CN117442169A - An AI-based rehabilitation tracking device and method for tumor patients - Google Patents
An AI-based rehabilitation tracking device and method for tumor patients Download PDFInfo
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Abstract
The invention relates to the technical field of rehabilitation tracking of tumor patients and discloses an AI-based rehabilitation tracking device for the tumor patients, which comprises a shell, wherein a sensor is connected to the middle lower part of the inner wall of the shell in a threaded manner, a processor is fixedly connected to the top of the sensor, a multifunctional display screen is fixedly connected to the middle upper part of the inner wall of the shell, the processor is respectively and electrically connected with the sensor and the multifunctional display screen, preferably, a plurality of sound amplifying holes are formed in the periphery of the bottom of the outer wall of the shell at equal intervals, a plurality of anti-collision posts are fixedly connected to the periphery of the top of the outer wall of the shell at equal intervals, and the anti-collision posts are made of rubber materials. By utilizing the artificial intelligence technology, the rehabilitation progress of a patient can be monitored in real time, a personalized rehabilitation plan is provided, the rehabilitation effect of the patient is improved, more accurate rehabilitation guidance is provided for doctors, and meanwhile, the device can help the patient to better manage the rehabilitation process of the patient and provide timely medical support.
Description
Technical Field
The invention relates to the technical field of rehabilitation tracking of tumor patients, in particular to an AI-based rehabilitation tracking device and a method thereof.
Background
Rehabilitation of a tumor patient refers to the process of restoring physical function, improving quality of life, and promoting psychological and social adaptation of the patient through a series of rehabilitation measures and support after tumor treatment, including restoring physical function: rehabilitation training in the aspects of muscle strength, physical flexibility, balance capacity and the like is included, so that the daily activity capacity and life quality of a patient are improved; alleviating the side effects of treatment: side effects such as fatigue, nausea, vomiting and the like in the treatment process are reduced through modes such as drug treatment, rehabilitation training, nutrition guidance and the like; improving mental health: psychological consultation, support and psychological dispersion are provided, and patients are helped to cope with emotional problems such as anxiety, depression and the like in the treatment process; promoting social adaptation: through social support, professional rehabilitation and integration of community resources, the method helps patients to be re-integrated into society, and work capacity and social roles are restored.
The AI refers to technology and application for realizing human-like thinking, reasoning, recognition, learning and other capabilities through computer simulation, the AI technology comprises multiple directions of machine learning, deep learning, natural language processing, image recognition, intelligent control and the like, and can be applied to various fields, such as medical treatment, finance, transportation and education, the core of the AI technology is machine learning, the computer is enabled to automatically extract rules and features in the AI technology through learning and analysis of a large amount of data, so that intelligent decision and behaviors are realized, the machine learning method comprises supervised learning, unsupervised learning, semi-supervised learning and reinforcement learning, the application range of the AI technology is very wide, and multiple directions of voice recognition, image recognition, natural language processing, intelligent recommendation, intelligent control, intelligent customer service, robots and the like are affected by the AI technology along with the continuous development of the AI technology, and new application and business modes are generated.
At present, a tumor patient needs to be checked in a hospital regularly in the rehabilitation treatment process to ensure that the rehabilitation condition of the body is known and controlled, but the treatment of the tumor patient cannot be adjusted in time according to the rehabilitation condition, and the tumor patient can only be continuously treated according to the first proposed treatment scheme at home, so that the rehabilitation time of the tumor patient is slowed down, and the optimal treatment opportunity is missed.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an AI-based tumor patient rehabilitation tracking device and a method thereof, which solve the problems that in the rehabilitation treatment process of a tumor patient, the patient needs to be checked at regular intervals to ensure the understanding and control of the rehabilitation condition of the body, but the treatment of the tumor patient cannot be adjusted in time according to the rehabilitation condition, the patient can only be treated continuously according to the first proposed treatment scheme at home, the rehabilitation time of the tumor patient is slowed down, and the optimal treatment opportunity is missed.
In order to achieve the above purpose, the invention is realized by the following technical scheme: the utility model provides a tumour patient rehabilitation tracking device based on AI, includes the casing, lower part threaded connection has the sensor in the inner wall of casing, the top fixedly connected with treater of sensor, upper portion fixedly connected with multi-functional display screen in the inner wall of casing, treater respectively with sensor and multi-functional display screen electric connection.
