the at least one patch may be a low-power device that includes only a part of the configuration of the computing device (200) of FIG. 2, but is not limited thereto. Here, each device included within the sleep diagnosis system may exchange signals based on the network of FIG. 1, but is not limited to such embodiments. Also, as an example, the sleep diagnosis system may be composed of at least one patch and a device, and the cloud or server may be located externally. That is, the sleep diagnosis system may include various devices and is not limited to a specific form. For the sake of convenience of explanation, the following description assumes that the sleep diagnostic system includes at least one patch, device, and cloud, but is not limited thereto.

[0062] For example, a sleep diagnostic system may include at least one of a heart patch, a head patch, and a muscle patch. Additionally, the sleep diagnostic system may include other patches, but is not limited thereto. Here, the heart patch may be a patch that measures an ECG (Electrocardiogram) signal, the head patch may be a patch that measures an EEG (Electroencephalogram) signal, and the muscle patch may be a patch that measures an EMG (Electromyography) signal. The sleep diagnostic system may acquire signals from the body through at least one patch and analyze the acquired signals to perform monitoring of the user's sleep state and sleep diagnosis. Here, each patch (heart patch, head patch, muscle patch) may be equipped with an electrode patch attached to the body, and each patch (heart patch, head patch, muscle patch) may be positioned on the user's body in a form where the electrode patch is combined with a body part.

[0063] FIGS. 3a to 3c are drawings showing each patch according to an embodiment of the present specification.

[0064] For example, in FIGS. 3a to 3c, each patch can transmit a signal sensed by a user device (400). Here, the user device (400) may include at least one of a smartphone (410), a smart pad (420), a smart watch (430), a PC (440), and a laptop (450). The user device (400) may be a device that receives a signal sensed from each patch, and may be a device of various forms, not limited to the devices described above.

[0065] As a specific example, the user device (400) may be a smartphone (410) carried by the user, and each patch may transmit a signal sensed by the user's smartphone (410) in real time. Through the above, the user may be able to monitor the sensed signal in real time.

[0066] As another example, the user device (400) may be a PC (440). For example, each patch may be attached to the user's body and used at a medical facility (e.g., a sleep center) or at the user's home, and the sensed signal may be transmitted to the PC (440). That is, the aforementioned patches may also be used as a method for sensing the user's body at a pre-set location, and the PC (440) may be used as the user device for this purpose.

[0067] Here, for example, the software (or application, interface) in which each patch is monitored via a user's mobile device based on real-time monitoring and the software (or application, interface) running on a PC may differ, but are not limited to such embodiments. The following description is based on a user device (400) that is portable by the user, but this is for convenience of explanation only and is not limited to a specific form.

[0068] Referring to FIG. 3a, a heart patch (310) may be attached to a body surface where the heart of the user's body is located. The heart patch (310) may be attached to the body to obtain heart-related signals. Here, the heart-related signals obtained by the heart patch (310) may include at least one of an electrocardiogram (ECG), a seismocardiogram (SCG), and a phonocardiogram (PCG). The ECG may be an electrical signal related to heartbeats, the SCG may be a low-frequency vibration signal of the heart, and the PCG may be a heart sound wave. That is, the heart patch (310) may obtain at least one of electrical signals, vibration signals, and sound wave signals related to heartbeats. As an example, the heart patch (310) may be attached to the heart location on the front of the user's body to obtain heart-related signals. More specifically, the heart patch (310) may be connected to an electrode patch that is directly attached to the user's body, and the electrode patch may be attached to the user's body based on medical tape. The heart patch (310) can obtain at least one of an ECG (electrocardiogram), SCG (seismocardiogram), and PCG (phonocardiogram) sensed from an electrode patch attached to the body.

[0069] As another example, the heart patch (310) can be attached to the heart location on the back of the user's body (back portion) to obtain heart-related signals. As another example, multiple heart patches (310) can be attached to the human body. Specifically, the heart patches (310) can be attached to both the heart location on the front of the user's body and the heart location on the back of the user's body. Heart-related signals can be obtained from each of the multiple heart patches (310) and compared, and since heart-related signals are obtained based on the compared signals, the accuracy of heart-related signal measurement can be increased.

[0070] As another example, the heart patch (310) may acquire additional information related to the heart rate or the user's body. The heart patch (310) may acquire additional information regarding the user's body temperature or the moisture content of the skin. The user's body temperature or the moisture content of the skin may be information that can influence the acquisition of heart-related signals through the heart patch (310), and the heart patch (310) may acquire such information. As a specific example, in cases of low temperatures such as winter, the heart rate may slow down as the user's body temperature decreases, and the heart patch (310) may acquire additional information regarding body temperature, external temperature, and other factors. As another example, the heart patch (310) may acquire additional information regarding location, environment, and other factors. Specifically, the heart-related signal patterns of the user using the heart patch (310) may differ depending on whether the user is indoors or outdoors. Alternatively, heart-related signals may differ in the user's home, where the user feels mentally secure, compared to in an office space where the user performs work. Here, the heart patch (310) can measure the user's location information and transmit it to the user device. As another example, the heart patch (310) can obtain information about the user's surroundings as environmental information. For example, the environmental information may be information that affects the heartbeat, such as temperature, humidity, wind speed, and other information about the user's surroundings. That is, the heart patch (310) can obtain additional information related to the heartbeat, but is not limited thereto.

[0071] Afterward, the heart patch (310) can transmit the acquired signal described above to a user device (410, 420, 430). For example, the user device (410, 420, 430) is a device used by a user who has attached the heart patch (310), and may be a smartphone (410), a tablet (420), a smart watch (430), or other devices, and is not limited to a specific form. However, for convenience of explanation, the following description is based on a tablet (420) among the user devices, but it may not be limited thereto. Afterward, the user device (410, 420, 430) can perform monitoring based on the signal acquired from the heart patch (310). Additionally, the user device (410, 420, 430) can transmit the signal acquired from the heart patch (310) to a server. As another example, the user device may be a device that operates within a preset distance from the heart patch (310). As a specific example, the user device may be a smart watch (430). Here, the user device may obtain the aforementioned location information and environmental information within a preset distance from the heart patch (310), and is not limited to the embodiments described above. As an example, among the user devices, the smart watch (430) may measure the aforementioned location information and environmental information within a preset distance from the heart patch (310) and transmit it to another user device (e.g., tablet, 420). That is, the tablet (420) may obtain heart-related signals from the heart patch (310) and obtain additional user-related information through the smart watch (430), but is not limited to the embodiments described above.

[0072] Referring to FIG. 3b, the sleep diagnostic system may further include a head patch (320). The head patch (320) may be attached to the user's body at the position of the user's head (or forehead) to acquire brain waves and other related signals. The brain waves and other related signals acquired by the head patch (320) may include at least one of EEG (Electroencephalography), EOG (Electrooculography), and oxygen saturation. Additionally, the head patch (320) may further measure other signals, but may not be limited to such signals. Specifically, the head patch (320) may be connected to an electrode patch that is attached directly to the user's body, and the electrode patch may be attached to the user's body based on medical tape. The head patch (320) may acquire EEG signals sensed from the electrode patch attached to the body. EEG may be signals related to the electrical activity of the brain and may include signals of various frequency bands generated in the brain. Specifically, signals generated in the user's brain may vary depending on the user's activities or movements, and different signals may have different frequencies. For example, the EEG may include at least one of delta, theta, alpha, beta, and gamma signals. Additionally, the EEG may include other signals and is not limited to a specific form. The head patch (320) can measure the EEG generated in the user's brain in real time and utilize the measured signals. Additionally, the head patch (320) can measure EOG through the conduction of the eyeball. EOG is a technology that measures the electrical potential between the cornea and the retina and can measure eye movements. Specifically, EOG can measure eye movements based on the potential difference between the eye and its surroundings. Additionally, EOG can measure eye movements based on the electrical difference between the front and back of the eye. The head patch (320) can measure the EOG signals in real time and utilize the measured signals.Additionally, the head patch (320) can measure oxygen saturation. Oxygen saturation may be the oxygen concentration in the blood, and the head patch (320) can acquire an oxygen saturation signal. As a specific example, the head patch (320) may include a light source and a light sensor, and may acquire oxygen saturation information in the blood by measuring infrared and visible light through the light sensor, but is not limited to such an embodiment. The head patch (320) can measure oxygen saturation-related signals in real time and utilize the measured signals. The head patch (320) is attached to the forehead position on the front of the user's face to acquire the aforementioned EEG, EOG, and oxygen saturation signals. Additionally, the head patch (320) may acquire other signals and is not limited to a specific form.

[0073] The head patch (320) can be attached to the forehead position on the front of the user's face to obtain head-related signals. As another example, the head patch (320) can be configured in the form of a sleeping pad and attached to the eye position on the front of the user's face. As yet another example, the head patch (320) can be attached to the user's body in a form combined with a hat, a hair band, or other wearable device to obtain head-related signals, and is not limited to a specific form.

[0074] As another example, it may be possible to attach multiple head patches (320) to the body. It may also be possible to attach the head patches (320) to the front, back, and sides of the body, respectively. Head-related signals obtained from each of the multiple head patches (320) can be compared with one another, thereby increasing the accuracy of head-related signal measurement. However, it may not be limited to this form. For convenience of explanation, the following description is based on the form in which the head patch (320) is attached to the forehead position in front of the user, but it may not be limited to this.

