Method and system for prescribing customized shoulder rehabilitation exercise on basis of iot-based digital dynamometer

Abstract

According to an embodiment of the present invention, a method for prescribing a customized shoulder rehabilitation exercise on the basis of an IoT-based digital dynamometer is a method in which a healthcare application executed by at least one processor of a terminal provides a customized exercise prescription service. The method comprises the steps of: performing initial setting by acquiring basic gripping power and a basic angle at a time point before surgery; acquiring first gripping power and a first angle at a first time point after surgery; generating a first exercise program on the basis of the acquired basic gripping power and first gripping power, and the basic angle and the first angle; acquiring a first exercise dataset for the first exercise program at a second time point which is a prescribed time point after starting to perform the first exercise program; generating exercise result content for the acquired first exercise dataset; and generating a second exercise program in which the construction of the first exercise program is changed on the basis of the acquired first exercise dataset.

Description

Method and system for prescribing customized shoulder rehabilitation exercises based on an IoT-based digital grip dynamometer

[0001] The present invention relates to a method and system for prescribing customized shoulder rehabilitation exercises based on an IoT-based digital grip dynamometer. More specifically, the present invention relates to a method and system for prescribing customized shoulder rehabilitation exercises based on an IoT-based digital grip dynamometer. The method prescribes a customized shoulder rehabilitation exercise program appropriate for the patient's condition and determines the patient's degree of improvement based on compliance data measured by the digital grip dynamometer.

[0002] Patients with thoracic conditions, including shoulder joint disease, breast cancer, lung disease, and heart disease, undergo thoracic surgery. For example, breast cancer surgery inevitably results in reduced shoulder range of motion, depending on the extent of the surgery, including total and partial mastectomy, and the extent of axillary lymph node dissection, including sentinel lymph node biopsy.

[0003] Additionally, as the shoulder range of motion is reduced, the strength of the arm and grip strength of the hand, which are normally connected to the shoulder, are also weakened.

[0004] Grip strength is an important indicator of upper limb function (arms) or improvement in symptoms after thoracic surgery. The sooner a person recovers, the better, allowing for a quicker return to daily life. Grip strength tests include shoulder adduction, 90-degree elbow flexion, and neutral forearm position.

[0005] That is, since the angle of the shoulder is important in measuring grip strength, the need for rehabilitation for the limitation of shoulder range of motion in patients with thoracic diseases arises.

[0006] The recovery rate and effectiveness of these strength training exercises may vary for each patient due to patient factors, medical institution factors, and socioeconomic factors.

[0007] However, existing grip strength exercises, which use proprioceptive neuromuscular facilitation and elastic bands, have the disadvantages of not being standardized in exercise intensity or shoulder range of motion for each patient, not being able to measure compliance data indicating whether the set amount of exercise is maintained, and not being able to make differential measurements according to the individual clinical situations of patients (e.g., differences in muscle strength, flexibility, age, etc.).

[0008] Therefore, there is an emerging need for an invention that prescribes a customized shoulder rehabilitation exercise program suitable for the patient's condition and determines the patient's degree of improvement based on compliance data measured by a digital grip dynamometer.

[0009] The present invention has been devised to solve the problems of the prior art as described above, and its purpose is to provide a method and system for prescribing customized shoulder rehabilitation exercise based on an IoT-based digital grip dynamometer that objectively indicates improvement or deterioration of grip strength according to grip strength exercise before and after surgery of a patient.

[0010] In addition, the present invention seeks to provide a method and system for prescribing customized shoulder rehabilitation exercise based on an IoT-based digital grip dynamometer that generates a customized shoulder rehabilitation exercise program of an intensity suitable for each patient and the patient's environment and updates the program configuration after surgery.

[0011] In addition, the present invention seeks to provide a method and system for prescribing customized shoulder rehabilitation exercise based on an IoT-based digital grip dynamometer that provides an alarm to a guardian and medical personnel managing a patient when a patient performs an exercise program based on the digital grip dynamometer.

[0012] However, the technical problems to be solved by the present invention and embodiments of the present invention are not limited to the technical problems described above, and other technical problems may exist.

[0013] A method for prescribing customized shoulder rehabilitation exercise based on an IoT-based digital grip dynamometer according to an embodiment of the present invention is a method for providing a customized exercise prescription service by a healthcare application executed by at least one processor of a terminal, the method comprising: a step of obtaining a basic grip strength and a basic angle at a time point before surgery and performing an initial setting; a step of obtaining a first grip strength and a first angle at a first time point after surgery; a step of generating a first exercise program based on the obtained basic grip strength and first grip strength, and the basic angle and the first angle; a step of obtaining a first exercise dataset for the first exercise program at a second time point that is a predetermined time point after starting to perform the first exercise program; a step of generating exercise result content for the obtained first exercise dataset; and a step of generating a second exercise program that changes the configuration of the first exercise program based on the obtained first exercise dataset.

[0014] In addition, the step of performing the initial setting includes a step of obtaining patient basic information including at least one of the patient's gender, age, occupation, lifestyle pattern, presence of diabetes, presence of peripheral vascular disease, presence of hemiplegia, presence of severe underlying disease, presence of osteoarthritis, and presence of obesity, and a step of obtaining patient surgery information including at least one of the patient's surgical scope and whether or not to undergo anticancer treatment.

[0015] In addition, the step of obtaining the patient basic information and the patient surgical information includes the step of classifying the patient into at least one of a general group category and a high-risk group category, and the step of extracting a pre-surgical exercise program set for the classified category.

[0016] In addition, the step of generating the first exercise program includes a step of calculating a reference grip strength based on the basic grip strength and the first grip strength, a step of calculating a reference angle based on the basic angle and the first angle, and a step of setting the reference grip strength and the reference angle to the extracted exercise program.

[0017] In addition, the step of generating the first exercise program is a step of generating a first exercise program composed of records including at least one of exercise time, exercise frequency, exercise maintenance time, exercise part, and set information, and includes a step of quantifying shoulder angle exercise for each record based on a shoulder angle exercise quantification formula, and a step of calculating compliance data based on the quantified shoulder angle exercise.

[0018] In addition, the step of quantifying the shoulder angle movement is based on the angle and grip strength measured when the angle is changed while pressing the digital grip dynamometer.

[0019] In addition, the step of acquiring the first exercise dataset is a step of acquiring a first exercise dataset including at least one of grip strength data including all grip strength values, average grip strength values, and maximum grip strength values ​​measured while performing the first exercise program, angle data including all angle values, average angle values, and maximum angle values ​​measured while performing the first exercise program, individual compliance data calculated for each record included in the first exercise program, comprehensive compliance data calculated for all records included in the first exercise program, compliance data including exercise refractory events, and lap data including blood vessel thickness information.

[0020] In addition, the step of acquiring the first exercise data set further includes a step of providing a predetermined real-time feedback to at least one of the terminal and a digital grip dynamometer linked to the terminal, when the grip strength value measured in real time deviates from the reference grip strength preset in the first exercise program by an error range outside the error range, or the angle value measured in real time deviates from the reference angle preset in the first exercise program by an error range outside the error range.

[0021] In addition, the step of generating the exercise result content further includes a step of sharing the generated exercise result content with at least one of a patient terminal, a professional terminal, and a guardian terminal, and a step of changing information displayed on the shared exercise result content depending on the subject of the terminal.

[0022] In addition, the step of generating the second exercise program includes a step of changing at least one of the exercise frequency and exercise maintenance time set in the first exercise program based on the compliance data, and a step of changing at least one of the reference grip strength and reference angle set in the first exercise program based on the grip strength data and the angle data.

[0023] In addition, a method for prescribing customized shoulder rehabilitation exercise based on an IoT-based digital grip dynamometer according to an embodiment of the present invention further includes a step of acquiring an nth exercise dataset for an nth exercise program at an n+1th time point, a step of generating an n+1th exercise program by changing the configuration of the nth exercise program based on the acquired nth exercise dataset, and a step of generating the n+1th exercise program by repeating it at the n+1th time point for a preset number of times.