Preferably, a plurality of sound amplifying holes are formed in the periphery of the bottom of the outer wall of the shell at equal intervals, a plurality of anti-collision posts are fixedly connected to the periphery of the top of the outer wall of the shell at equal intervals, and the anti-collision posts are made of rubber materials.
Preferably, the top threaded connection of casing has the safety cover, the top fixedly connected with protection film of safety cover.
Preferably, the sensor comprises a sensor for sensing and receiving a physical or chemical quantity in an external environment, a converter for converting the physical or chemical quantity sensed by the sensor into a processable electric signal, and an output module capable of converting an analog signal output by the sensor into a digital signal or performing signal amplification, filtering, linearization and the like, and the output module is capable of converting a certain physical or chemical quantity into an electric signal for output.
Preferably, the converter further comprises an analog-to-digital converter for converting the analog signal output by the sensor into a digital signal, the ADC for quantizing the continuous analog signal into discrete digital values, typically using sampling and quantization techniques, the output of the ADC may be a binary value or other form of digital representation, and a digital-to-analog converter for converting the digital signal into an analog signal, the DAC for converting the digital value into a corresponding analog voltage or current output, the output of the DAC may be a continuous analog signal for controlling a voltage or current source, driving an actuator or other device.
Preferably, the processor includes an intelligent algorithm module for analyzing and processing physiological data of the patient by using an artificial intelligent algorithm to evaluate the rehabilitation of the patient, a data storage module for storing collected data, and a data processing module for processing the physiological data of the patient and interoperating with the intelligent algorithm.
Preferably, the multifunctional display screen comprises a touch interaction unit, a multimedia playing unit, a multi-interface conversion unit and a diversification unit, wherein the touch interaction unit realizes the interaction operation of a user through a touch screen technology, the user can select, slide, zoom in and zoom out through the touch screen, the multimedia playing unit can play various media contents including images, videos and audios and can be used for displaying scenes such as advertisements, information release and entertainment, the multi-interface conversion unit is provided with various input and output interfaces such as HDM I, USB and network interfaces and can be connected with external equipment to realize data transmission and screen expansion functions, and the diversification unit can be used for various application scenes such as smart phones, tablet computers, televisions, electronic signboards and navigation systems.
Preferably, a method for using the AI-based tumor patient rehabilitation tracking device comprises the following steps:
in the first step, a sensor at the bottom of the shell is pressed on the wrist or chest, the shell stands for 3 to 5 minutes, heart rate, blood oxygen, body temperature, ECG (ECG), blood pressure, vascular health, atrial fibrillation data, sleep duration and apnea of a patient are recorded according to detection of the sensor, the heart rate, the blood oxygen, the body temperature, the ECG, the blood pressure, the vascular health, atrial fibrillation data, sleep duration and apnea are converted into electric signals to be transmitted to a processor, physiological data of the patient are analyzed and processed through an artificial intelligence algorithm of the processor so as to evaluate the rehabilitation condition of the patient, meanwhile, collected data are stored, the physiological data of the patient are analyzed and processed, interactive operation is carried out with the intelligent algorithm, feedback is carried out on a multifunctional display screen, the rehabilitation condition and related information of the patient can be checked at any time by the patient and doctors, and the rehabilitation plan of the patient is updated according to evaluation results, and the doctor and the patient are provided for reference.
Working principle: the method comprises the steps of pressing a sensor at the bottom of a shell at a wrist or chest, or adhering the sensor by colloid, standing the sensor for 3-5 minutes, recording heart rate, blood oxygen, body temperature, ECG (ECG), blood pressure, vascular health, atrial fibrillation data, sleep time and apnea of a patient according to detection of the sensor, converting the heart rate, the blood oxygen, the body temperature, the ECG, the blood pressure, the vascular health, the atrial fibrillation data and the sleep time into electric signals, transmitting the electric signals to a processor, analyzing and processing physiological data of the patient by an artificial intelligence algorithm of the processor so as to evaluate the rehabilitation condition of the patient, simultaneously storing collected data, analyzing and processing the physiological data of the patient, performing interactive operation with the intelligent algorithm, feeding back on a multifunctional display screen, enabling the patient and a doctor to check the rehabilitation condition and related information of the patient at any time, updating the rehabilitation plan of the patient according to evaluation results, providing reference for the doctor and the patient, monitoring the rehabilitation progress of the patient in real time by an AI-based tumor patient rehabilitation tracking device and a method thereof by utilizing an artificial intelligence technology, improving the rehabilitation effect of the patient, providing more accurate rehabilitation guidance for the doctor, and simultaneously helping the patient to manage the patient and supporting the rehabilitation process in time.