[0075] Additionally, the head patch (320) can acquire additional information other than brainwave-related signals. For example, the head patch (320) can acquire additional information regarding the user's body temperature or the moisture content of the skin. The user's body temperature or the moisture content of the skin is information that can affect the head-related signals as interference signals when acquiring head-related signals through the head patch (320), so the head patch (320) can acquire additional such information to improve the accuracy of head-related signal measurement. As a specific example, correction for head-related signals may be necessary when the user's body temperature rises slightly, such as in midsummer, or when there is a lot of moisture on the surface due to sweat. The head patch (320) can improve the accuracy of head-related signal measurement by acquiring additional such information.

[0076] The head patch (320) can transmit the acquired signal described above to a user device (410, 420, 430). For example, the user device (410, 420, 430) is a device used by a user who has attached the head patch (320), and may be a smartphone (410), a tablet (420), a smart watch (430), or other devices, and is not limited to a specific form. However, for convenience of explanation, the following description is based on a tablet (420) among the user devices, but it may not be limited thereto. Afterward, the user device (410, 420, 430) can perform monitoring based on the signal acquired from the head patch (320). Additionally, the user device (410, 420, 430) can transmit the signal acquired from the head patch (320) to a server (or system). As another example, the user device may be a device that operates within a preset distance from the head patch (320). As a specific example, the user device may be a smart watch (430). Here, the user device may obtain user status information and other information within a preset distance from the head patch (320), and is not limited to the above-described embodiment. As an example, among the user devices, the smart watch (430) may provide user status information and other information to the head patch (320) within a preset distance from the head patch (320), but is not limited to such embodiment.

[0077] Referring to FIG. 3c, the muscle patch (330) may be a patch attached to the user's body to acquire EMG signals. The muscle patch (330) may sense EMG (Electromyography), and EMG may be an electrical signal generated by muscle activity. Specifically, the muscle patch (330) may detect electrical signals generated within muscle fibers by the contraction / relaxation of muscles and sense EMG signals, which are signals generated by the detected electrical signals. Muscles of the body may relax and contract upon receiving signals transmitted from the nervous system, and EMG signals may be generated by such signals. EMG signals may be measured through signals acquired via electrodes attached to the surface of the skin. Additionally, for example, the acquired EMG signals may be analyzed based on amplitude and frequency information, and through the analysis of such information, they may be utilized for monitoring the user's sleep state and diagnosing sleep.

[0078] For example, a muscle patch (330) may be attached to the arm of a user's body to obtain EMG signals obtained from the user's arm. Specifically, the muscle patch (330) may be connected to an electrode patch that is directly attached to the user's body, and the electrode patch may be attached to the user's body based on medical tape. The muscle patch (330) may obtain EMG signals sensed from the electrode patch attached to the body. Additionally, the muscle patch (330) attached to the arm of the user's body may sense the user's movement and obtain the sensed user movement information.

[0079] For example, the user's movement information may be information about the user moving while in a static state. Specifically, the user's movement information may be sleep pattern information regarding the degree to which the user tosses and turns or moves partially while sleeping. Here, the user's movement information may be information in the form of a pre-set cycle, a pre-set pattern, or information that is compared with already stored information, and may not be limited to a specific form. The muscle patch (330) can acquire various forms of the user's movement information and is not limited to a specific form. Additionally, the muscle patch (330) can acquire the user's heart rate, oxygen saturation, body temperature, blood pressure, and respiratory rate, and other information and is not limited to a specific form. As another example, the muscle patch (330) may be attached to the user's jaw. The muscle patch (330) may be attached to the user's jaw and acquire an EMG signal as an electrical signal based on the movement of the jaw. As a specific example, the muscle patch (330) included in the sleep diagnostic system may be attached to the user's jaw to measure the EMG signal. The muscle patch (330) can acquire signals regarding when the user moves their jaw or face while sleeping, and can perform sleep pattern or sleep analysis based on this. As another example, the muscle patch (330) may be attached to the user's jaw to acquire other types of signals, and is not limited to a specific form.

[0080] The muscle patch (330) can be attached to the user's arm to obtain patch-related signals related to the sleep diagnosis system. As another example, the muscle patch (330) can be attached to another part of the user's body to obtain patch-related signals. Additionally, as an example, the muscle patch (330) can sense the part of the user's body where it is attached and sense the patch-related signals described above based on the attached part. If the muscle patch (330) is attached to the left arm, the muscle patch (330) recognizes the user's left arm and can obtain patch-related signals by considering the user's body part. Additionally, if the muscle patch (330) is attached to the right arm, the muscle patch (330) recognizes the user's right arm and can obtain patch-related signals by considering the user's body part.

[0081] As another example, the muscle patch (330) may be simultaneously attached to multiple parts of the user's body. Specifically, depending on the sleep diagnostic system that includes the muscle patch (330), there is a need to acquire patch-related signals on multiple parts of the body, and considering the above-mentioned points, the muscle patch (330) may be attached to and used on multiple parts of the body. Here, the muscle patch (330) attached to multiple parts of the body or the aforementioned patches included in the sleep diagnostic system may be interconnected, and based on this, signals related to sleep state monitoring and sleep diagnosis may be acquired. As another example, the muscle patch (330) may acquire additional information other than patch-related signals. For example, the muscle patch (330) may acquire additional information regarding the user's body temperature or the moisture content of the skin. Since the user's body temperature or the moisture content of the skin is information that can affect the patch-related signals as interference signals when acquiring patch-related signals through the muscle patch (330), the muscle patch (330) can acquire such information to increase the accuracy of patch-related signal measurement.

[0082] Additionally, each of the patches in Figs. 3a to 3c may be a beacon device. Alternatively, each of the patches in Figs. 3a to 3c may be a low-power device other than a beacon. A beacon device may be a small device that transmits and receives data over short distances using short-range wireless communication technology, and may operate based on Bluetooth (Bluetooth Low Energy, BLE) technology. Each of the patches in Figs. 3a to 3c may be implemented as a beacon device and, based thereon, can transmit signals sensed from the user's body to the user device (400). As another example, each of the patches in Figs. 3a to 3c may be other low-power devices and may not be limited to a specific form.

[0083] Additionally, in the present disclosure, each patch (heart patch, head patch, muscle patch) being attached to the user's body may be a case where the electrode patch and medical tape are attached to the user's body, and the electrode patch is connected to each patch so that each patch is positioned on the user's body; for convenience of explanation, it is described below that each patch is attached to the user's body.

[0084] FIGS. 4a to 4c are drawings illustrating the structure of each patch included in a sleep diagnosis system. Referring to FIG. 4a, the heart patch (310) may include a silicon gel and a silicon elastomer. The silicon gel is a deformable material that allows the heart patch (310) to adhere to the shape of the human body surface and prevent it from detaching. The silicon elastomer may be a material with excellent elasticity, absorption, and tensile strength, which allows the heart patch (310) to remain attached to the human body. That is, the part attached to the human body surface may be composed of silicon gel and silicon elastomer, thereby allowing the heart patch (310) to remain attached to the human body. Additionally, electrodes and a wireless charging coil may be included inside the silicon gel and silicon elastomer. Here, the electrode may be an ECG electrode and may be a gold electrode composed of gold, but is not limited thereto and may be an electrode of another material. Additionally, the wireless charging coil may be a component that performs battery charging, and based on this, the heart patch (310) may be charged. Additionally, polyimide and copper trace may be included inside the silicone gel and silicone elastomer. Here, the polyimide may be a polymer material having thermal stability and high mechanical strength. As an example, the heart patch (310) may be composed in the form of polyimide. This allows the polyimide to deform together when the heart patch (310) is attached to the human body and the heart patch (310) stretches or bends, thereby allowing the heart patch (310) to remain attached to the human body without falling off.

[0085] Additionally, copper tracking can enable the heart patch (310) to track and transmit signals acquired through the high conductivity of copper. Furthermore, the heart patch (310) may further include components that acquire signals and transmit them to a user device, and a battery that enables the heart patch (310) to operate. Here, for example, the components may include configurations for acquiring ECG as an electrical signal, SCG as a low-frequency vibration signal, and PCG as an acoustic signal as described above, and are not limited to a specific form. Additionally, for example, the battery may serve to maintain power to transmit the signals acquired by the heart patch (310) to a user device. For example, the heart patch (310) may be a low-power device and may maintain power for a long period through the battery.