[0024] Meanwhile, a system for prescribing customized shoulder rehabilitation exercise based on an IoT-based digital grip dynamometer according to an embodiment of the present invention comprises: a digital grip dynamometer including a grip strength input unit and an angle measurement unit; at least one application, which is linked to the digital grip dynamometer and includes at least one memory and at least one processor, and which is stored in the memory and executed by the processor to provide a customized exercise prescription service, wherein the at least one application acquires a basic grip strength and a basic angle based on the digital grip dynamometer at a time point before surgery and performs an initial setting; acquires a first grip strength and a first angle based on the digital grip dynamometer at a first time point after surgery; generates a first exercise program based on the acquired basic grip strength and first grip strength, and the basic angle and the first angle; acquires a first exercise dataset for the first exercise program at a second time point, which is a predetermined time point after starting to perform the first exercise program; generates exercise result content for the acquired first exercise dataset; and generates a second exercise program in which a configuration of the first exercise program is changed based on the acquired first exercise dataset.

[0025] The method and system for prescribing customized shoulder rehabilitation exercise based on an IoT-based digital grip dynamometer according to an embodiment of the present invention objectively indicates the improvement or deterioration of grip strength according to grip strength exercise before and after surgery of the patient, thereby enabling the patient to directly check the effect of rehabilitation exercise to see how quickly and how much improvement occurred, thereby enhancing the patient's will to rehabilitate, and thereby increasing the post-surgical recovery rate.

[0026] In addition, the method and system for prescribing customized shoulder rehabilitation exercise based on an IoT-based digital grip dynamometer according to an embodiment of the present invention has the effect of dramatically increasing the time / procedural economy required to design an individual exercise program each time according to the individual characteristics of the patient and / or the post-operative progress by creating a customized shoulder rehabilitation exercise program of an intensity suitable for each patient and the patient's environment and updating the program configuration after surgery.

[0027] In addition, the method and system for prescribing customized shoulder rehabilitation exercise based on an IoT-based digital grip dynamometer according to an embodiment of the present invention provides an alarm to a guardian and medical personnel managing the patient when the patient performs an exercise program based on the digital grip dynamometer, thereby enabling the guardian and medical personnel to monitor the patient in real time and respond immediately, and has the effect of facilitating care for the patient's disease.

[0028] However, the effects that can be obtained from the present invention are not limited to the effects mentioned above, and other effects that are not mentioned can be clearly understood from the description below.

[0029] Figure 1 is a conceptual diagram of a customized exercise prescription service provision system according to an embodiment of the present invention.

[0030] Figure 2 is an internal block diagram of a terminal according to an embodiment of the present invention.

[0031] FIG. 3 is a flowchart illustrating a method for prescribing customized shoulder rehabilitation exercise based on a digital grip dynamometer according to an embodiment of the present invention.

[0032] FIG. 4 is an example of a drawing for explaining the basic angles of a patient measured in various postures according to an embodiment of the present invention.

[0033] FIG. 5 is an example of a drawing for explaining at least one time point before and after surgery according to an embodiment of the present invention.

[0034] FIG. 6 is an example of a drawing for explaining an exercise program according to an embodiment of the present invention.

[0035] Figure 7 is an example of exercise result content according to an embodiment of the present invention.

[0036] Figures 8 and 9 are examples of graphs visualizing compliance data for each record included in an exercise program according to an embodiment of the present invention.

[0037] The present invention is capable of various modifications and embodiments. Therefore, specific embodiments are illustrated in the drawings and described in detail in the detailed description. The effects and features of the present invention, as well as the methods for achieving them, will become clear with reference to the embodiments described in detail below together with the drawings. However, the present invention is not limited to the embodiments disclosed below and can be implemented in various forms. In the following embodiments, the terms "first," "second," etc. are not used in a limiting sense but are used for the purpose of distinguishing one component from another. Furthermore, the singular expression includes the plural expression unless the context clearly indicates otherwise. Furthermore, terms such as "include" or "have" indicate the presence of a feature or component described in the specification, and do not preemptively exclude the possibility that one or more other features or components may be added. Furthermore, in the drawings, the sizes of components may be exaggerated or reduced for convenience of explanation. For example, the size and thickness of each component shown in the drawings are arbitrarily shown for convenience of explanation, and thus the present invention is not necessarily limited to what is shown.

[0038] Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings. When describing with reference to the drawings, identical or corresponding components are given the same drawing reference numerals, and redundant descriptions thereof will be omitted.

[0039]

[0040] Figure 1 is a conceptual diagram of a customized exercise prescription service provision system according to an embodiment of the present invention.

[0041] Referring to FIG. 1, a customized exercise prescription service provision system (hereinafter, “service provision system”) according to an embodiment of the present invention can provide a customized exercise prescription service (hereinafter, “customized exercise prescription service”) that designs and prescribes a customized shoulder rehabilitation exercise program suitable for a patient’s condition based on an IoT-based digital grip dynamometer, and manages the rehabilitation of a patient who has undergone arm surgery based on compliance data measured by the digital grip dynamometer.

[0042] In detail, the service provision system according to the embodiment can provide a customized exercise prescription service for the purpose of performing shoulder rehabilitation exercise to improve arm muscle strength and grip strength by deriving a shoulder angle suitable for a patient with a limited shoulder range of motion due to thoracic diseases including shoulder joint, breast cancer, lung disease, heart disease, etc., and expanding the shoulder range of motion after surgery by using the patient's grip strength at the angle.

[0043] The appropriate shoulder angle for the above patient is differentially set based on the patient's basic information (e.g., age, underlying disease, surgical site (range), etc.), and may be changed several times depending on the patient's compliance with the exercise program, the patient's shoulder range of motion angle measured during the exercise program, etc., rather than a specific angle. Typically, the shoulder range of motion can increase as the exercise program progresses.

[0044] In an embodiment, a service providing system implementing a customized exercise prescription service as described above may be connected through a digital grip dynamometer (DG), a terminal (100), a central server (200), and a network (10: Network).

[0045] Here, the network (10) according to the embodiment means a connection structure that enables information exchange between each node, such as a digital dynamometer (DG), a terminal (100), and a central server (200), and examples of such a network (10) include, but are not limited to, a 3GPP (3rd Generation Partnership Project) network, an LTE (Long Term Evolution) network, a WIMAX (World Interoperability for Microwave Access) network, the Internet, a LAN (Local Area Network), a Wireless LAN (Wireless Local Area Network), a WAN (Wide Area Network), a PAN (Personal Area Network), a Bluetooth network, a satellite broadcasting network, an analog broadcasting network, a DMB (Digital Multimedia Broadcasting) network, etc.

[0046] Hereinafter, the digital dynamometer (DG), terminal (100), and central server (200) that implement the service provision system will be described in detail with reference to the attached drawings.

[0047]

[0048] -Digital Grip Dynamometer (DG)

[0049] Here, the digital grip dynamometer (DG) may be a digital grip dynamometer (DG) having a structure capable of detecting various inputs of a patient related to a customized exercise prescription service.

[0050] In an embodiment, the digital grip dynamometer (DG) is a digital grip dynamometer (DG) equipped with IoT (Internet of Things) technology, and may be a medical device used by a patient who has undergone a specific surgical operation affecting the shoulder area among body parts.

[0051] For example, a digital grip dynamometer (DG) can be used by patients with thoracic diseases, including shoulder joint disease, breast cancer, lung disease, and heart disease. The following description will be based on the assumption that the patient in the example has undergone breast cancer surgery.

[0052] That is, the digital grip dynamometer (DG) according to the embodiment is not simply a tool for measuring grip strength, but can play a role in assisting with rehabilitation of the patient's shoulder area and assisting in managing the patient's health by determining the degree of improvement based on the patient's grip strength and shoulder angle measured before and after surgery.

[0053] In detail, in an embodiment, a digital grip dynamometer (DG) may include a grip strength input unit for measuring a patient's grip strength (grip strength). In this case, the grip strength input unit may include a pressure measuring unit pressure sensor for measuring pressure.

[0054] Accordingly, the digital grip dynamometer (DG) can measure the intensity of pressure applied by the patient's hand when holding the grip input unit and / or the time for which pressure is applied.

[0055] Additionally, the digital grip dynamometer (DG) may include an angle measuring unit for measuring the angle of a patient's arm. The angle measuring unit may include a predetermined gyro sensor.

[0056] Accordingly, the digital grip dynamometer (DG) can measure the angle at which the patient's grip strength is measured using the grip strength input unit. At this time, the angle at which the grip strength is measured can be preset.

[0057] In an embodiment, a digital grip dynamometer (DG) can obtain grip strength data at a predetermined angle based on the grip strength input unit and angle measurement unit.