The invention provides an AI-based rehabilitation tracking device for tumor patients and a method thereof. The device comprises the following
The beneficial effects are that:
1. the AI-based tumor patient rehabilitation tracking device and the AI-based tumor patient rehabilitation tracking method can monitor the rehabilitation progress of a patient in real time by utilizing an artificial intelligence technology, provide a personalized rehabilitation plan, help to improve the rehabilitation effect of the patient, provide more accurate rehabilitation guidance for doctors, and simultaneously help the patient to better manage the rehabilitation process and provide timely medical support.
2. The invention records heart rate, blood oxygen, body temperature, ECG, blood pressure, vascular health, atrial fibrillation data, sleep time and apnea of a patient through detection of a sensor, converts the data into electric signals, transmits the electric signals to a processor, analyzes and processes physiological data of the patient through an artificial intelligence algorithm of the processor to evaluate the rehabilitation condition of the patient, stores collected data, analyzes and processes the physiological data of the patient, and performs interactive operation with the intelligent algorithm, thereby feeding back on a multifunctional display screen, enabling the patient and doctors to check the rehabilitation condition and related information of the patient at any time, and updating the rehabilitation plan of the patient according to the evaluation result.
Drawings
FIG. 1 is a front view of the present invention;
FIG. 2 is a top view of the present invention;
FIG. 3 is a structural exploded view of the present invention;
FIG. 4 is a schematic diagram of the sensor system of the present invention;
FIG. 5 is a schematic diagram of a converter according to the present invention;
FIG. 6 is a schematic diagram of a processor system according to the present invention;
fig. 7 is a schematic structural diagram of a multifunctional display system according to the present invention.
1, a shell; 2. a sensor; 3. a processor; 4. a multi-function display screen; 5. a protective cover; 6. a protective film; 7. an anti-collision column; 8. and amplifying the sound hole.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples:
referring to fig. 1-7, an embodiment of the invention provides an AI-based tumor patient rehabilitation tracking device, which comprises a housing 1, wherein a sensor 2 is connected to the middle lower part of the inner wall of the housing 1 in a threaded manner, a processor 3 is fixedly connected to the top of the sensor 2, a multifunctional display screen 4 is fixedly connected to the middle upper part of the inner wall of the housing 1, and the processor 3 is respectively and electrically connected with the sensor 2 and the multifunctional display screen 4.
The processor 3 is electrically connected with the sensor 2 and the multifunctional display screen 4 respectively, so that the sensor 2 converts monitored data into electric signals to be transmitted to the processor 3, and then the electric signals are matched with the processor 3 to perform data analysis, storage and uploading.
A plurality of sound amplifying holes 8 are formed in the periphery of the bottom of the outer wall of the shell 1 at equal intervals, a plurality of anti-collision posts 7 are fixedly connected to the periphery of the top of the outer wall of the shell 1 at equal intervals, and the anti-collision posts 7 are made of rubber.