[0086] Referring to FIG. 4b, the head patch (320) in the sleep diagnostic system may include an electrode patch comprising at least one electrode (411-1, 411-2, 411-3, 411-4, 411-5, 411-6). The electrode patch comprising at least one electrode (411-1, 411-2, 411-3, 411-4, 411-5, 411-6) may be attached to the body and may perform sensing to acquire the aforementioned EEG and EOG signals. That is, each of the at least one sensing electrodes in the electrode patch may detect a change in an electrical signal, and when a change in an electrical signal is sensed, the corresponding sensing information may be transmitted to the connected electrode. Each of at least one electrode (411-1, 411-2, 411-3, 411-4, 411-5, 411-6) can acquire sensing information from at least one connected sensing electrode and transmit it to a process connected to the electrode patch, and based on this, EEG and EOG signals can be sensed. Additionally, the head patch (320) may further include a body portion. The body portion may be connected to an electrode patch comprising at least one electrode (411-1, 411-2, 411-3, 411-4, 411-5, 411-6). The body portion may be a component located outside the processor and other components to protect each component, and may not be limited to such a designation. For example, the head patch (320) may be made of a material of silicon gel and silicon elastomer and attached to the body so as not to be detached. Silicone elastomer may be a material with excellent elasticity, absorbency, and tensile strength. Here, the portion of the head patch (320) attached to the body surface based on a medical tape combined with an electrode patch may be composed of silicone gel and silicone elastomer, but is not limited thereto. As an example, the head patch (320) may be composed of a flexible material based on the above.As another example, the head patch (320) may be a functional plastic or other form. That is, the head patch (320) may not be limited to a specific material or form, and may be of various forms that sense signals from the user's body and operate smoothly.

[0087] For example, the top of the head patch (320) may include at least one of an electrode connector (411), an analog digital converter (ADC, 412), a processor (413), a voltage regulator (414), a voltage divider (415), LEDs for indicating device status (416), a reverse voltage protection diode (417), an ESD protection diode (418), a wireless battery charging module (419), a battery connecting pad (420), a switch (421), and a connector for firmware flashing (422).

[0088] For example, at least one electrode (411) may be included in the head patch (320). That is, an electrode patch including at least one electrode (411-1, 411-2, 411-3, 411-4, 411-5, 411-6) may be connected to the body portion of the head patch (320) and may be attached to the body through at least one sensing electrode within the electrode patch to measure head-related signals. In this disclosure, "head-related signals" may mean EEG, EOG, SpO₂, and other groups of signals. In addition, it may include signals that can be measured in relation to brain waves or brain function. In this disclosure, for convenience of explanation, it is referred to as head-related signals, but it may not be limited to such terms and may include various signals.

[0089] Additionally, as an example, the head patch (320) may further include a sensor (not shown) for measuring oxygen saturation. Specifically, the sensor for measuring oxygen saturation may include a light source and a light sensor, but may not be limited to a specific form. The head-related signal obtained through at least one electrode (411-1, 411-2, 411-3, 411-4, 411-5, 411-6) and the sensor may be converted into a digital signal through an ADC (412), and the converted digital signal may be controlled through a processor (413). As an example, the processor (413) may be a BLE microprocessor, but may not be limited thereto. A BLE (Bluetooth Low Energy) microprocessor may be a small microprocessor that supports low-power Bluetooth communication and may support wireless applications based on low power. For example, the head patch (320) may be a device that operates on a low-power basis, and the BLE microprocessor described above may be used, but is not limited thereto.

[0090] The processor (413) is configured such that the CPU, memory, RF transceiver, and various I / O devices are implemented on a single chip, and it can store digital signals modified by the ADC (412) and transmit them to an external device. Additionally, the head patch (320) may include a voltage regulator (414) to supply power to the processor (413) and other components. For example, the voltage regulator (414) may be composed of a first voltage regulator (414-1) and a second voltage regulator (414-2), each of which can be adjusted to a different voltage. For example, the first voltage regulator (414-1) may supply a voltage of 1.8V, and the second voltage regulator (414-2) may supply a voltage of 5V. However, this is merely one example and is not limited thereto. The voltage divider (415) may distribute the voltage supplied to the processor (413) and the voltage for monitoring the battery level, and the LED (416) may indicate the operating status of the head patch (320). For example, the LED (416) may remain in a turned-on state when the head patch (320) senses a signal, but is not limited to such an embodiment. Additionally, the reverse voltage protection diode (417) may be a diode that protects the circuit when a reverse voltage is applied due to the power supply being connected with the wrong polarity within the head patch (320), and the ESD protection diode (418) may be a diode that performs the function of protecting the head patch (320) from electrostatic discharge (ESD).

[0091] Additionally, the head patch (320) may include a wireless battery charging module (419), thereby enabling the head patch (320) to be charged wirelessly. Additionally, the head patch (320) may include a battery connection pad (420), thereby enabling wired charging. That is, the head patch (320) can be charged and operated by receiving power from an external source through the charging module. Additionally, the head patch (320) may include a switch (421) that controls whether the head patch (320) is operating. Additionally, the head patch (320) may further include a firmware flashing connector (422) that updates an application or firmware within the head patch (320). Additionally, the head patch (320) may include an area (323) where a coil is located at the bottom, and wireless charging can be performed through the coil. Additionally, the area (423) where the coil is located may include a wireless charging connecting pad (424), through which charging power can be supplied to the head patch (320). Additionally, as an example, the head patch (320) may further include a PPG (Photoplethysmography) sensor (425). The PPG sensor (425) can measure changes in blood flow through a light source and thereby measure the oxygen saturation described above. Specifically, oxygen saturation may be the oxygen concentration in the blood, and the PPG sensor (425) may include a light source and a light sensor, and can obtain information on oxygen saturation in the blood by measuring infrared and visible light through the light sensor. Additionally, as an example, the PPG sensor (425) may further sense blood pressure or other information based on changes in blood flow, and is not limited to a specific form.

[0092] Additionally, the electrode patch comprising at least one electrode (411-1, 411-2, 411-3, 411-4, 411-5, 411-6) inside the head patch (320) may be an electrode for measuring ECG or EOG, and may be a gold electrode composed of gold, but is not limited thereto and may be an electrode of other material. The wireless charging coil may be a configuration for performing battery charging, and the head patch (320) may be charged based on this.

[0093] Additionally, as an example, the head patch (320) may be composed of silicone gel and silicone elastomer, and may contain polyimide and copper trace inside. Here, the polyimide may be a polymer material having thermal stability and high mechanical strength. This allows the polyimide to deform together when the head patch (320) is stretched or bent when the head patch (320) is attached to the body, thereby allowing the head patch (320) to remain attached to the body without falling off. More specifically, an electrode patch and a medical tape may be attached to the user's body, and the electrode patch may be connected to the head patch (320). Thus, the bottom of the smart head patch (320) may be present on the user's body and may deform together based on the materials described above.

[0094] Additionally, copper tracking can enable the head patch (320) to track and transmit signals acquired through the high conductivity of copper. Furthermore, as an example, a battery can serve to maintain power to transmit the signals acquired by the head patch to a user device. As an example, the head patch (320) can maintain power for a long period through a battery as a low-power device. As another example, the battery may be attached to the body and charged according to the user's movement. As described above, since the head patch (320) is a low-power device, it may operate using power charged according to the user's movement while attached to the body, but it may not be limited to such embodiments.

[0095] Additionally, referring to FIG. 4c, the sleep diagnostic system may include a muscle patch (330). The muscle patch (330) may include an electrode patch composed of at least one electrode (431-1, 431-2, 431-3). Here, each of the at least one sensing electrode within the electrode patch may be attached to the body and may perform sensing to acquire the EMG signal described above. That is, each of the at least one sensing electrode within the electrode patch may detect changes in electrical signals within the muscle, and when a change in electrical signal is sensed, the corresponding sensing information may be transmitted to the connected electrode. Additionally, the muscle patch (330) may further include a body portion. The body portion may be a portion located outside of the at least one electrode and at least one sensing electrode, the processor, and other components to protect each component, and may not be limited to such a name. For example, the muscle patch (330) may be made of a material of silicon gel and silicon elastomer and attached to the body so as not to be detached. Silicon elastomer may be a material with excellent elasticity, absorbency, and tensile strength, and may allow the muscle patch (330) to remain attached to the body. That is, the part attached to the surface of the body may be composed of silicon gel and silicon elastomer, thereby allowing the muscle patch (330) to remain attached to the body. However, this is only one example and is not limited thereto.

[0096] For example, the muscle patch (330) may include an electrode patch comprising at least one electrode (431-1, 431-2, 431-3). Here, the electrode patch may be connected to a body part, and the body part may include a processor and other components as a component part, but is not limited to such names.

[0097] For example, the muscle patch (330) may include at least one of an electrode connector (431), an analog digital converter (ADC, 432), a processor (433), a motion sensor (434), a voltage regulator (435), a voltage divider (436), LEDs for indicating device status (437), a reverse voltage protection diode (438), an ESD protection diode (439), a wireless battery charging module (440), a battery connecting pad (441), a switch (442), and a connector for firmware flashing (443).

[0098] For example, at least one electrode (431) may be included in the muscle patch (330). Each of the at least one electrode (431-1, 431-2, 431-3) within the electrode patch may be connected to each of at least one sensing electrode as described above, and a patch-related signal may be measured based on the sensing information sensed from the at least one sensing electrode. In this disclosure, the term "patch-related signal" may refer to the EMG and other signal groups described above. It may also include signals that can be measured in relation to the user's body. In this disclosure, for convenience of explanation, it is referred to as a patch-related signal, but it is not limited to that term and may include various signals.

[0099] Specifically, at least one electrode (431-1, 431-2, 431-3) within the electrode patch can acquire an EMG signal by detecting an electrical change through at least one sensing electrode. At least one electrode (431-1, 431-2, 431-3) can convert the EMG signal into a digital signal through an ADC (432), and the converted digital signal can be controlled through a processor (433). For example, the processor (433) may be a BLE microprocessor, but is not limited thereto. A BLE (Bluetooth Low Energy) microprocessor may be a small microprocessor that supports low-power Bluetooth communication and may support wireless applications based on low power. For example, the muscle patch (330) may be a device that operates based on low power, and the above-described BLE microprocessor may be used, but is not limited thereto.