[0058] For example, a digital grip dynamometer (DG) can obtain grip strength data when the patient is seated and the arm is at an angle of 0, 45, and 90 degrees, and when the patient is lying down and the arm is at an angle of 0, 45, and 90 degrees. The reason for obtaining grip strength data at each angle is because the pressure applied to the patient's arm blood vessels varies depending on the patient's posture and the position of the patient's arm relative to the heart.

[0059] Additionally, in one embodiment, a digital grip dynamometer (DG) can be coupled with a blood pressure monitor to determine the first angle with the smallest error from normal blood pressure values ​​among grip strength data at each angle. Thereafter, a predetermined guidance guide can be provided to the patient to help them obtain grip strength data at the first angle.

[0060] Additionally, in the embodiment, the digital grip dynamometer (DG) can output predetermined data measured based on the grip strength input unit to a display included in the digital grip dynamometer (DG).

[0061] In addition, in the embodiment, the digital grip dynamometer (DG) can transmit and receive in real time with the linked patient terminal (100-1) and transmit predetermined data measured based on the grip strength input unit.

[0062] In the example embodiment, the user can perform grip strength exercises for a predetermined period of time (e.g., 8 weeks) before and after surgery based on the digital grip dynamometer (DG).

[0063] This digital grip dynamometer (DG) is linked to a terminal (100) (in an embodiment, a patient terminal (100-1)) and can transmit and receive grip strength data measured by the digital grip dynamometer (DG) and monitoring-related predetermined alarms generated by the terminal (100).

[0064]

[0065] -Terminal (100: Terminal)

[0066] A terminal (100) according to an embodiment of the present invention may be a predetermined computing device on which a health management application (hereinafter, “application”) providing a customized exercise prescription service is installed.

[0067] Here, the application according to the embodiment can be divided into an application for patients, an application for professionals, and / or an application for caregivers.

[0068] At this time, the applications for patients, experts, and guardians may be designed to perform different functional operations by distinguishing a single application or user entity.

[0069] That is, the above patient, expert and guardian applications may be designed to grant different permissions and operate differently depending on the accounts of a single application or expert (e.g., a doctor), patient and guardian.

[0070] Additionally, the application for patients, experts, and guardians may be a medication management platform that provides an Internet environment so that multiple patients, experts, and guardians can use a customized exercise prescription service.

[0071] Returning to the above, in the embodiment, the terminal (100) having the above healthcare application installed may include a patient terminal (100-1) used by a patient, a specialist terminal (100-2) used by a specialist (in the embodiment, a doctor), and a guardian terminal (100-3) used by a guardian.

[0072] In an embodiment, the patient terminal (100-1) may have the patient health management application installed, the expert terminal (100-2) may have the expert health management application installed, and the guardian terminal (100-3) may have the guardian health management application installed.

[0073] Here, the patient terminal (100-1), expert terminal (100-2), and guardian terminal (100-3) are intended to distinguish the user in the embodiment, and their components and functional operations may be the same.

[0074] Additionally, in the embodiment, the patient terminal (100-1) may include a predetermined digital grip dynamometer (DG) used by the patient and / or a patient's mobile phone linked to the digital grip dynamometer (DG).

[0075] In the following, for convenience of explanation, the patient terminal (100-1), expert terminal (100-2), and guardian terminal (100-3) are described as mobile type computing devices.

[0076] In detail, from a hardware perspective, the terminal (100) may include a mobile type computing device (101) and / or a desktop type computing device (102) on which an application is installed.

[0077] Here, the mobile type computing device (101) may be a mobile device such as a smart phone or tablet PC on which an application is installed.

[0078] For example, mobile type computing devices (101) may include smart phones, mobile phones, digital broadcasting devices, personal digital assistants (PDAs), portable multimedia players (PMPs), tablet PCs, etc.

[0079] In addition, the desktop type computing device (102) may include a device installed with a program for executing a customized exercise prescription service based on wired / wireless communication, such as a personal computer such as a fixed desktop PC, laptop computer, or ultrabook with an application installed.

[0080] Additionally, depending on the embodiment, the terminal (100) may further include a server computing device that provides a customized exercise prescription service environment.

[0081] Figure 2 is an internal block diagram of a terminal according to an embodiment of the present invention.

[0082] Referring to FIG. 2, from a functional perspective, the terminal (100) may include a memory (110), a processor assembly (120), a communication processor (130), an interface module (140), an input system (150), a sensor system (160), and a display system (170). These components may be configured to be included within the housing of the terminal (100).

[0083] In detail, in the memory (110), an application (111) is stored, and the application (111) can store one or more of various application programs, data, and commands for providing a customized exercise prescription service environment.

[0084] That is, the memory (110) can store commands and data that can be used to create a customized exercise prescription service environment.

[0085] Additionally, the memory (110) may include a program area and a data area.

[0086] Here, the program area according to the embodiment can be linked between the operating system (OS) that boots the terminal (100) and functional elements, and the data area can store data generated according to the use of the terminal (100).

[0087] Additionally, the memory (110) may include at least one non-transitory computer-readable storage medium and one or more temporary computer-readable storage medium.

[0088] For example, the memory (110) may be a variety of storage devices such as a ROM, EPROM, flash drive, hard drive, etc., and may include web storage that performs the storage function of the memory (110) on the Internet.

[0089] The processor assembly (120) may include at least one processor capable of executing commands of an application (111) stored in the memory (110) to perform various tasks for creating a customized exercise prescription service environment.

[0090] In an embodiment, the processor assembly (120) can control the overall operation of the components through an application (111) of the memory (110) to provide a customized exercise prescription service.

[0091] This processor assembly (120) may be a system on chip (SOC) suitable for a terminal (100) including a central processing unit (CPU) and / or a graphics processing unit (GPU), and may execute an operating system (OS) and / or application programs stored in a memory (110) and control each component mounted on the terminal (100).

[0092] Additionally, the processor assembly (120) can communicate with each component internally via a system bus and can include one or more predetermined bus structures including a local bus.

[0093] Additionally, the processor assembly (120) may be implemented by including at least one of application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, micro-controllers, microprocessors, and other electrical units for performing functions.

[0094] The communication processor (130) may include one or more devices for communicating with external devices. The communication processor (130) may communicate via a wireless network.

[0095] In detail, the communication processor (130) can communicate with a terminal (100) that stores a content source for implementing a customized exercise prescription service environment, and can communicate with various user input components, such as a controller that receives user input.

[0096] In an embodiment, the communication processor (130) can transmit and receive various data related to a customized exercise prescription service to and from another terminal (100) and / or an external server.

[0097] This communication processor (130) can wirelessly transmit and receive data with at least one of a base station, an external terminal, and an arbitrary server on a mobile communication network constructed through a communication device capable of performing technical standards or communication methods for mobile communication (e.g., LTE (Long Term Evolution), LTE-A (Long Term Evolution-Advanced), 5G NR (New Radio), WIFI) or short-range communication methods.

[0098] The interface module (140) can communicatively connect the terminal (100) to one or more other devices. In detail, the interface module (140) can include wired and / or wireless communication devices compatible with one or more different communication protocols.

[0099] Through this interface module (140), the terminal (100) can be connected to multiple input / output devices.

[0100] For example, the interface module (140) can be connected to an audio output device such as a headset port or speaker to output audio.

[0101] As an example, the audio output device is described as being connected via an interface module (140), but an embodiment in which it is installed inside the terminal (100) may also be included.

[0102] Additionally, for example, the interface module (140) may be connected to an input device such as a keyboard and / or mouse to obtain user input.

[0103] Such an interface module (140) may be configured to include at least one of a wired / wireless headset port, an external charger port, a wired / wireless data port, a memory card port, a port for connecting a device equipped with an identification module, an audio I / O (Input / Output) port, a video I / O (Input / Output) port, an earphone port, a power amplifier, an RF circuit, a transceiver, and other communication circuits.

[0104] The input system (150) can detect user input (e.g., gestures, voice commands, button operations, or other types of input) related to the personalized exercise prescription service.

[0105] In detail, the input system (150) may include a predetermined button, a touch sensor, and / or an image sensor (161) that receives user motion input.

[0106] Additionally, the input system (150) can be connected to an external controller through an interface module (140) to receive user input.

[0107] The sensor system (160) may include various sensors such as an image sensor (161), a position sensor (IMU, 163), an audio sensor (165), a distance sensor, a proximity sensor, and a contact sensor.

[0108] Here, the image sensor (161) can capture images and / or videos of the physical space around the terminal (100).