The voice broadcasting can be carried out by matching the sound amplifying holes 8 with the multifunctional display screen 4, the broadcasting sound is externally transmitted, a plurality of anti-collision posts 7 are fixedly connected to the periphery of the top of the outer wall of the shell 1 at equal intervals, the anti-collision posts are made of rubber materials, external abrasion caused by collision of the whole equipment is better avoided, and the service life is greatly prolonged; the method comprises the steps of pressing a sensor at the bottom of a shell at a wrist or chest, or adhering the sensor by colloid, standing the sensor for 3-5 minutes, recording heart rate, blood oxygen, body temperature, ECG (ECG), blood pressure, vascular health, atrial fibrillation data, sleep time and apnea of a patient according to detection of the sensor, converting the heart rate, the blood oxygen, the body temperature, the ECG, the blood pressure, the vascular health, the atrial fibrillation data and the sleep time into electric signals, transmitting the electric signals to a processor, analyzing and processing physiological data of the patient by an artificial intelligence algorithm of the processor so as to evaluate the rehabilitation condition of the patient, simultaneously storing collected data, analyzing and processing the physiological data of the patient, performing interactive operation with the intelligent algorithm, feeding back on a multifunctional display screen, enabling the patient and a doctor to check the rehabilitation condition and related information of the patient at any time, updating the rehabilitation plan of the patient according to evaluation results, providing reference for the doctor and the patient, monitoring the rehabilitation progress of the patient in real time by an AI-based tumor patient rehabilitation tracking device and a method thereof by utilizing an artificial intelligence technology, improving the rehabilitation effect of the patient, providing more accurate rehabilitation guidance for the doctor, and simultaneously helping the patient to manage the patient and supporting the rehabilitation process in time.
The top threaded connection of casing 1 has safety cover 5, and the top fixedly connected with protection film 6 of safety cover 5.
Through install safety cover 5 screw thread on casing 1, the cooperation is pasted protection film 6, helps the protection to multi-functional display screen 4, avoids multi-functional display screen 4's surface to cause wearing and tearing, mar.
The sensor 2 includes a sensor for sensing and receiving a physical or chemical quantity in an external environment, a converter for converting the physical or chemical quantity sensed by the sensor 2 into a processable electrical signal, and an output module capable of converting an analog signal output from the sensor 2 into a digital signal or performing processes such as signal amplification, filtering, linearization, etc., and converting a certain physical or chemical quantity into an electrical signal for output.
The sensor 2 is widely used in medical monitoring, rehabilitation training, health management, for example, heart rate sensor, blood pressure sensor, body temperature sensor, etc. can be used for monitoring physiological parameters of patients; motion sensors, muscle sensors, etc. can be used for rehabilitation training and motion monitoring; the sleep sensor, the blood sugar sensor and the like can be used for health management and disease prevention, and the application of the sensor 2 enables medical monitoring to be more accurate, rehabilitation training to be more personalized and health management to be more convenient, so that new opportunities are brought to the development of the medical health field; susceptors are typically constructed of a particular material or structure that is capable of responding to a particular physical or chemical change, the output of the susceptor is typically an electrical signal, which may be an analog or digital signal, for further processing and analysis, the choice and design of the susceptor depends on the application scenario and the physical or chemical quantity desired to be measured, and the application of the susceptor is wide ranging and encompasses many fields including automation control, environmental monitoring, medical diagnostics, smart phones, automobiles.
The converter also includes an analog-to-digital converter that converts the analog signal output by the sensor 2 to a digital signal, an ADC that quantizes the continuous analog signal to a discrete digital value, typically implemented using sampling and quantization techniques, the output of the ADC may be a binary value, or other form of digital representation, and a digital-to-analog converter that converts the digital signal to an analog signal, a DAC that converts the digital value to a corresponding analog voltage or current output, and an output of the DAC that may be a continuous analog signal for controlling a voltage or current source, driving an actuator or other device.
The design and performance of the converter are critical to the accuracy, sensitivity and reliability of the sensor 2, the resolution, sampling rate, linearity, noise and other parameters of the converter 2 need to be selected and optimized according to specific application scenarios and requirements, in the AI-based tumor patient rehabilitation tracking device, the converter 2 can convert physiological parameters perceived by the receptor into digital signals, such as heart rate, blood oxygen concentration and motion state, for analysis and processing by an AI algorithm, and the performance of the converter directly influences the accuracy and stability of the rehabilitation tracking device, so that the parameters and performance of the converter need to be carefully selected and optimized in design.
The processor 3 includes an intelligent algorithm module for analyzing and processing physiological data of a patient by using an artificial intelligent algorithm to evaluate the rehabilitation of the patient, a data storage module for storing collected data, and a data processing module for processing physiological data of the patient and performing an interactive operation with the intelligent algorithm.