[0100] The processor (433) is a single chip in which the CPU, memory, RF transceiver, and various I / O devices are implemented, and can store digital signals modified by the ADC (432) and transmit them to an external device.

[0101] The motion sensor (434) can sense the movement of a user wearing a muscle patch (330). As a specific example, the motion sensor (434) may include at least one of an accelerometer that senses acceleration, a gyroscope that measures the angular velocity of an object, a geomagnetic sensor that measures geomagnetism, a gravity sensor that measures gravity, a tilt sensor that detects the tilt of an object, and an inertial measurement unit that performs comprehensive measurements, thereby sensing the user's movement and generating necessary information based on the user's movement.

[0102] Additionally, the muscle patch (330) may include a voltage regulator (435) to supply power to the processor (433) and other components. For example, the voltage regulator (435) may be a 3V voltage regulator, but is not limited thereto. A voltage divider (436) may distribute the voltage supplied to the processor (433) and the voltage for monitoring the battery level, and an LED (437) may indicate the operating status of the muscle patch (330). For example, the LED (437) may remain turned on when the muscle patch (330) senses a signal, but is not limited to such an embodiment. Additionally, a reverse voltage protection diode (438) may be a diode that protects the circuit when a reverse voltage is applied due to the power being connected with the wrong polarity within the muscle patch (330), and an ESD protection diode (439) may be a diode that protects the muscle patch (330) from electrostatic discharge (ESD).

[0103] Additionally, the muscle patch (330) may include a wireless battery charging module (440), thereby enabling the muscle patch (330) to be charged wirelessly. Additionally, the muscle patch (330) may include a battery connection pad (441), thereby enabling wired charging. That is, the muscle patch (330) can be charged and operated by receiving power from an external source through the charging module. Additionally, the muscle patch (330) may include a switch (442) that controls whether the muscle patch (330) is operating. Additionally, the muscle patch (330) may further include a firmware flashing connector (443) that updates an application or firmware within the muscle patch (330).

[0104] Additionally, the lower part of the muscle patch (330) may include an area (444) where a coil is located, and wireless charging may be performed through the coil. Additionally, the area (444) where the coil is located may include a wireless charging connecting pad (445), through which charging power can be supplied to the muscle patch (330).

[0105] As a specific example, the electrode patch inside the muscle patch (330) may be a gold electrode for measuring an EMG signal based on at least one sensing electrode, but is not limited thereto and may be composed of an electrode of another material. A wireless charging coil may be a component that performs battery charging, and based thereon, the muscle patch (330) may be charged. Additionally, as an example, the muscle patch (330) may be composed of silicone gel and silicone elastomer based on a medical tape combined with the electrode patch, and may contain polyimide and copper trace inside. Here, the polyimide may be a polymer material having thermal stability and high mechanical strength. As an example, the muscle patch (330) may be composed of a flexible material form based on the above. As another example, the muscle patch (330) may be a functional plastic or other form. That is, the muscle patch (330) may not be limited to a specific material or shape, but may take various forms to sense signals from the user's body and operate smoothly. This allows the polyimide to deform together when the muscle patch (330) is attached to the body and stretches or bends, thereby ensuring that the muscle patch (330) remains attached to the body without falling off. Additionally, copper tracking can track and transmit the signals acquired by the muscle patch (330) through the high conductivity of copper. Furthermore, as an example, a battery may serve to maintain power to transmit the signals acquired by the muscle patch (330) to a user device. For example, the muscle patch (330) may be a low-power device that can maintain power for a long period through a battery. As another example, the battery may be attached to the body and charged according to the user's movement.As described above, the muscle patch (330) is a low-power device and can operate by being attached to the body and charging as the user moves, but it may not be limited to this embodiment.

[0106] As another example, at least one of the heart patch (310), head patch (320), and muscle patch (330) may be attached to the body based on a flexible polymer material as well as silicone. Specifically, the flexible polymer material may be a highly elastic material (elastomer) or a soft plastic. Alternatively, the flexible polymer material may be a material that has other flexible properties and can be attached to the body. As an example, at least one of the heart patch (310), head patch (320), and muscle patch (330) may be made of a polymer material with excellent body adhesion properties to ensure that it is attached to the user's body and remains attached. Additionally, the user may move or move while wearing at least one of the heart patch (310), head patch (320), and muscle patch (330), and a situation may occur where the adhesion force weakens. Considering the above-mentioned points, at least one of the heart patch (310), head patch (320), and muscle patch (330) may be composed of a polymer material that allows it to be attached to and maintained on the user's body, and may not be limited to a specific material. That is, a material with improved adhesion may be used for at least one of the heart patch (310), head patch (320), and muscle patch (330).

[0107] FIGS. 5A to 5C illustrate a method of attaching patches in a sleep diagnosis system. Referring to FIGS. 5A to 5C, a body portion (510, 520, 530) may be included so that each of the heart patch (310), head patch (320), and muscle patch (330) is properly attached to the user's body. Here, the body portion (510, 520, 530) may be connected to an electrode patch composed of at least one electrode. In detail, each patch needs to be attached to the user's body to obtain signals related to sleep state monitoring and sleep diagnosis from the user in real time. Here, each patch can measure signals through the electrode and needs to be in close contact with the body to improve measurement accuracy. The body portion (510, 520, 530) may be connected to an electrode patch attached to the body based on medical tape. For example, the body part (510, 520, 530) may have its shape partially deformed depending on the body location where it is attached, thereby increasing the strength of attachment to the body.

[0108] FIG. 6 is a diagram illustrating a sleep diagnosis system according to an embodiment of the present specification. Referring to FIG. 6, the sleep diagnosis system can acquire signals obtained from a user through each of the aforementioned patches (310, 320, 330). For example, the sleep diagnosis system can monitor the user's sleep state and perform sleep diagnosis based on the signals obtained through each of the aforementioned patches (310, 320, 330).

[0109] As a specific example, the sleep diagnostic system operates before the user enters a sleep state to determine the time of entry and exit from sleep. Before entering a sleep state, the user may attach each of the aforementioned patches (310, 320, 330), and each of the patches (310, 320, 330) may be controlled by the sleep diagnostic system. Here, the sleep diagnostic system may be controlled via a user device (400). For example, an application, software, and other programs that control the sleep diagnostic system may be installed on the user device (400), and the sleep diagnostic system may be controlled based thereon. As a specific example, the user device (400) may control the on / off operation for each of the patches (310, 320, 330). That is, the user may attach each of the patches (310, 320, 330) to each location on the user's body and turn on each of the patches (310, 320, 330) through the user device (400). For example, when each patch (310, 320, 330) is turned on, each patch (310, 320, 330) transmits a test signal to the user device (400), and the user device (400) can check whether each patch (310, 320, 330) is operating based on the test signal. If each patch (310, 320, 330) is operating properly, the user device (400) can obtain a sleep diagnosis system-based signal from each patch (310, 320, 330). Here, each patch (310, 320, 330) can transmit a signal obtained from the user's body to the user device (400) based on a preset period. As another example, each patch (310, 320, 330) can acquire a signal by monitoring a rapid change in the user's body signal and can transmit the acquired signal to the user device (400).That is, each patch (310, 320, 330) can transmit the acquired signal to the user device (400) when it detects a change greater than a threshold value.

[0110] Based on the above description, a sleep diagnosis monitoring operation can be performed by the user device (400). For example, the user may attempt to sleep after confirming that each patch (310, 320, 330) is operating, and the user device (400) may determine whether the user has entered a sleep state based on signals obtained from each patch (310, 320, 330). For example, the user's body signals sensed before and after the user enters a sleep state may differ, and the sleep diagnosis system may determine the time of the user's sleep entry based on the change in such signals. For example, the sleep diagnosis system may record the time the user entered a sleep state through the user device (400), monitor the user's body signals while in sleep, and transmit them to the user device (400) based on a preset cycle. For example, a sleep diagnostic system may obtain information on the time of entry into sleep, information on the time of release from sleep, information on the user's sleep depth, information on the user's sleep status, and other information based on the user's body signals obtained from each patch (310, 320, 330). That is, sleep-related information may be derived based on at least one patch (310, 320, 330). Subsequently, the sleep diagnostic system may generate sleep result information based on the sleep-related information. For example, the sleep result information may be information obtained by analyzing information on the user's body signals sensed from the time of entry into sleep to the time of release from sleep. More specifically, the sleep result information may include total sleep time, sleep quality information, and other information derived during the user's sleep time, but is not limited to such embodiments.

[0111] Subsequently, sleep result information can be transmitted to the cloud. The cloud can analyze the sleep result information to generate sleep state monitoring information and sleep diagnosis information. As a specific example, the cloud may include a sleep diagnosis learning model, and the sleep result information may be provided as input to the sleep diagnosis learning model. The sleep diagnosis learning model can perform inference using the sleep result information as input, and based on the inference, can derive sleep state monitoring information and sleep diagnosis information as output.