[0109] In an embodiment, the image sensor (161) can capture and acquire various images and / or videos related to a customized exercise prescription service.

[0110] In addition, the image sensor (161) can capture an image by photographing the direction in which it is positioned on the front or / and rear of the terminal (100), and can capture a physical space through a camera positioned toward the outside of the terminal (100).

[0111] This image sensor (161) may include an image sensor device and an image processing module. In detail, the image sensor (161) may process still images or moving images obtained by an image sensor device (e.g., CMOS or CCD).

[0112] In addition, the image sensor (161) can process still images or moving images acquired through the image sensor device using an image recognition process (e.g., OCR, etc.) and / or an image processing module to extract necessary information and transmit the extracted information to the processor.

[0113] Such an image sensor (161) may be a camera assembly including at least one camera. The camera assembly may include a general camera that captures images in the visible light band, and may further include special cameras such as an infrared camera or a stereo camera.

[0114] In addition, the image sensor (161) as described above may be included in the terminal (100) and operated according to an embodiment, or may be included in an external device (e.g., an external server, etc.) and operated through linkage based on the communication processor (130) and / or interface module (140) described above.

[0115] The position sensor (IMU, 163) can detect at least one of the movement and acceleration of the terminal (100). For example, it can be formed by a combination of various position sensors such as an accelerometer, a gyroscope, and a magnetometer.

[0116] Additionally, the position sensor (IMU, 163) can recognize spatial information about the physical space around the terminal (100) by working in conjunction with a position communication processor (130), such as the GPS of the communication processor (130).

[0117] The audio sensor (165) can recognize sounds around the terminal (100).

[0118] In detail, the audio sensor (165) may include a microphone capable of detecting voice input from a user using the terminal (100).

[0119] In an embodiment, the audio sensor (165) can receive voice data required for a customized exercise prescription service from a user.

[0120] The display system (170) can output various information related to the customized exercise prescription service as graphic images.

[0121] As an example, the display system (170) can display various user interfaces (e.g., a health management interface, etc.) for a customized exercise prescription service.

[0122] Such displays may include at least one of a liquid crystal display (LCD), a thin film transistor-liquid crystal display (TFT LCD), an organic light-emitting diode (OLED), a flexible display, a 3D display, and an e-ink display.

[0123] The above components may be arranged within the housing of such a terminal (100), and the user interface may include a touch sensor (173) on a display (171) configured to receive user touch input.

[0124] In detail, the display system (170) may include a display (171) that outputs an image and a touch sensor (173) that detects a user's touch input.

[0125] For example, the display (171) may be implemented as a touch screen by forming a mutual layer structure with the touch sensor (173) or forming an integral structure. Such a touch screen may function as a user input unit that provides an input interface between the terminal (100) and the user, and at the same time, provide an output interface between the terminal (100) and the user.

[0126] The terminal (100) including the above-described components may store at least one basic grip strength, patient basic information, category, nth time point, nth grip strength, nth exercise program, record, nth exercise data set (compliance data, grip strength data, lap data), real-time guide and / or exercise result content in the memory (110) according to an embodiment.

[0127] Meanwhile, depending on the embodiment, the terminal (100) may further perform at least some of the functional operations performed by the central server (200) described below.

[0128]

[0129] -Central Server (200: Central Server)

[0130] Meanwhile, the central server (200) according to an embodiment of the present invention can perform a series of processes to provide a customized exercise prescription service.

[0131] In detail, in an embodiment, the central server (200) can provide the customized exercise prescription service by exchanging data necessary to enable the customized exercise prescription service process to be run on an external device such as a terminal (100) with the external device.

[0132] In more detail, in an embodiment, the central server (200) may provide an environment in which an application (111) can operate on an external device (in an embodiment, a mobile type computing device (101) and / or a desktop type computing device (102)).

[0133] To this end, the central server (200) may include application programs, data and / or commands for the application (111) to operate, and may transmit and receive various data based thereon with the external device.

[0134] Additionally, in the embodiment, the central server (200) can perform various deep learning for a customized exercise prescription service in conjunction with a deep learning neural network.

[0135] Here, the deep learning neural network according to the embodiment may include a convolutional neural network (CNN), an R-CNN (Regions with CNN features), a Fast R-CNN, a Faster R-CNN, a Mask R-CNN, etc., and may include any deep learning neural network that includes an algorithm capable of performing the embodiment described below, and the embodiment of the present invention does not limit or restrict such deep learning neural network itself.

[0136] At this time, depending on the embodiment, the deep learning neural network may be installed directly in the central server (200) or may operate as a device separate from the central server (200) to perform deep learning for the customized exercise prescription service.

[0137] In the following examples, an example is described in which a deep learning neural network is directly installed on a central server (200) to perform deep learning.

[0138] In addition, in the embodiment, the central server (200) can read out a predetermined deep learning neural network driving program constructed to perform the deep learning from memory and perform the deep learning described below according to the read out predetermined deep learning neural network system.

[0139] Additionally, in the embodiment, the central server (200) can store and manage various application programs, commands and / or data for implementing a customized exercise prescription service.

[0140] In an embodiment, the central server (200) can store and manage basic grip strength, patient basic information, categories, nth time point, nth grip strength, nth exercise program, records, nth exercise dataset (compliance data, grip strength data, lap data), real-time guide, exercise result content, and / or health management interface, etc.

[0141] However, in the embodiment of the present invention, the functional operations that the central server (200) can perform are not limited to those described above, and other functional operations can be performed.

[0142] Meanwhile, referring further to FIG. 1, in the embodiment, the central server (200) as described above may be implemented as a computing device including at least one processor module (210: Processor Module) for data processing, at least one communication module (220: Communication Module) for data exchange with an external device, and at least one memory module (230: Memory Module) for storing various application programs, data, and / or commands for providing a customized exercise prescription service.

[0143] Here, the memory module (230) can store one or more of an operating system (OS), various application programs, data, and commands for providing a customized exercise prescription service.

[0144] Additionally, the memory module (230) may include a program area and a data area.

[0145] Here, the program area according to the embodiment may be linked between the operating system (OS) that boots the server and functional elements, and the data area may store data generated according to the use of the server.

[0146] In an embodiment, such a memory module (230) may be a variety of storage devices such as ROM, RAM, EPROM, flash drive, hard drive, etc., and may also be a web storage that performs the storage function of the memory module (230) on the Internet.

[0147] Additionally, the memory module (230) may be a removable recording medium on the server.

[0148] Meanwhile, the processor module (210) can control the overall operation of each unit described above in order to implement a customized exercise prescription service.

[0149] This processor module (210) may be a system on chip (SOC) suitable for a server including a central processing unit (CPU) and / or a graphics processing unit (GPU), and may execute an operating system (OS) and / or application programs stored in a memory module (230) and control each component mounted on the server.

[0150] In addition, the processor module (210) can communicate with each component internally via a system bus and can include one or more predetermined bus structures including a local bus.

[0151] Additionally, the processor module (210) may be implemented using at least one of application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, micro-controllers, microprocessors, and other electrical units for performing functions.

[0152] In the above description, it has been described that the central server (200) according to the embodiment of the present invention performs the functional operations as described above, but depending on the embodiment, at least a part of the functional operations performed by the central server (200) may be performed by an external device (e.g., terminal (100), etc.), and at least a part of the functional operations performed by the external device may be further performed by the central server (200), and various other embodiments may be possible.

[0153]

[0154] -A method for prescribing customized shoulder rehabilitation exercises based on a digital grip dynamometer.

[0155] Hereinafter, a method for prescribing customized shoulder rehabilitation exercise based on a digital grip dynamometer to provide a customized exercise prescription service by an application (111) executed by at least one processor of a terminal (100) according to an embodiment of the present invention will be described in detail with reference to the attached FIGS. 3 to 8.

[0156] In an embodiment of the present invention, at least one processor of the terminal (100) can execute at least one application (111) stored in at least one memory (110) or operate in a background state.

[0157] Hereinafter, the method of prescribing customized shoulder rehabilitation exercise based on the digital grip dynamometer described above by operating at least one processor to execute the command of the application (111) is briefly described as performed by the application (111).

[0158] FIG. 3 is a flowchart illustrating a method for prescribing customized shoulder rehabilitation exercise based on a digital grip dynamometer according to an embodiment of the present invention.