The processor 3 is one of core components in the computer system and is mainly responsible for executing instructions and processing data, the processor 3 is generally composed of a control unit, an arithmetic logic unit, a register and the like, can execute various arithmetic, logic and input/output operations, and can dynamically schedule and control according to the requirements of programs, the performance and functions of the processor 3 have important influences on the speed and the capacity of the computer system, wherein key factors include a main frequency, a core number, a cache size, an architecture and an instruction set, the higher the main frequency of the processor 3 is, the more instructions are executed per second, so that the running speed of the computer system can be improved, the more the cores of the processor 3 are, the more tasks can be processed simultaneously, the parallel processing capacity of the computer system can be improved, the cache of the processor 3 can store important instructions and data, the cache size is larger, the processor 3 can access data more quickly, the running speed of the computer system is improved, the architecture of the processor 3 has influence on the execution efficiency and the capacity of the processor, such as x86 and ARM architecture, the higher the instruction set can support the performance and the ARM 3 are also provided for the application, the application of the processor is not to be widely applied to the personal computer system, the performance is not influenced, the application of the system is not provided with the performance of the system, the system is not easy to be advanced, the application of the system is not provided, the application of the system is advanced, the system is not easy, the application of the system is advanced, the system is provided with the operation performance of the system is more is easy, the system is easy, the performance of the system is convenient, the system is easy, the service the system is convenient, the service is easy to be convenient, and the use, the service is easy to use, and the service is easy to be easy to use, and the can has a service, and the service has a service and the service and has a service and the service.
The multifunctional display screen 4 comprises a touch interaction unit, a multimedia playing unit, a multi-interface conversion unit and a diversification unit, wherein the touch interaction unit realizes the interaction operation of a user through a touch screen technology, the user can select, slide, zoom in and zoom out through the touch screen, the multimedia playing unit can play various media contents, including images, videos and audios, and can be used for displaying scenes such as advertisements, information release and entertainment, the multi-interface conversion unit is provided with various input and output interfaces, such as HDMI, USB and network interfaces, can be connected with external equipment, realizes the functions of data transmission and screen expansion, and the diversification unit can be used for various application scenes, such as smart phones, tablet computers, televisions, electronic signboards and navigation systems.
The multifunctional display screen 4 is widely applied in various fields, such as commercial advertisement, information display, education and training, medical diagnosis and traffic navigation, along with the continuous progress of technology, the functions and performances of the multifunctional display screen are also continuously improved, and better use experience and more application selections are provided for users, wherein the resolution of the multifunctional display screen 4 is various and selectable, and the multifunctional display screen 4 has different resolutions, high resolution and color expression capability and can present clear and fine images and video contents.
An application method of an AI-based tumor patient rehabilitation tracking device comprises the following steps:
in the first step, the sensor 2 at the bottom of the shell 1 is pressed on the wrist or chest, and is kept stand for 3-5 minutes, the heart rate, blood oxygen, body temperature, ECG, blood pressure, vascular health, atrial fibrillation data, sleep duration and apnea of the patient are recorded according to the detection of the sensor 2, the heart rate, blood oxygen, body temperature, ECG, blood pressure, vascular health, atrial fibrillation data and sleep duration are converted into electric signals to be transmitted to the processor 3, physiological data of the patient are analyzed and processed through an artificial intelligence algorithm of the processor 3 so as to evaluate the rehabilitation condition of the patient, meanwhile, collected data are stored, the physiological data of the patient are analyzed and processed, and the intelligent algorithm is interacted, so that feedback is carried out on the multifunctional display screen 4, the rehabilitation condition and related information of the patient can be checked at any time by the patient and doctors, and the rehabilitation plan of the patient is updated according to the evaluation result and is provided for the doctors and the patient to be referred.
By utilizing the artificial intelligence technology, the AI-based tumor patient rehabilitation tracking device and the AI-based tumor patient rehabilitation tracking method can monitor the rehabilitation progress of a patient in real time, provide a personalized rehabilitation plan, help to improve the rehabilitation effect of the patient, provide more accurate rehabilitation guidance for doctors, and simultaneously help the patient to better manage the rehabilitation process and provide timely medical support.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The utility model provides a tumour patient rehabilitation tracking device based on AI, includes casing (1), its characterized in that: the multifunctional electronic device is characterized in that a sensor (2) is connected to the middle lower portion of the inner wall of the shell (1) in a threaded mode, a processor (3) is fixedly connected to the top of the sensor (2), a multifunctional display screen (4) is fixedly connected to the middle upper portion of the inner wall of the shell (1), and the processor (3) is electrically connected with the sensor (2) and the multifunctional display screen (4) respectively.