[0112] Additionally, for example, a user device (400) can run an application based on a sleep diagnosis system, and the application can display user's sleep state monitoring information and sleep diagnosis information based on the user's body signals obtained from each patch (310, 320, 330). Here, for example, the sleep diagnosis system can perform sleep state monitoring and sleep diagnosis based on days, months, years, and other cycles set by the user in relation to the user's sleep, thereby enabling accurate sleep diagnosis of the user.

[0113] As another example, the sleep diagnostic system can perform sleep state monitoring and sleep diagnosis by reflecting user information. As a specific example, the sleep diagnostic system can obtain user activity information from at least one of the user devices (400). For example, the sleep diagnostic system can obtain user step count information, exercise amount information, and other user activity information through the user's smartwatch. Since the degree to which a user enters sleep and the sleep state may vary depending on the user's activity state, the sleep diagnostic system can further obtain and reflect such information. For example, on a day when the user engages in vigorous exercise, sleep entry may be faster and the sleep state may be maintained in a deep sleep state. On the other hand, if the user takes a nap or gets sufficient rest, sleep entry may be delayed and the sleep state may be unstable, and the sleep diagnostic system can reflect this information.

[0114] As another example, a sleep diagnostic system can incorporate a user's sleep history information. The timing of sleep entry and sleep state may differ depending on whether the user slept extensively or very little the previous day; the sleep diagnostic system can monitor the user's sleep state and perform sleep diagnosis by reflecting this information. As yet another example, the sleep diagnostic system can check for information regarding the user's alcohol consumption and incorporate this information to monitor the sleep state and perform sleep diagnosis. The sleep diagnostic system may also incorporate other user information, and it may not be limited to a specific form.

[0115] In addition, as an example, the aforementioned user-related information may be reflected in the cloud's sleep diagnosis learning model. Here, the user-related information may influence the weights of the cloud's sleep diagnosis learning model. That is, the weights of the sleep diagnosis learning model may be changed based on the user-related information, and sleep state monitoring information and sleep diagnosis information may be derived as outputs by reflecting the changed weights. However, this is merely one example and is not limited thereto.

[0116] In addition, as an example, the user device may provide information necessary for the user by displaying at least one of user body information, sleep-related information, sleep result information, sleep state monitoring information, and sleep diagnosis information obtained based on the above description, and is not limited to a specific form.

[0117] In addition, the sleep diagnostic system may input time-series data regarding the acquired signal into a CNN or LSTM (Long Short-Term Memory) based classifier. For example, the acquired signal may be a signal obtained from the body through each patch as described above. The sleep diagnostic system may input the time-series data regarding the acquired signal into a CNN or LSTM-based classifier to estimate the AHI (Apnea-Hypopnea Index) or to update a learning model equipped with a learning model to automatically classify sleep stages (N1, N2, REM, etc.). As a specific example, signal changes can be measured based on the time-series data of the relevant signal obtained from each of the aforementioned patches. Furthermore, time-series data regarding the aforementioned signals related to sleep can be acquired, and a learning model can be constructed based on this data. In other words, a learning model can be constructed by performing learning using existing sleep-related time series data and time series data of patch-related signals, and time series data regarding signals obtained from a user can be provided as input to the constructed learning model to perform inference operations, and based on this, sleep stages can be automatically classified or information on sleep quality can be automatically derived.

[0118] FIG. 7 is a diagram illustrating a sleep diagnosis system according to an embodiment of the present specification. Referring to FIG. 7, the sleep diagnosis system (700) may include at least one patch (711, 712, 713). Here, the at least one patch (711, 712, 713) may include the aforementioned patch (310, 320, 330), and it may also include other patches. Additionally, the sleep diagnosis system (700) may include a device (720). Here, the device (720) may be the aforementioned user device (400). As another example, the device (720) may be a dedicated device for the sleep diagnosis system and may not be limited to a specific form. As an example, the device (720) may obtain a signal measured from the user from each of the at least one patch (711, 712, 713). Additionally, the sleep diagnosis system (700) may further include a cloud (730). For example, the cloud (730) may not be included within the sleep diagnosis system (700) and may operate separately, and is not limited to a specific form. The cloud (730) may receive and analyze the user's physical signals obtained from at least one patch (711, 712, 713) from the device (720). As a specific example, the cloud (730) may be equipped with an AI / ML learning model related to sleep state monitoring and sleep diagnosis. The cloud (730) may obtain the user's physical signals obtained from at least one patch (711, 712, 713) through the device (720), and perform inference on the AI / ML learning model related to sleep state monitoring and sleep diagnosis using the information as input to derive the user's sleep state information and sleep diagnosis information as output. For example, the AI / ML learning model may be updated based on the physical signals obtained from the user and is not limited to a specific form.That is, in the sleep diagnosis system (700), the cloud (730) may be configured to perform sleep diagnosis and monitoring of the user's sleep state based on acquired signals. As another example, the sleep diagnosis system (700) may be further connected to an external server (740). Here, the external server (740) may transmit user profile information to the sleep diagnosis system (700). As another example, the external server (740) may be a server of a medical institution or an institution related to the user's health, and the sleep diagnosis system (700) may acquire user-related information, such as user-related medical record information and health checkup information. For example, information acquired from the external server (740) may be reflected in the cloud (730). As a specific example, in the sleep state monitoring and sleep diagnosis AI / ML learning model, the weight for sleep diagnosis may differ based on the information acquired from the external server (740). In other words, AI / ML learning models can perform inference based on physical signals obtained from the user by incorporating more user-related information, thereby improving the accuracy of monitoring the user's sleep state and diagnosing sleep.

[0119] FIG. 8 is a diagram illustrating a method for analyzing head-related signals based on machine learning according to an embodiment of the present specification. Referring to FIG. 8, a sleep diagnosis system may provide analysis information regarding a signal obtained from at least one patch based on AI / ML. More specifically, the signal obtained from at least one patch may be transmitted through a user device. Here, the user device may perform inference based on the signal obtained from an embedded algorithm or a monitoring learning model (S810) to derive analysis information regarding the signal obtained from at least one patch (S820). That is, as described above, at least one of sleep-related information and sleep result information may be provided as input to a sleep diagnosis learning model, and inference may be performed based thereon. Here, the analysis information derived as output may include at least one of sleep state monitoring information and sleep diagnosis information, as described above.

[0120] For example, while it may be possible for the aforementioned operation to be performed in the cloud separately from the user device, the following description is based on the assumption that the operation is performed on the user device. That is, the user device may be equipped with a sleep diagnosis learning model as an embedded algorithm or a monitoring learning model. Here, the sleep diagnosis learning model may be a learning model trained based on analysis information regarding signals obtained from at least one patch. As another example, the sleep diagnosis learning model may be a learning model trained to derive sleep state monitoring and sleep diagnosis information based on other user information and sleep state.

[0121] As a specific example, a signal obtained from at least one patch can be compared with information stored in a database. Additionally, the user device can perform inference based on the preprocessed information after performing filtering, wavelet noise removal, and other preprocessing operations. For example, the learning model can perform inference based on rescaling or CNN (convolutional neural network) classification operations, and through this, analyze the signal obtained from at least one patch to generate sleep state monitoring and sleep diagnosis information for the current user. Subsequently, the user device can calculate period information corresponding to a certain period based on the sleep state monitoring and sleep diagnosis information (S830) and display the information on the user device (S840). For example, the user device can generate score information based on the sleep state monitoring and sleep diagnosis information and display the score information on the user device. That is, the user device can generate sleep state monitoring and sleep diagnosis information by analyzing the signal obtained from at least one patch through AI / ML. Here, for example, a user device may be provided with a cloud-based, pre-trained state sleep diagnosis learning model, but is not limited to this.

[0122] As described above, the sleep diagnosis system can update a learning model based on signals measured by the user, and analyze and diagnose the user's sleep state according to the updated learning model, thereby providing the user with information for improving sleep diagnosis.

[0123] More specifically, the sleep diagnostic system may input time-series data regarding the acquired signal into a CNN or LSTM (Long Short-Term Memory) based classifier. For example, the acquired signal may be a signal obtained from the body through each patch as described above. The sleep diagnostic system may input the time-series data regarding the acquired signal into a CNN or LSTM-based classifier to estimate the AHI (Apnea-Hypopnea Index) or to automatically classify sleep stages (N1, N2, REM, etc.) and update the learning model. As a specific example, signal changes can be measured based on the time-series data of the relevant signal obtained from each of the aforementioned patches. Additionally, time-series data regarding the aforementioned signals related to sleep can be acquired, and a learning model can be constructed based on this. In other words, a learning model can be constructed by performing learning using existing sleep-related time series data and time series data of patch-related signals, and time series data regarding signals obtained from a user can be provided as input to the constructed learning model to perform inference operations, and based on this, sleep stages can be automatically classified or information on sleep quality can be automatically derived.

[0124] FIGS. 9a and FIGS. 9b are drawings showing electrodes of a patch device according to one embodiment of the present specification.