[0159] Referring to FIG. 3, in the embodiment, the application (111) can obtain the basic grip strength and basic angle at a time point prior to surgery. (S101)

[0160] In detail, in the embodiment, the application (111) can obtain the basic grip strength and basic angle at a time point prior to surgery and perform initial settings based on the obtained basic grip strength and basic angle.

[0161] In one embodiment, a patient may have their baseline grip strength and shoulder angle measured using a digital grip dynamometer prior to surgery (e.g., at a specific point in time prior to the patient undergoing surgery). In this embodiment, a specialist and / or guardian may provide guidance on how to measure grip strength and shoulder angle using a digital grip dynamometer.

[0162] Based on the terminal (100) linked to the above digital dynamometer, the application (111) in the embodiment can obtain the patient's basic grip strength and basic angle.

[0163] At this time, the basic grip strength may be the patient's grip strength measured in a normal state before surgery.

[0164] In addition, the above basic angle (unit: °, omitted below) may be an angle measured when the patient assumes a certain posture in a normal state before surgery.

[0165] FIG. 4 is an example of a drawing for explaining the basic angles of a patient measured in various postures according to an embodiment of the present invention. FIG. 4 illustrates the patient's head spot (1), shoulder spots (2a, 2b), and hand spots (3a, 3b). In addition, FIG. 4 (a) illustrates an attention posture, (b) an arms-outstretched posture, (c) a forward-side-by-side posture, and (d) a cheering posture.

[0166] In an embodiment, the basic angles may include a first basic angle when in an attention posture, a second basic angle when in an arms-outstretched posture, a third basic angle when in a forward-facing posture, and a fourth basic angle when in a cheering posture.

[0167] At this time, the first basic angle may be set to 0 degrees. In addition, the second to fourth basic angles (AN2, AN3, AN4) may be angles measured based on the first basic angle. That is, the second to fourth angles (AN2, AN3, AN4) may be measured as angles having a predetermined value. For example, the second basic angle and the third basic angle may be 90 degrees, and the fourth basic angle may be 180 degrees.

[0168] At this time, the first to fourth basic angles may differ for each patient depending on the patient's flexibility and / or range of motion.

[0169] Hereinafter, for convenience of explanation, the direction in which the patient moves the arm for the open-arm posture shown in (b) can be expressed as the side direction, and the direction in which the patient moves the arm for the forward-side-by-side posture shown in (c) can be expressed as the front direction.

[0170] That is, in the embodiment, the application (111) can obtain basic grip strength and basic angle by measuring grip strength and angle based on a digital grip dynamometer (DG) at a time point prior to surgery.

[0171] Additionally, in the embodiment, the application (111) can perform initial settings by obtaining patient basic information and / or patient surgical information at a time prior to surgery.

[0172] In an embodiment, patient basic information may include the patient's gender, age, occupation, underlying disease, etc.

[0173] Additionally, in the embodiment, patient surgical information may include the patient's surgical site (range) and whether or not anticancer treatment was administered. The surgical site may be determined to be bilateral and / or either left or right, depending on whether the surgical site is a total or partial resection.

[0174] At least one factor included in the above patient basic information may be a factor affecting the success rate of AVF maturation surgery.

[0175] In detail, the patient's age, gender, diabetes, peripheral vascular disease, hemiplegia, severe underlying medical conditions, osteoarthritis, and obesity can all affect the success rate of the surgery. Furthermore, the patient's occupation and lifestyle can also influence the success rate.

[0176] Additionally, in the embodiment, the application (111) can obtain further patient examination information by measuring blood circulation velocity, venous and arterial diameters (AVF maturation), and peak systolic velocity (PSV) of the artery through the Doppler Effect through a basic examination.

[0177] That is, in the embodiment, the application (111) can perform initial settings by inputting basic grip strength, basic angle, patient basic information, patient surgical information, and / or patient examination information. The initial settings performed in this manner can be reflected in the exercise program and exercise guide provided after the surgery.

[0178] Additionally, in the embodiment, the application (111) can classify the target patient into a predetermined category based on initially set information. For example, the categories may include a general group and a high-risk group.

[0179] Additionally, in the embodiment, the application (111) can preset a predetermined exercise program for each classified category. In this case, the exercise program may include a pre-operative exercise program and / or a post-operative exercise program.

[0180] A preoperative exercise program can be provided to ensure sufficient vascular maturation before surgery, thereby increasing the success rate and recovery rate of the surgery. A postoperative exercise program can be provided to facilitate postoperative rehabilitation and accelerate the recovery of existing grip strength. A detailed description of the exercise program will be provided later.

[0181] Additionally, in the embodiment, the application (111) can obtain the first grip strength at the first point in time after the surgery. (S103)

[0182] FIG. 5 is an example of a drawing for explaining at least one time point before and after surgery according to an embodiment of the present invention.

[0183] In an embodiment, the patient may undergo surgery at a predetermined time point after the pre-operative time point (300-P).

[0184] The first point in time (301) may be a point in time after a predetermined period of time has passed from the surgical point in time (300). In addition, the first grip strength may be the grip strength of the patient obtained (measured) at the first point in time (301). In addition, the first angle may be the shoulder angle of the patient obtained (measured) at the first point in time (301). The n-th angle measured below may be an angle measured in the front / side direction based on the first basic angle (e.g., 0 degrees).

[0185] The second point in time (302) may be a point in time after a predetermined period of time has elapsed from the first point in time (301). In addition, the second grip strength may be the grip strength of the patient obtained at the second point in time (302). In addition, the second angle may be the shoulder angle of the patient obtained at the second point in time (302).

[0186] Additionally, between the first time point (301) and the second time point (302), the patient according to the embodiment can perform the first exercise program.

[0187] Accordingly, the further away from the surgical time point (300), the higher the achievement rate (compliance data) for the exercise program performed for a predetermined period of time between each time point, the greater the value of the n-th grip strength and / or n-th angle.

[0188] Additionally, in an embodiment, the application (111) may provide a result (in an embodiment, an n-th exercise dataset) for the performance of the previous exercise program (n-th exercise program) at the n+1-th time point.

[0189] Additionally, in the embodiment, the application (111) can generate a first exercise program based on the acquired first grip strength and first angle. (S105)

[0190] In detail, in the embodiment, the application (111) can generate a first exercise program by calculating a reference grip force and a reference angle based on the acquired first grip force and first angle.

[0191]

[0192] *In an embodiment, the first exercise program may be an exercise program that provides shoulder rehabilitation exercise by applying pressure to a digital grip dynamometer to measure grip strength data and simultaneously lifting the arm to measure angle data.

[0193] Since measuring grip strength data and angle data simultaneously is more effective for rehabilitation than measuring only angle data, an exercise program such as the above can be provided.

[0194]

[0195] *This first exercise program can provide real-time feedback (guidance) if the measured grip strength and angle data deviate from the preset standard error range. The provided feedback may be a predetermined alarm for the digital grip dynamometer (DG) and / or the patient terminal (100-1).

[0196] Typically, the baseline grip strength is the grip strength in a normal state before surgery, and the first grip strength is the grip strength in a state that is below normal after surgery. Therefore, the value of the first grip strength will be lower than the baseline grip strength. Therefore, in the embodiment, the application (111) can calculate how much the first grip strength has decreased compared to the baseline grip strength, and set a reference grip strength by calculating the level of grip strength that the patient needs to train to help recover the grip strength.

[0197] Similarly, since the base angle is the shoulder angle in a normal state before surgery, and the first angle is the shoulder angle in a state that is less than normal after surgery, the value of the first angle will be smaller than the base angle. Therefore, in the embodiment, the application (111) can calculate how much the first angle has decreased compared to the base angle, and set a reference angle that calculates the angle at which the patient should perform range of motion training to help restore the shoulder range of motion.

[0198] That is, in the embodiment, the application (111) can generate a first exercise program that sets a reference grip strength and / or reference angle that is suitable for recovering the patient's grip strength and / or shoulder range of motion, and performs shoulder rehabilitation exercise with the set reference grip strength and / or reference angle.

[0199] At this time, the reference force and / or reference angle may be adjusted based on patient basic information, patient surgical information, and / or patient examination information. To this end, predetermined variable values ​​may be preset for each element constituting the three pieces of information.

[0200] In an embodiment, the application (111) can calculate the average of the basic grip strength (angle) and the first grip strength (angle). Furthermore, a predetermined variable value set above can be applied to the calculated average value to derive the final reference grip strength (angle). For example, if the age is 65 years or older, a variable value of *0.97 can be set, and accordingly, the reference grip strength (angle) can be lowered by a predetermined amount compared to the average value.