2. The AI-based oncology patient rehabilitation tracking device of claim 1 wherein: a plurality of sound amplifying holes (8) are formed in the periphery of the bottom of the outer wall of the shell (1) at equal intervals, a plurality of anti-collision posts (7) are fixedly connected to the periphery of the top of the outer wall of the shell (1) at equal intervals, and the anti-collision posts (7) are made of rubber materials.
3. The AI-based oncology patient rehabilitation tracking device of claim 1 wherein: the top threaded connection of casing (1) has safety cover (5), the top fixedly connected with protection film (6) of safety cover (5).
4. The AI-based oncology patient rehabilitation tracking device of claim 1 wherein: the sensor (2) comprises a receptor, a converter and an output module, wherein the receptor is used for sensing and receiving physical quantity or chemical quantity in the external environment, the converter is used for converting the physical quantity or chemical quantity sensed by the sensor (2) into a processable electric signal, the converter can convert an analog signal output by the sensor (2) into a digital signal or perform signal amplification, filtering, linearization and other processes, and the output module can convert a certain physical quantity or chemical quantity into the electric signal to output.
5. The AI-based oncology patient rehabilitation tracking device of claim 4 wherein: the converter also includes an analog-to-digital converter that converts the analog signal output by the sensor (2) to a digital signal, an ADC that quantizes the continuous analog signal to a discrete digital value, typically implemented using sampling and quantization techniques, the output of the ADC may be a binary value or other form of digital representation, and a digital-to-analog converter that converts the digital signal to an analog signal, a DAC that converts the digital value to a corresponding analog voltage or current output, and an output of the DAC that may be a continuous analog signal for controlling a voltage or current source, driving an actuator or other device.
6. The AI-based oncology patient rehabilitation tracking device of claim 1 wherein: the processor (3) comprises an intelligent algorithm module, a data storage module and a data processing module, wherein the intelligent algorithm module analyzes and processes physiological data of a patient by using an artificial intelligent algorithm to evaluate the rehabilitation condition of the patient, the data storage module is used for storing collected data materials, and the data processing module processes the physiological data of the patient and performs interactive operation with the intelligent algorithm.
7. The AI-based oncology patient rehabilitation tracking device of claim 1 wherein: the multifunctional display screen (4) comprises a touch interaction unit, a multimedia playing unit, a multi-interface conversion unit and a diversification unit, wherein the touch interaction unit is used for realizing interactive operation of a user through a touch screen technology, the user can select, slide, zoom in and zoom out through the touch screen, the multimedia playing unit can play various media contents, including images, videos and audios, and can be used for displaying scenes such as advertisements, information release and entertainment, the multi-interface conversion unit is provided with various input and output interfaces, such as HDMI, USB and network interfaces, can be connected with external equipment to realize data transmission and screen expansion functions, and the diversification unit can be used for various application scenes, such as smart phones, tablet computers, televisions, electronic signboards and navigation systems.
8. A method for using an AI-based tumor patient rehabilitation tracking device, applied to the AI-based tumor patient rehabilitation tracking device of any one of claims 1-7, comprising the steps of:
in the first step, a sensor (2) at the bottom of a shell (1) is pressed on a wrist or chest, the patient stands for 3 to 5 minutes, heart rate, blood oxygen, body temperature, ECG (ECG), blood pressure, vascular health, atrial fibrillation data, sleep time and apnea of the patient are recorded according to detection of the sensor (2), the data are converted into electric signals and transmitted to a processor (3), physiological data of the patient are analyzed and processed through an artificial intelligence algorithm of the processor (3) so as to evaluate the rehabilitation condition of the patient, meanwhile, collected data are stored, the physiological data of the patient are analyzed and processed, and interaction operation is carried out with the intelligent algorithm, so that feedback is carried out on a multifunctional display screen (4), the rehabilitation condition and related information of the patient can be checked at any time, the rehabilitation plan of the patient is updated according to the evaluation result, and the doctor and the patient are provided for reference.
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