[0125] Referring to FIG. 9a, the patch device (600) may include three electrodes (611, 612, 613). The three electrodes (611, 612, 613) may have a structure having flexible electrodes. Each of the three electrodes (611, 612, 613) of the patch device (600) may have a flexible electrode having a silicone adhesive portion, a fiber layer, an adhesive layer, and a serpentine pattern. For example, the patch device (600) having three electrodes (611, 612, 613) may be a heart patch for measuring ECG, but is not limited thereto. For example, the flexible electrodes having a serpentine pattern as the three electrodes (611, 612, 613) of the patch device (600) may be ENIG (electroless nickel immersion gold) electrodes composed of two layers of electroless nickel and immersion gold on an electronic circuit board (PCB), and the gold may come into contact with the user's body, but are not limited to this embodiment. For example, the electroless nickel may form a nickel layer on copper so that the copper does not come into direct contact with the gold, and the immersion gold may form a layer of thin gold on the nickel, and the gold may be coated on the nickel surface based on an immersion method. Here, the immersion gold may have high electrical conductivity, and the gold may come into contact with the user's body to acquire the user's biosignal. That is, by allowing gold with high electrical conductivity to come into contact with the user's body, the accuracy of acquiring the user's biosignal can be improved. Additionally, the three electrodes (611, 612, 613) may be connected to a copper conductive layer (620) or other conductive layers. User biosignals obtained from the user through the three electrodes (611, 612, 613) may be transmitted to the connection part (630) through the conductive layer (620).The back side of the connection part (630) is composed of an ENIG electrode, and the front side is composed of a flat flexible cable (FFC), so that a path can be formed for transmitting the user biosignal sensed from the patch device (600).

[0126] For example, the patch device (600) may be configured to be a size that is attached to the user's heart location as a heart patch. As a specific example, the patch device (600) may have a size of 53 (L) x 45 (M) mm, but this is only one example and is not limited thereto. Additionally, a polyamide layer may be formed between the conductive layer (620) in the patch device (600) to improve mechanical performance. As another example, the patch device (600) may include a hole into which a microphone is inserted. The microphone may be a device that converts sound into electrical energy. For example, the microphone may acquire heart sound information and transmit the heart sound information to the patch device (600). Additionally, the patch device (600) may include other configurations related to user biosignal sensing and is not limited to a specific form.

[0127] Referring to FIG. 9b, the basic structure of the patch device (600) may be the same as that of FIG. 9a. However, the shape of the three electrodes (611, 612, 613) in FIG. 9b may be configured differently from FIG. 9a. Specifically, each of the three electrodes (611, 612, 613) may have a serpentine pattern, but may have a shape like that of FIG. 9b. However, it is not limited to this, and other shapes of patterns may also be possible.

[0128] Additionally, referring to FIG. 9b, the connection portion (630) may include a signal transmission portion (631) that transmits a signal to a region composed of electrodes within a flexible region, and an external connection portion (632) composed of electrodes within a rigid region that can be connected to an external device. Specifically, the signal transmission portion (631) may be a part that transmits a signal obtained from three electrodes (611, 612, 613) within the connection portion (630), may be located within the flexible region, and the signal transmission portion (631) may be formed as an electrode. The end of the signal transmission portion (631) may be connected to the external connection portion (632), and the external connection portion (632) may be a part that allows the electrodes and circuits to be connected to a driving portion within the patch device (600) through external coupling. The external connection part (632) may be made of a rigid material because it must be connected to a driving part within the patch device (600) or a terminal of an external device. Specifically, if the external connection part (632) is made of a flexible material, the connection to the driving part (or external device) within the patch device (600) may not be smooth. For example, if the area of ​​the external connection part (632) is bent or folded, the part that needs to be connected to the terminal of the external device may not be connected, and a defect may occur in the terminal. Considering the above-mentioned points, the external connection part (632) may be made of a rigid material in a fixed form as a support area, and based on this, it can be connected to the external device without defect. On the other hand, the signal transmission part (631) may be made of a flexible material because it is not an area that is directly connected to a driving part or an external device terminal, even though an electrode exists therein. Here, the signal transmission part (631) can be bent so that the external connection part (632) moves to a position where it contacts the driving part or the external terminal, thereby supporting the connection of the external connection part (632). Additionally, the patch device (600) may be provided with at least one fixing groove (640).At least one fixing groove (640) may be a part configured to allow a substrate composed of electrodes within a patch device (600) to be fixed to a medical tape (or other flexible material, 650). For example, the medical tape (650) or other flexible materials may be elastic materials, and accordingly, the flexible materials may be easily contracted and expanded. As another example, a case may be considered where the measurement value (or measurement value) differs for each patch device when the medical tape (650) or other flexible materials are moved slightly. Considering the above points, it is necessary for the medical tape (650) and the substrate inside the patch device (600) to be aligned in a certain position, and the fixing groove (640) may be a part that allows the substrate inside the patch device (600) and the medical tape to be aligned in a fixed position. Considering the above-described points, the patch device (600) may be provided with at least one fixing groove (640), and the substrate and medical tape may be sequentially overlapped based on the fixing groove (640), thereby allowing the production of a patch device (600) of the same shape. In addition, other details may be the same as those in FIG. 9a.

[0129] FIGS. 10a and FIGS. 10b are drawings showing electrodes of a patch device according to one embodiment of the present specification.

[0130] Referring to FIG. 10a, the patch device (700) may include three electrodes (711, 712, 713). The three electrodes (711, 712, 713) may have a structure having flexible electrodes. Each of the three electrodes (711, 712, 713) of the patch device (700) may have a flexible electrode having a silicone adhesive portion, a fiber layer, an adhesive layer, and a serpentine pattern. As an example, the patch device (700) having three electrodes (711, 712, 713) may be a muscle patch for measuring EMG, but is not limited thereto. For example, the flexible electrodes having a serpentine pattern as the three electrodes (711, 712, 713) of the patch device (700) may be ENIG (electroless nickel immersion gold) electrodes composed of two layers of electroless nickel and immersion gold on an electronic circuit board (PCB), and the gold may come into contact with the user's body, but are not limited to this embodiment. For example, the electroless nickel may form a nickel layer on copper so that the copper does not come into direct contact with the gold, and the immersion gold may form a layer of thin gold on the nickel, and the gold may be coated on the nickel surface based on an immersion method. Here, the immersion gold may have high electrical conductivity performance, and based on this, it may come into contact with the user's body to acquire the user's biosignal. That is, by allowing gold with high electrical conductivity to come into contact with the user's body, the accuracy of acquiring the user's biosignal can be improved. Additionally, the three electrodes (711, 712, 713) may be connected to a copper conductive layer (720) or other conductive layers. User biosignals obtained from the user through the three electrodes (611, 612, 613) may be transmitted to the connection part (630) through the conductive layer (620).The back side of the connection part (730) is composed of an ENIG electrode, and the front side is composed of a flat flexible cable (FFC) to form a path through which a signal sensed from the patch device (600) is transmitted.

[0131] Additionally, as an example, the patch device (700) may be configured to be a size that attaches to the user's body as a muscle patch. As a specific example, it may have a size of 31 (L) x 9 (M) mm, but this is only one example and is not limited thereto. Additionally, a polyamide layer may be formed between the conductive layer (720) in the patch device (700).

[0132] Referring to FIG. 10b, the basic structure of the patch device (700) may be the same as that of FIG. 10a. However, the shape of the three electrodes (711, 712, 713) in FIG. 10b may be configured differently from FIG. 10a. Specifically, each of the three electrodes (711, 712, 713) may have a serpentine pattern, but may have a shape like FIG. 10b. However, it is not limited to this, and other shapes of patterns may also be possible.

[0133] Additionally, referring to FIG. 10b, the connection portion (730) may include a signal transmission portion (731) that transmits a signal to a region composed of electrodes within a flexible region, and an external connection portion (732) composed of electrodes within a rigid region that can be connected to an external device. Specifically, the signal transmission portion (731) may be a part that transmits a signal obtained from three electrodes (711, 712, 713) within the connection portion (730), and the signal transmission portion (731) within the flexible region may be formed as an electrode. The external connection portion (732) may be located at the end of the signal transmission portion (731), and the external connection portion (732) may be a part that allows the electrodes and circuits to be connected to an external device through coupling with a driving portion within the patch device (700). Since the external connection portion (731) must be coupled to a driving portion of the patch device (700) or an external device, it may be made of a rigid material. Specifically, if the external connection part (731) is made of a flexible material, it may not be possible to connect smoothly to an external device. For example, if the area of ​​the external connection part (731) is bent or folded, the part that needs to be joined to the terminal of the external device may not be joined, and a defect may occur in the terminal. Considering the above-mentioned point, the external connection part (732) may be made of a rigid material in a fixed form as a support area, and based on this, it can be connected to the external device without defect. On the other hand, the signal transmission part (731) may be made of a flexible material because it may not be an area that is directly connected to the driving part or the terminal of the external device, even though an electrode exists therein. Here, the signal transmission part (731) may be bent so that the external connection part (732) moves to a position where it contacts the driving part or the external terminal, thereby supporting the connection of the external connection part (632). In addition, the patch device (700) may be provided with at least one fixing groove (740).At least one fixing groove (740) may be a part configured to allow a substrate composed of electrodes within a patch device (700) to be fixed to a medical tape (or other flexible material, 750). For example, the medical tape (750) or other flexible materials may be elastic materials, and thus may be easily contracted and expanded. As another example, a case may be considered where the measurement value differs for each patch device when the medical tape (750) or other flexible materials are moved slightly. Considering the above points, it is necessary for the medical tape (750) and the substrate inside the patch device (700) to be aligned in a fixed position, and the fixing groove (740) may be a part that allows the substrate inside the patch device (700) and the medical tape to be aligned in a fixed position. Considering the above-described points, the patch device (700) may be provided with at least one fixing groove (740), and the substrate and medical tape may be sequentially overlapped based on the fixing groove (740), thereby enabling the production of a patch device (700) of the same shape. In addition, other details may be the same as those in FIG. 10a.