[0201] FIG. 6 is an example of a drawing for explaining an exercise program according to an embodiment of the present invention.

[0202] Referring to FIG. 6, in an embodiment, an application (111) can generate an exercise program (EP) including at least one record (401, 402).

[0203] An exercise program (EP) according to an embodiment may be a program in which exercise time, exercise frequency, exercise maintenance time (total exercise time), exercise location (part), and / or set information are preset based on a digital dynamometer.

[0204] At this time, one record included in the exercise program (EP) may include at least one field among exercise date and time, exercise frequency, exercise duration, exercise location, and set information. In other words, one record may represent a process that a patient must perform during one shoulder exercise session. One shoulder exercise session may include multiple sets.

[0205] These exercise programs can be tailored to each patient category. Typically, the frequency of exercise in a high-risk category's exercise program may be higher than that in a general patient category.

[0206] In an embodiment, the application (111) can extract a preset exercise program for each category of classified patients.

[0207] Additionally, in the embodiment, the application (111) can generate a first exercise program by setting a reference grip strength and a reference angle in the extracted exercise program.

[0208] At this time, the reference grip strength and reference angle set in the extracted exercise program may vary for each patient. Referring again to Figure 6, the reference angle (CA) may be set in the set information.

[0209] For example, an exercise program may be a program that performs shoulder exercises, based on a general patient who underwent breast cancer surgery, twice a day for 1 to 2 weeks after surgery, with 1 set of 45-degree forward lifting and 1 set of 45-degree side lifting, repeated n times for 30 minutes.

[0210] Additionally, for 2 to 4 weeks after surgery, an exercise program can be provided that consists of one set of lifting 45 to 100 degrees forward and one set of lifting 45 to 100 degrees sideways, twice a day, repeating one set n times for 30 minutes.

[0211] Additionally, at 4 to 6 weeks after surgery, an exercise program can be provided, consisting of 6 seconds of horizontal abduction while raising the body 90 degrees forward, 1 set of lifting the body more than 120 degrees forward, and 1 set of lifting the body more than 100 degrees sideways, repeated n times for 30 minutes, twice a day.

[0212] At this time, if the grip strength and / or shoulder angle measured each time the exercise program is performed increases beyond the error range, the application (111) in the embodiment can adjust the difficulty by increasing the reference grip strength and / or reference angle.

[0213] Additionally, if the exercise area is both arms, the patient can perform the exercise program by holding the digital grip dynamometer alternately in the left and right hands.

[0214] Additionally, shoulder exercise programs can include a variety of exercises, such as raising your arms forward / sideways while seated or standing, as well as lifting your arms while lying down, rowing, and rotating your arms clockwise / counterclockwise with your arms extended.

[0215] In other words, exercise programs for the general and high-risk groups will contain different records due to differences in exercise time, frequency, and duration. Furthermore, even for patients in the same category, the baseline grip strength and angle established in the exercise program will vary from patient to patient.

[0216] Accordingly, in the embodiment, the patient can perform exercise according to the first exercise program for a predetermined period of time.

[0217] Additionally, in the embodiment, the application (111) can obtain the first exercise dataset for the first exercise program at the second point in time. (S107)

[0218] The second time point may be a predetermined time after the first time point. In an embodiment, the patient may perform the first exercise program between the first time point and the second time point. In other words, the second time point may be a predetermined time after the start of performing the first exercise program.

[0219] Typically, the first grip strength and the first angle are the grip strength at the first point in time, which is closer to the surgery, and the second grip strength and the second angle are the grip strength and angle at the second point in time, which is a certain amount of time after the first point in time. Therefore, the value of the second grip strength (angle) will be greater than that of the first grip strength (angle).

[0220] Additionally, depending on how faithfully the first exercise program was performed, the value of the second grip strength (angle) may have increased significantly compared to the first grip strength (angle).

[0221] In other words, in the embodiment, the application (111) can perform exercise according to a first exercise program for a predetermined period of time from a first point in time, thereby obtaining a second grip strength, a second angle, and a first exercise dataset which is a result of the first exercise program at a second point in time after a predetermined period of time has elapsed from the first point in time.

[0222] In an embodiment, the exercise dataset may be a data set that includes the results of a patient performing exercise for a predetermined period of time according to an exercise program.

[0223] Such exercise datasets may include grip strength data, angle data, compliance data, and / or lap data.

[0224] Grip strength data may include all grip strength measurements taken while the patient was performing the first exercise program. This grip strength data may include average grip strength and / or peak grip strength. The following description will be based on the inclusion of second grip strength data.

[0225] The angle data may include all angle values ​​measured while the patient was performing the first exercise program. This angle data may include an average angle value and / or a peak angle value. The following description will be based on the inclusion of the second angle value in the angle data.

[0226] Compliance data may represent a patient's exercise program achievement rate. Additionally, compliance data may include individual and / or aggregate compliance data.

[0227] In an embodiment, the application (111) can extract the compliance data based on a momentum quantification formula.

[0228] The formula for quantifying shoulder angle exercise according to the embodiment is Angle × Frequency × Intensity, and the unit can be °kg / day.

[0229] Referring back to FIG. 6, in the embodiment, the application (111) can extract individual compliance data for each record (401, 402). The individual compliance data may be compliance data for one record.

[0230] That is, in the embodiment, the application (111) can extract individual compliance data for each record. In other words, each element of the above formula can mean the angle, number of times (assuming one round trip) and intensity of movement while pressing the digital grip dynamometer when measuring grip strength and angle while performing one record.

[0231] Additionally, in an embodiment, the application (111) may also quantify shoulder angular motion for each motion included in the set information of each record.

[0232] Referring back to FIG. 6, if the set information indicates a first set, the first set may include multiple movements. As illustrated, "1 round trip" is one movement, and these can be combined to form the first set, which includes "10 forward and back trips, 10 sideways and back trips." In other words, by quantifying the shoulder angular momentum for each first set, the number of movements accurately performed among the entire movement (a total of 20, including 10 forward and back trips and 10 sideways) can be calculated.

[0233] Accordingly, in the embodiment, the application (111) can calculate the shoulder angle momentum for the first record by calculating the momentum for the first action and the first set, and substitute it with individual compliance data.

[0234] Additionally, in the embodiment, the application (111) may obtain comprehensive compliance data by extracting an average of individual compliance data included in the first exercise program. The compliance data herein may refer to comprehensive compliance data.

[0235] These compliance data values ​​may increase as the exercise program's preset exercise time, frequency, duration, reference grip strength, and / or reference angle are successfully achieved. For example, if the program's suggested content is fully achieved, the compliance data may be 100%.

[0236] Accordingly, in the embodiment, the application (111) can extract compliance data by quantifying the amount of exercise performed in the first exercise program according to the exercise amount quantification formula. The compliance data thus extracted can be included in the first exercise dataset.

[0237] Meanwhile, in the embodiment, the application (111) can provide real-time guidance so that the patient can perform the first exercise program according to the preset values ​​of the program when performing the first exercise program. For example, if the patient measures data exceeding the error range from the reference grip strength and reference angle, the application (111) can output a predetermined alarm sound and text to the digital grip dynamometer to provide real-time feedback (guidance) so that the patient can increase the grip strength and angle.

[0238] The lap data may be data indicating the test results of an ultrasound examination conducted after performing an exercise program. For example, the lap data may include AVF maturation (vascular thickness) information. Furthermore, in one embodiment, the application (111) may calculate and determine the patient's improvement rate compared to before surgery based on the lap data. For example, since a thicker blood vessel indicates a greater improvement, if the vascular thickness information at the second time point increases in proportion to the vascular thickness information at the first time point, the improvement rate may increase.

[0239] In an embodiment, the application (111) can store the acquired second grip strength, second angle, and first motion dataset by matching them with the patient's basic information (gender, age, occupation, surgical site, and / or underlying disease, etc.).

[0240] Meanwhile, in the embodiment, the application (111) can set variable weights for the first exercise data set acquired through big data.

[0241] In detail, in the embodiment, the application (111) can convert the exercise time, exercise frequency, exercise maintenance time, reference grip strength, reference angle, and basic information of the patient matched therewith included in the first exercise dataset into big data.

