Research And Development Of Real-time Feedback System For Rehabilitation Training Of Postoperative Patients With Breast Cancer

Objective:This research develops a real-time feedback system for postoperative patients’ functional exercise based on the survey of breast cancer group rehabilitation training needs.It provides effective methods for the monitoring and guidance of functional exercises after breast cancer surgery,improves the quality of life of patients and saves medical resources.Methods:(1)Demand survey: A demand survey was conducted in a hospital in Jilin Province,and the purpose of sampling was used to enroll breast cancer patients during hospitalization.The inclusion criteria were:(1)Diagnosed with breast cancer and received breast cancer surgery;(2)No combined effects after surgery Diseases of rehabilitation exercise ability;(3)Communication is barrier-free,able to communicate in Mandarin;(4)Interested in research and informed consent.Exclusion criteria:(1)Patients with severe complications and unable to perform postoperative upper limb function exercise;(2)Patients who cannot cooperate with fluctuating conditions or withdraw halfway.Semi-structured in-depth interview was the main tool for data collection.Before the research started,the interview content was repeatedly modified and adjusted through pre-interviews,and the interview outline was finally determined.It mainly includes two parts:(1)Experience of upper limb function exercise;(2)Expectations and needs of the upper limb function exercise real-time feedback of equipment.(2)System development: The system includes signal acquisition module,asignal processing,feedback module,and data management module.The signal acquisition module uses nine-axis acceleration sensors and photodiodes to collect motion and heart rate signals.The signal processing and feedback module uses R language to write MCU code to process the collected signals,program the upper computer through MATLAB,and the processed signals are feedback through screen display and voice prompts.The data management module establishes a voice database through a voice chip,and establishes an action database through a nine-axis acceleration sensor to manage the input data.The nine-axis acceleration sensor outputs the three-axis acceleration and Euler angle to the arduino microcontroller,and performs Kalman filtering on the angular acceleration to ensure the stability of the data.The single-chip microcomputer detects the action and divides the collected data.Since the sampled data is continuous,it is necessary to use multiple threshold segmentation methods to process the three-axis acceleration and angular velocity data to determine the action Start position and end position.The screen displays the current mode,the number of actions completed and the calorie consumption count,and the voice feedback real-time training completion status.The main actions of the rehabilitation system include: making a fist(making a loose fist),rotating the wrist(360-degree rotation of the wrist joint),elbow flexion(180degrees of forearm movement),lifting(lifting the affected limb from the sagging position to 90 degrees),abduction(Raise your arms horizontally at 180 degrees,and slowly lift them up until your arms are parallel).The actions designed by this system include early postoperative muscle strength exercise,wrist and elbow joint activities,and shoulder joint activities in the middle and late stages of rehabilitation,which are comprehensive and universal for breast cancer patients at different postoperative stages.The patient performs rehabilitation exercise.When the action reaches the standard,the system gives the patient a voice encouragement and counts.After completing the four cycles,it enters the next project link.When the standard is not reached,the system gives a prompt.(3)System test: After the initial equipment development,normal people are recruited to test the system accuracy,and the experimenter prepares a real-time feedback device and a computer for the upper limb functional exercises of patients after breast cancer surgery.The tester informed the subjects of the purpose and process of the test.Let the subjects maintain a standing posture and fix the sensors on the wrists so that the subjects’ arms are naturally placed on both sides of the body with the palms facing down.After each movement,they should return.Go to the initial position.Continuously collect the actions of the same subject with the same scoring level,repeat the same action 32 times as a group,take 1 complete postoperative rehabilitation exercise data for breast cancer for each participant,and record the data continuously during the collection process.During the test,the subject must complete the required actions according to the instructions of the tester.No other large-scale physical actions,such as turning the body,standing or walking,are allowed.After the system function test,subjects were surveyed on the experience of using the equipment.referring to the previous research,based on the purpose of the interview,the interview outline was designed,mainly including 3 parts:(1)Knowledge and opinions on the upper limb rehabilitation training real-time feedback system;(2)Using the upper limb rehabilitation training real-time feedback system Circumstances and influencing factors;(3)Recommendations for optimizing the real-time feedback system for upper limb rehabilitation training,using semi-structured in-depth interview method to collect data during the interview.Results:(1)Demand survey results: A total of 3 themes were extracted,including(1)Experience of existing rehabilitation training;(2)Attitude to real-time feedback equipment;(3)Expectation to real-time feedback equipment.(2)System test results: The test results of healthy subjects showed that the average detection rate of the system reached 96.94 %,and the movement with the highest detection rate was making a fist,with a detection rate of 98.75 %.The movement with the lowest detection rate was wrist rotation,with a detection rate of 93.75 %.Functions such as voice prompts,calorie counting,and motion counting are all normal.Conduct in-depth semi-structured interviews with 10 subjects.In-depth analysis and refining of the interview data were carried out,and a total of 3 themes were refined,including(1)Experience and experience of application system;(2)Influencing factors of application system;(3)Revelation of system optimization suggestions.Conclusions:(1)Breast cancer patients and medical staff are positively accepting the real-time feedback system of upper limb rehabilitation training for breast cancer patients.The survey of the needs of patients for the system shows that the demand for ease of use is the highest,and the demand for accuracy,wearing comfort,and content richness is also high.(2)The system developed by this research institute has two modes to ensure the safety of rehabilitation training for different patients.The equipment material is breathable and soft.The system test shows that the system developed by this research institute has a higher accuracy rate,a better user experience and a better experience.Strong availability.