[0134] FIGS. 11a and FIGS. 11b are drawings showing electrodes of a patch device according to one embodiment of the present specification.

[0135] Referring to FIG. 11a, the patch device (800) may include six electrodes (811, 812, 813, 814, 815, 816). The six electrodes (811, 812, 813, 814, 815, 816) may have a structure having flexible electrodes. That is, each of the six electrodes (811, 812, 813, 814, 815, 816) of the patch device (800) may have a flexible electrode having a silicone adhesive portion, a fiber layer, an adhesive layer, and a serpentine pattern. As an example, the patch device (800) having six electrodes (811, 812, 813, 814, 815, 816) may be a head patch for measuring EEG, but is not limited thereto. For example, the flexible electrodes having a serpentine pattern as the six electrodes (811, 812, 813, 814, 815, 816) of the patch device (800) may be ENIG (electroless nickel immersion gold) electrodes composed of two layers of electroless nickel and immersion gold on an electronic circuit board (PCB), and the gold may come into contact with the user's body, but are not limited to this embodiment. For example, the electroless nickel may form a nickel layer on copper so that the copper does not come into direct contact with the gold, and the immersion gold may form a layer of thin gold on the nickel, and the gold may be coated on the nickel surface based on an immersion method. Here, the immersion gold may have high electrical conductivity performance, and based on this, it may come into contact with the user's body to acquire the user's biosignal. That is, by allowing gold with high electrical conductivity to come into contact with the user's body, the accuracy of acquiring the user's biosignal can be improved. In addition, the six electrodes (811, 812, 813, 814, 815, 816) can be connected to a copper conductive layer (820) or other conductive layers.A signal sensed through the conductive layer (720) can be transmitted to the connection part (730). The back side of the connection part (830) is composed of an ENIG electrode, and the front side is composed of a flat flexible cable (FFC), so that a path can be formed for the signal sensed from the patch device (800) to be transmitted.

[0136] Additionally, as an example, the patch device (700) may be configured to be sized to be attached to the user's body as a header patch. As a specific example, it may have a size of 76 (L) x 26 (M) mm, but this is merely one example and is not limited thereto. Additionally, a polyamide layer may be formed between the conductive layer (720) in the patch device (600). As another example, the patch device (800) may further include an area equipped with a Photoplethysmography (PPG) sensor. The PPG sensor can measure changes in blood flow through a light source and thereby measure the oxygen saturation described above. Specifically, oxygen saturation may be the oxygen concentration in the blood, and the PPG sensor may include a light source and a light sensor, and may obtain information on oxygen saturation in the blood by measuring infrared and visible light through the light sensor. Additionally, as an example, the PPG sensor may further sense blood pressure or other information based on changes in blood flow, and is not limited to a specific form.

[0137] Referring to FIG. 11b, the basic structure of the patch device (800) may be the same as that of FIG. 8a. However, the shape of the six electrodes (811, 812, 813, 814, 815, 816) in FIG. 11b may be configured differently from FIG. 8a. Specifically, each of the six electrodes (811, 812, 813, 814, 815, 816) may have a serpentine pattern, but may have a shape like that of FIG. 11b. However, it is not limited to this, and other shapes of patterns may also be possible.

[0138] Additionally, referring to FIG. 11b, the connection portion (830) may include a signal transmission portion (831) that transmits a signal to a region composed of electrodes within a flexible region, and an external connection portion (832) composed of electrodes within a rigid region that can be connected to an external device. Specifically, the signal transmission portion (831) may be a part that transmits a signal obtained from six electrodes (811, 812, 813, 814, 815, 816) within the connection portion (830), and the signal transmission portion (831) within the flexible region may be formed as an electrode. The external connection portion (832) may be located at the end of the signal transmission portion (831), and the external connection portion (832) may be a part that is connected to a driving portion within the patch device (800) through coupling with an electrode and a circuit. The external connection part (831) may be made of a rigid material because it must be connected to the driving part of the patch device (800) or to an external device. Specifically, if the external connection part (831) is made of a flexible material, the connection to the external device may not be smooth. For example, if the area of ​​the external connection part (831) is bent or folded, the part that needs to be connected to the terminal of the external device may not be connected, and a defect may occur in the terminal. Considering the above-mentioned point, the external connection part (832) may be made of a rigid material in a fixed form as a support area, and based on this, it can be connected to the driving part of the patch device to the external device without defect. On the other hand, the signal transmission part (831) may be made of a flexible material because it is not an area that is directly connected to the driving part or the terminal of the external device, even though an electrode exists therein. Here, the signal transmission part (831) may be bent so that the external connection part (832) moves to a position where it contacts the driving part or the external terminal, thereby supporting the connection of the external connection part (832), which will be described later. In addition, the patch device (800) may be provided with at least one fixing groove (840).At least one fixing groove (840) may be a part configured to allow a substrate composed of electrodes within a patch device (800) to be fixed to a medical tape (or other flexible material, 850). For example, the medical tape (850) or other flexible materials may be elastic materials, and thus may be easily contracted and expanded. As another example, a case may be considered where the measurement value differs for each patch device when the medical tape (850) or other flexible materials are moved slightly. Considering the above points, it is necessary for the medical tape (850) and the substrate inside the patch device (800) to be aligned in a fixed position, and the fixing groove (840) may be a part that allows the substrate within the patch device (800) and the medical tape to be aligned in a fixed position. Considering the above-described points, the patch device (800) may be provided with at least one fixing groove (840), and the substrate and medical tape may be sequentially overlapped based on the fixing groove (840), thereby enabling the production of a patch device (800) of the same shape. In addition, other details may be the same as those in FIG. 11a.

[0139] FIGS. 12a and FIGS. 12b are drawings illustrating a method for manufacturing a flexible circuit board applicable to the present disclosure. Referring to FIG. 12a, a flexible circuit board can be created using a flexible printed circuit board electrode (fPCB) (1310). The fPCB (1310) may be a configuration of electrodes included within the patch device described above, and may refer to a substrate composed of electrodes in FIGS. 9a through 11b. For example, the fPCB (1310) may be in the form of electrodes formed on a flexible circuit board, and may have a flexible form that allows it to be attached to skin or curved surfaces. Additionally, the fPCB (1310) may be attached to the skin of the body with a thin and lightweight structure, as described above. Furthermore, the fPCB (1310) may be capable of forming high-precision circuits, making it possible to manufacture fine electrode patterns. Here, the above-described fPCB (1310) can be manufactured based on the electrode alignment jig (1320). The fPCB (1310) may be a flexible circuit board, and a circuit within a flexible area may be formed on the electrode alignment jig (1320). Here, the electrode alignment jig (1320) and the fPCB (1310) may be fixed based on the above-described fixing grooves (640, 740, 840). That is, the fPCB (1310) may be provided with the above-described fixing grooves (640, 740, 840), and may be coupled with the electrode alignment jig (1320) through the fixing grooves (640, 740, 840). Through this, the fPCB (1310) located on the electrode alignment jig (1320) can always be fixed in the same position. After that, a medical tape (1330) can be attached to the fPCB (1310) on which the electrode is formed, and the medical tape (1330) can also be fixed based on the fixing grooves (640, 740, 840).For example, referring to FIG. 12b, an electrode alignment jig (1320) and a medical tape (1330) can be fixed based on the fixing grooves (640, 740, 840) within the fPCB (1310). As described above, the elastic medical tape (1330) can be coupled to the fPCB (1310) in a fixed position, and after the medical tape (1330) is coupled to the fPCB (1310), the fPCB (1310) can be detached from the electrode alignment jig (1320). After that, a medical tape liner (1340) can be additionally coupled to the side opposite to where the fPCB (1310) and the medical tape (1330) are coupled, thereby forming the internal configuration of the patch device described above.

[0140] FIG. 13 may be a configuration related to a patch device body applicable to the present disclosure. Referring to FIG. 13, the patch device may include the heart patch, head patch, and muscle patch described above. Here, the patch device body may have a shape such as FIG. 13 (a), (b), and (c). However, the patch device bodies (1410, 1420, 1430) of FIG. 13 are merely examples, and it is possible for the shape to be implemented differently in some respects, and they may not be limited to a specific shape. For convenience of explanation, the following description is based on a specific patch device body (1430) of FIG. 14, but the same applies to other patch device bodies (1410, 1420), and they may not be limited to a specific shape. Referring to FIG. 13, an area in contact with the skin of the body may be located at the bottom of the patch device body (1430) with a medical tape (or flexible area) to which an fPCB is attached.

[0141] As a more specific example, FIGS. 14 and 15 are drawings showing the structure of a patch device to which the present disclosure applies.