[0242] Through this, in the embodiment, the application (111) can extract the first variable that has the most significant influence on a patient with a predetermined condition among each element included in the exercise dataset. Furthermore, in the embodiment, the application (111) can set a predetermined weight to the extracted first variable. Accordingly, in the embodiment, the application (111) can adjust the compliance data of the first exercise dataset based on the set variable weight.

[0243] Additionally, in the embodiment, the application (111) can generate and provide exercise result content for the acquired first exercise dataset. (S109)

[0244] In an embodiment, exercise result content may refer to data that displays the results of an exercise program performed by a patient over a predetermined period of time in the form of text, images, and / or video to the patient, a specialist, and / or a guardian. To this end, a healthcare interface may be provided to the patient, specialist, and / or guardian terminals (100-1, 100-2, 100-3).

[0245] Figure 7 is an example of exercise result content according to an embodiment of the present invention.

[0246] Referring to FIG. 7, in an embodiment, the application (111) can generate and provide exercise result content (500) including individual compliance data (511, 512), exercise non-compliance event (521), exercise compliance (522), and exercise result graph (530).

[0247] Individual compliance data (511, 512) may be data indicating each record provided as an exercise program and the patient's exercise achievement rate for that record. The exercise achievement rate may be expressed as a numeric value expressed as a percentage (%). This individual compliance data (511, 512) may be displayed sorted by date.

[0248] The exercise non-response event (521) indicates the number of records that the patient did not perform among the multiple records provided as an exercise program.

[0249] Exercise compliance (522) represents comprehensive compliance data obtained by extracting the average of individual compliance data included in the exercise program. Like the individual compliance data, this value may be expressed as a number in percentage (%).

[0250] The exercise result graph (530) may be a graph that visually represents the change trend of a patient's health-related dimensions according to the performance of an exercise program.

[0251] At this time, the exercise result graph (530) may display, for example, the average grip strength (angle) change trend, the maximum grip strength (angle) change trend, the blood vessel thickness change trend, the individual compliance change trend, etc.

[0252] Additionally, the exercise result content (500) may display different information depending on the subject of the terminal (100). Accordingly, the exercise result content (500) generated on the patient terminal (100-1) may be shared with the expert terminal (100-2) and / or the guardian terminal (100-3). As the exercise result content (500) is shared, the content included in the exercise result content (500) may change depending on the subject of each terminal (100).

[0253] For example, the patient terminal (100-1) may display information regarding guidance that the patient should perform to improve compliance data. Furthermore, the expert terminal (100-2) may display changes in lap data according to the exercise program performed by the patient. Furthermore, the caregiver terminal (100-3) may display information regarding specific actions that the caregiver can perform based on the patient's compliance data.

[0254] Additionally, in the embodiment, the application (111) can generate a second exercise program based on the first exercise dataset. (S111)

[0255] In detail, in the embodiment, the application (111) can generate a second exercise program that changes the configuration of the first exercise program based on the first exercise data set according to the performance of the first exercise program configured through the second grip strength and the second angle acquired at the second point in time.

[0256] The second exercise program according to the embodiment may be one that analyzes how much the various rehabilitation-related values ​​have changed as the patient performs the first exercise program, and changes the composition of the exercise program (for example, exercise time, exercise frequency, exercise maintenance time, reference grip strength, and / or reference angle) to maximize the effect of the exercise program.

[0257] In an embodiment, the application (111) can analyze compliance data included in the first exercise dataset to classify patients into a predetermined type.

[0258] Additionally, in the embodiment, the application (111) can change the configuration of the first exercise program according to a predetermined type and set it as a second exercise program.

[0259] Figures 8 and 9 are examples of graphs visualizing compliance data for each record included in an exercise program according to an embodiment of the present invention.

[0260] In an embodiment, the application (111) can extract and analyze compliance data for all records included in the patient's exercise program.

[0261] The above compliance data may have a lower value if at least one of the preset exercise time, exercise frequency, exercise duration, reference grip strength, and / or reference angle included in each record is not normally met.

[0262] In Fig. 8, a first record (401) and a second record (402) are illustrated. As illustrated in Fig. 8, a first type may appear in which an exercise program is started and performed normally for a predetermined period of time, but then the compliance value decreases after a certain point in time.

[0263] This first type may be characterized by low concentration or endurance, and thus, shortening the length (exercise duration) of the exercise program and increasing its frequency may be more effective. Therefore, in the embodiment, if the patient's compliance data is classified as the first type, the application (111) can adjust the duration of the first exercise program for the patient to decrease and the frequency of the exercise to generate a second exercise program.

[0264] In Fig. 9, the first to third records (401, 402, 403) are illustrated. As illustrated in Fig. 9, a second type may appear in which the exercise program is faithfully performed from the start to the end, but a record (exercise non-response event) that is not performed occurs.

[0265] This second type may have sufficient endurance / grip strength / shoulder range of motion, but may have difficulty performing frequent exercise programs. Therefore, increasing the length (exercise duration) of the exercise program and decreasing its frequency may be more effective. Therefore, in the embodiment, if the patient's compliance data is classified as the second type, the application (111) can generate a second exercise program by adjusting the duration of the first exercise program for the patient to be classified as the second type and decreasing the exercise frequency.

[0266] In addition, when the first and second types are shown in the patient, the application (111) in the embodiment can provide a predetermined notification to the patient terminal (100-1) and / or the guardian terminal (100-3) to cause the patient to perform an exercise program.

[0267] Additionally, in the embodiment, the application (111) may analyze the grip strength data, angle data and / or lap data included in the first exercise data set to change the configuration of the first exercise program and set it as a second exercise program.

[0268] In an embodiment, the application (111) can extract and analyze grip strength data, angle data, and / or lap data for all records included in the patient's exercise program.

[0269] At this time, the reference grip strength set for the second exercise program can be changed based on the highest grip strength value included in the grip strength data. For example, the reference grip strength for the second exercise program can be increased to record a higher grip strength value than the highest grip strength value for the first exercise program.

[0270] Additionally, the reference angle set for the second exercise program can be changed based on the highest angle value included in the angle data. For example, the reference angle for the second exercise program can be increased to record an angle with a higher value than the highest angle value for the first exercise program.

[0271] For example, if the highest angle value measured for a breast cancer patient in the first exercise program provided 1 to 2 weeks after surgery is 45 degrees, the reference angle may be changed to a value higher than 45 degrees in the second exercise program provided 2 to 3 weeks after surgery so that the patient exercises at an angle of 45 degrees or more.

[0272] Additionally, the reference grip strength set for the second exercise program can be changed based on the vascular thickness information included in the lab data. For example, if the vascular thickness information at the second time point rises below the reference value compared to the vascular thickness information at the first time point, the reference grip strength in the second exercise program can be increased to further strengthen the grip strength.

[0273] That is, in the embodiment, the application (111) can generate a second exercise program that changes the configuration of the first exercise program based on at least one of the grip strength data, angle data, compliance data, and / or lap data included in the first exercise data set.

[0274] Meanwhile, in the embodiment, the application (111) may perform steps S107 to S111 repeatedly in a preset number of times. For example, if one exercise program is performed on a weekly basis and the exercise program must be performed for a total of six weeks, steps S107 to S111 (hereinafter, “times”) may be performed repeatedly six times.

[0275] Referring again to FIG. 5, each time the above cycle is repeated, the application (111) in the embodiment can obtain the nth exercise dataset for the nth exercise program (i.e., the previous exercise program) at the n+1th time point.

[0276] That is, in the embodiment, the application (111) designs and prescribes a shoulder rehabilitation exercise program suitable for the patient, immediately reports the patient's exercise performance results to experts and guardians as visual data, and flexibly changes the exercise program according to changes in the patient's exercise performance and measurement (test) values, thereby reducing the time and economic burden of patient rehabilitation without requiring 1:1 resident personnel.

[0277]

[0278] Above, the method and system for prescribing customized shoulder rehabilitation exercise based on an IoT-based digital grip dynamometer according to an embodiment of the present invention objectively indicates the improvement or deterioration of grip strength according to grip strength exercise before and after surgery of the patient, thereby enabling the patient to directly check the effect of rehabilitation exercise to see how quickly and how much improvement occurred, thereby enhancing the patient's will to rehabilitate, and thereby increasing the post-surgical recovery rate.

[0279] In addition, the method and system for prescribing customized shoulder rehabilitation exercise based on an IoT-based digital grip dynamometer according to an embodiment of the present invention has the effect of dramatically increasing the time / procedural economy required to design an individual exercise program each time according to the individual characteristics of the patient and / or the post-operative progress by creating a customized shoulder rehabilitation exercise program of an intensity suitable for each patient and the patient's environment and updating the program configuration after surgery.