[0142] Referring to FIG. 14, the patch device body (1430) of FIG. 13 described above may include driving units (1500) related to driving the patch device body (1430). For example, the driving unit may include at least one of an electrode connector, an analog digital converter (ADC), a processor, a voltage regulator, a voltage divider, LEDs for indicating device status, a reverse voltage protection diode, an ESD protection diode, a wireless battery charging module, a battery connecting pad, a switch (421), and a connector for firmware flashing. For example, the electrode may convert a measurement signal obtained through a sensor into a digital signal through the ADC, and the converted digital signal may be controlled through the processor. The processor may be a BLE microprocessor, but is not limited thereto. A BLE (Bluetooth Low Energy) microprocessor may be a small microprocessor that supports low-power Bluetooth communication and may support wireless applications based on low power. For example, the driving part (1500) of the patch device body (1430) may be a device that operates based on low power, and the aforementioned BLE microprocessor may be used, but is not limited thereto. The processor may be a single chip in which a CPU, memory, RF transceiver, and various I / O devices are implemented, and may store digital signals modified by an ADC and transmit them to an external device.Additionally, the driving unit (1500) of the patch device body (1430) may include a voltage regulator to supply power to the processor and other components. Additionally, a voltage divider may distribute the voltage supplied to the processor and the voltage for monitoring the battery level, and an LED may indicate the operating status of the patch device body (1430). Additionally, a reverse voltage protection diode may be a diode that protects the circuit when reverse voltage is applied due to power being connected with incorrect polarity within the head patch, and an ESD protection diode may be a diode that protects the head patch from electrostatic discharge (ESD). Additionally, the driving unit (1500) of the patch device body (1430) may include a wireless battery charging module, thereby enabling the driving unit (1500) of the patch device body (1430) to be charged wirelessly. Additionally, the driving unit (1500) of the patch device body (1430) may include a battery connection pad, thereby enabling wired charging as well. That is, the driving unit (1500) of the patch device body (1430) can be charged and operated by receiving power from an external source through a charging module. Additionally, it may include a switch that controls whether the driving unit (1500) of the patch device body (1430) operates. Furthermore, the driving unit (1500) of the patch device body (1430) may further include a firmware flashing connector that updates an application or firmware. Additionally, the driving unit (1500) of the patch device body (1430) may have an area where a coil is located so that wireless charging is performed through the coil. However, the above-described configurations included in the driving unit (1500) of the patch device body (1430) are merely examples and are not limited thereto. That is, the driving unit (1500) of the patch device (1430) may include various configurations within a circuit board. Furthermore, the driving unit (1500) may be an individual device and is not limited to a specific form.In this disclosure, for convenience of explanation, it is referred to as a driving unit (1500).

[0143] Referring to FIG. 14, the upper portion of the driving portion (1500) of the patch device body (1430) may include a coupling portion (1510) that is coupled to an external coupling portion of a medical tape (or flexible area, 1600) to which an fPCB is coupled. Here, the coupling portion (1510) may include an upper coupling portion (1511) and a lower coupling portion (1512). The coupling portion (1510) may be configured such that the electrode of the external coupling portion of the medical tape (or flexible area, 1600) to which an fPCB is coupled is connected to the electrode of the driving portion (1500) in a fixed manner. The upper fastening part (1511) and the lower fastening part (1512) within the coupling fastening part (1510) may be configured to surround the outside of the electrode within the driving part (1500), and the structure may be such that the electrode of the outer fastening part of the medical tape (or flexible area, 1600) to which the fPCB is coupled is inserted into the space created by the coupling fastening part (1510) and coupled with the electrode of the driving part (1500). Through the above description, the medical tape (or flexible area, 1600) to which the fPCB is coupled can be connected to the driving part (1500) within the patch device body (1430) and can transmit a measurement signal that is attached to the body and sensed.

[0144] For a specific example, referring to FIG. 15, the external fastening portion of the medical tape (or flexible area, 1600) combined with the fPCB may be connected to the patch device body (1430), and the coupling fastening portion (1510) of the driving unit (1500) described above may be located at the portion connected to the patch device body (1430). That is, the external fastening portion of the medical tape (or flexible area, 1600) combined with the fPCB may be inserted into the groove of the patch device body (1430), fixed within the coupling fastening portion (1510) located in the groove, and connected to the electrode of the driving unit (1500). Here, the signal transmission portion of the medical tape may be bent so that the external fastening portion becomes the location where the patch device body (1430) is connected, thereby supporting external coupling of the external fastening portion. After that, the electrode of the external fastening part and the electrode of the driving part (1500) are connected, and the patch device body (1430) can be coupled to the adhesive part (1611, 1612) of the medical tape (or flexible area, 1600). For example, the adhesive part (1611, 1612) may be in the form of Velcro, and there may be an area in the patch device body (1430) that can be coupled with the Velcro form as an adhesive part (not shown) at a corresponding location. However, it may not be limited thereto. For example, the adhesive part (1611, 1612) of the medical tape (or flexible area, 1600) and the adhesive part of the patch device body (1430) may be of a different type of adhesive that can be attached (or coupled), and through this, the patch device body (1430) and the medical tape (1600) can be coupled. As described above, the lower area of ​​the medical tape (or flexible area, 1600) can be attached to the body to sense relevant signals from the user.

[0145] The embodiments described above may be implemented at least partially as computer programs and recorded on computer-readable recording media. Computer-readable recording media on which programs for implementing the embodiments are recorded include all types of recording devices in which data readable by a computer is stored. Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, optical data storage devices, etc. Additionally, computer-readable recording media may be distributed across networked computer systems, and computer-readable code may be stored and executed in a distributed manner. Furthermore, functional programs, codes, and code segments for implementing the embodiments will be readily understood by a person skilled in the art to which the embodiments pertain.

[0146] Although the present specification described above has been explained with reference to the embodiments illustrated in the drawings, this is merely illustrative and those skilled in the art will understand that various modifications and variations of the embodiments are possible therefrom. However, such modifications should be considered to be within the technical scope of protection of the present specification. Accordingly, the true technical scope of protection of the present specification should be determined to include other implementations, other embodiments, and equivalents to the claims based on the technical spirit of the appended claims.

[0147]

[0148] The above-mentioned matters may also be applied to other systems.

Claims

In sleep diagnostic systems, At least one patch comprising at least one of a heart patch, a head patch, and a muscle patch; A device for acquiring a user body signal from at least one patch, wherein the device controls the at least one patch through an application that operates based on the sleep diagnosis system; and A sleep diagnosis system comprising a cloud that receives the user's body signal from the device and analyzes the user's body signal to generate user sleep state monitoring information and sleep diagnosis information. In Article 1, Among the at least one patch, the heart patch acquires ECG (electrocardiogram), SCG (seismocardiogram), and PCG (phonocardiogram) signals through at least one sensing electrode within an electrode patch attached to a first part of the user's body based on preset schedule information, and transmits the acquired ECG, SCG, and PCG signals to the device as user body signals. A sleep diagnostic system comprising a heart patch that acquires a user signal from an electrode patch including at least one sensing electrode that senses the ECG, SCG, and PCG signals. In Article 1, Among the above at least one patch, the head patch acquires EEG (Electroencephalography) and EOG (Electrooculography) signals through at least one sensing electrode within an electrode patch attached to a second part of the user's body based on preset schedule information, acquires oxygen saturation information through a PPG (Photoplethysmography) sensor, and transmits the acquired EEG and EOG signals and the oxygen saturation information to the device as user body signals. A sleep diagnostic system comprising a head patch that acquires a user signal from an electrode patch including at least one sensing electrode that senses the EEG and EOG signals. In Article 1, Among the at least one patch, the muscle patch senses and acquires an electromyography (EMG) signal through at least one sensing electrode within an electrode patch attached to a third part of the user's body based on preset schedule information, acquires user body movement information through a motion sensor, and transmits the acquired EMG signal and user body movement information to the device. A sleep diagnostic system in which the muscle patch acquires the user signal from the electrode patch comprising at least one sensing electrode that senses the EMG signal. In Article 1, Based on the sleep diagnosis system above, when the at least one patch is attached to each location on the user's body and turned on, the device starts sensing and monitoring the user's sleep state in conjunction with the at least one patch, When the above sleep state sensing monitoring is performed, the device acquires the user body signals sensed from each of the at least one patch based on a preset period, and The sleep-related information is obtained based on the user body signals obtained from each of the at least one patch, A sleep diagnostic system comprising at least one of the above sleep-related information, sleep state entry time information, sleep release time information, user's sleep depth information, and user's sleep status information. In Article 5, The above device derives sleep result information based on the sleep-related information, and the sleep result information is transmitted to the cloud to generate the sleep state monitoring information and the sleep diagnosis information, A sleep diagnosis system in which the above-mentioned cloud includes a sleep diagnosis learning model, the above-mentioned sleep result information is provided as input to the above-mentioned sleep diagnosis learning model, and the above-mentioned sleep state monitoring information and the above-mentioned sleep diagnosis information are derived as outputs through the inference of the above-mentioned sleep diagnosis learning model. In Article 6, The above sleep diagnosis system further acquires user-related information and generates the sleep state monitoring information and the sleep diagnosis information by reflecting the user-related information, A sleep diagnosis system in which, when user-related information is reflected in the sleep diagnosis learning model, the weights of the sleep diagnosis learning model are changed based on the user-related information, and the sleep state monitoring information and the sleep diagnosis information are derived as outputs based on the changed weights of the sleep diagnosis learning model. In Article 6, The above device is a sleep diagnostic system that displays at least one of user body signal information, sleep-related information, sleep result information, sleep state monitoring information, and sleep diagnostic information.

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