[0280] In addition, the method and system for prescribing customized shoulder rehabilitation exercise based on an IoT-based digital grip dynamometer according to an embodiment of the present invention provides an alarm to a guardian and medical personnel managing the patient when the patient performs an exercise program based on the digital grip dynamometer, thereby enabling the guardian and medical personnel to monitor the patient in real time and respond immediately, and has the effect of facilitating care for the patient's disease.

[0281] The embodiments of the present invention described above may be implemented in the form of program commands that can be executed through various computer components and recorded on a computer-readable recording medium. The computer-readable recording medium may include program commands, data files, data structures, etc., either singly or in combination. The program commands recorded on the computer-readable recording medium may be specially designed and configured for the present invention or may be known and available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical recording media such as CD-ROMs and DVDs, magneto-optical media such as floptical disks, and hardware devices specifically configured to store and execute program commands, such as ROMs, RAMs, and flash memories. Examples of program commands include not only machine language codes generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter, etc. Hardware devices may be changed into one or more software modules to perform processing according to the present invention, and vice versa.

[0282] The specific implementations described in the present invention are exemplary embodiments and do not limit the scope of the present invention in any way. For the sake of brevity, descriptions of conventional electronic components, control systems, software, and other functional aspects of the systems may be omitted. In addition, the lines connecting or connecting members between components illustrated in the drawings are merely representative of functional connections and / or physical or circuit connections, and may be replaced or represented as various additional functional connections, physical connections, or circuit connections in an actual device. In addition, unless specifically mentioned as “essential,” “important,” etc., a component may not be absolutely necessary for the application of the present invention.

[0283] Although the detailed description of the present invention has been described with reference to preferred embodiments of the present invention, it will be understood by those skilled in the art or having ordinary knowledge in the art that various modifications and changes can be made to the present invention without departing from the spirit and technical scope of the present invention as set forth in the claims below. Accordingly, the technical scope of the present invention should not be limited to the contents described in the detailed description of the specification, but should be defined by the claims.

[0284] The form for carrying out the invention is the same as the best form for carrying out the invention described above.

[0285] It has industrial applicability in that it can be widely used to improve the efficiency of rehabilitation treatment by prescribing a customized shoulder rehabilitation exercise program suitable for the patient's condition and to determine the patient's degree of improvement based on compliance data measured by a digital grip dynamometer, and to reduce manpower and costs and improve patient satisfaction in medical institutions and the healthcare industry as a whole.

Claims

1. A method for providing a customized exercise prescription service by a health management application executed by at least one processor of a terminal, A step of performing initial setting by obtaining basic grip strength and basic angle at the time of surgery; A step of obtaining the first grip strength and the first angle at the first point after surgery; A step of generating a first exercise program based on the obtained basic grip strength and first grip strength, and the basic angle and first angle; A step of acquiring a first exercise dataset for the first exercise program at a second point in time, which is a predetermined point in time after starting to perform the first exercise program; A step of generating exercise result content for the first exercise dataset acquired above; and A step of generating a second exercise program by changing the configuration of the first exercise program based on the first exercise data set obtained above; A method for prescribing customized shoulder rehabilitation exercises based on an IoT-based digital grip dynamometer.

2. In paragraph 1, The steps to perform the above initial settings are: A step of acquiring basic patient information including at least one of the patient's gender, age, occupation, lifestyle pattern, presence of diabetes, presence of peripheral vascular disease, presence of hemiplegia, presence of severe underlying disease, presence of osteoarthritis, and presence of obesity; Comprising a step of obtaining patient surgical information including at least one of the scope of the patient's surgery and whether or not the patient has undergone anticancer treatment. A method for prescribing customized shoulder rehabilitation exercises based on an IoT-based digital grip dynamometer.

3. In paragraph 2, The step of obtaining the above patient basic information and the above patient surgical information is as follows: A step of classifying the above patient into at least one of the general group category and the high-risk group category, A step of extracting a pre-operative exercise program set in the above classified categories. A method for prescribing customized shoulder rehabilitation exercises based on an IoT-based digital grip dynamometer.

4. In paragraph 3, The step of generating the above first exercise program is: A step of calculating a reference grip strength based on the above basic grip strength and the first grip strength, A step of calculating a reference angle based on the above basic angle and the first angle, and A step of setting the reference grip strength and the reference angle in the above extracted exercise program. A method for prescribing customized shoulder rehabilitation exercises based on an IoT-based digital grip dynamometer.

5. In paragraph 4, The step of generating the above first exercise program is: A step for generating a first exercise program consisting of a record including at least one of exercise time, exercise frequency, exercise duration, exercise part, and set information, A step of quantifying the shoulder angle momentum for each record based on the shoulder angle momentum quantification formula, A step of calculating compliance data based on the quantified shoulder angle movement amount is included. A method for prescribing customized shoulder rehabilitation exercises based on an IoT-based digital grip dynamometer.

6. In paragraph 5, The step of quantifying the above shoulder angle movement amount is: Based on the angle and grip strength measured when changing the angle while pressing the digital dynamometer A method for prescribing customized shoulder rehabilitation exercises based on an IoT-based digital grip dynamometer.

7. In paragraph 6, The step of obtaining the above first exercise dataset is: Grip strength data including all grip strength values, average grip strength value, and maximum grip strength value measured while performing the above first exercise program, Angle data including all angle values, average angle value and maximum angle value measured while performing the above first exercise program, Compliance data including individual compliance data calculated for each record included in the first exercise program, comprehensive compliance data calculated for all records included in the first exercise program, and exercise non-compliance events; and A step of obtaining a first exercise dataset including at least one of the lap data including blood vessel thickness information. A method for prescribing customized shoulder rehabilitation exercises based on an IoT-based digital grip dynamometer.

8. In paragraph 7, The step of obtaining the above first exercise dataset is: If the grip strength value measured in real time deviates from the standard grip strength set in the first exercise program by a margin of error, If the above angle value measured in real time deviates from the reference angle set in the first exercise program by an error range outside the above range, Further comprising a step of providing a predetermined real-time feedback to at least one of the terminal and a digital dynamometer linked to the terminal. A method for prescribing customized shoulder rehabilitation exercises based on an IoT-based digital grip dynamometer.

9. In paragraph 8, The steps for generating the above exercise result content are: A step of sharing the generated exercise result content to at least one of a patient terminal, an expert terminal, and a guardian terminal; Further comprising a step of changing the information displayed in the shared exercise result content according to the subject of the terminal. A method for prescribing customized shoulder rehabilitation exercises based on an IoT-based digital grip dynamometer.

10. In paragraph 9, The step of generating the above second exercise program is: A step of changing at least one of the exercise frequency and exercise maintenance time set in the first exercise program based on the above compliance data; A step of changing at least one of the reference grip strength and reference angle set in the first exercise program based on the grip strength data and the angle data. A method for prescribing customized shoulder rehabilitation exercises based on an IoT-based digital grip dynamometer.

11. In paragraph 1, A step of obtaining the nth exercise dataset for the nth exercise program at the n+1th time point, A step of generating an n+1 exercise program by changing the configuration of the nth exercise program based on the acquired nth exercise data set, It further includes a step of generating the n+1th exercise program by repeating it at the n+1th time point for a preset number of times. A method for prescribing customized shoulder rehabilitation exercises based on an IoT-based digital grip dynamometer.

12. Digital grip dynamometer including a grip force input unit and an angle measuring unit; At least one application, which is linked to the digital dynamometer and includes at least one memory and at least one processor, and which is stored in the memory and executed by the processor to provide a customized exercise prescription service, wherein the at least one application is: At the time of surgery, the basic grip strength and basic angle are obtained based on the above digital grip dynamometer and the initial setting is performed. At the first point after the surgery, the first grip strength and the first angle are obtained based on the digital grip dynamometer, Generate a first exercise program based on the basic grip strength and first grip strength obtained above, and the basic angle and first angle, At a second point in time, which is a predetermined point in time after starting to perform the first exercise program, a first exercise dataset for the first exercise program is acquired, Generate exercise result content for the first exercise dataset obtained above, Generating a second exercise program by changing the configuration of the first exercise program based on the first exercise data set obtained above. A system that prescribes customized shoulder rehabilitation exercises based on an IoT-based digital grip dynamometer.

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