Design Of Remote Monitoring System For Limb Rehabilitation Training Based On Motion Recognition

With the acceleration of the ageing of modern society,the number of patients requiring physical rehabilitation training is increasing year by year.Results of modern neurorehabilitation medicine and doctors' clinical trials show that patients can gradually recover their limb motor function through scientific rehabilitation training.During the entire rehabilitation training process,the doctor needs to monitor and evaluate the patient's physical state and the training effect in real time,so as to make timely adjustments to the patient's rehabilitation treatment plan.Therefore,a remote monitoring system for limb rehabilitation training based on motion recognition was researched and designed.By comparing the current status of research at home and abroad in recent years,there are still several technical issues that are solved for research on rehabilitation training.First of all,rehabilitation machines are larger in size,complicated in structure,and expensive,and ordinary families cannot afford them.Secondly,there are insufficient rehabilitation doctors and low efficiency.In addition,there are problems such as the need for specific rehabilitation training occasions.Based on the above problems,research work on using remote monitoring systems to replace traditional rehabilitation machines continues.The research of remote monitoring system can not only solve the current situation of lack of rehabilitation center space,but also help rehabilitation doctors to formulate rehabilitation training plans for numerous elderly people and improve the efficiency of treatment.Firstly,according to the characteristics of the remote monitoring system for rehabilitation training,the paper proposes a simple and low-cost remote monitoring system for limb rehabilitation training based on motion recognition.According to the periodic state of the patient's motion and its characteristics,the data acquisition system is installed on a more convenient part of the human body,and the relevant data collected is processed by wavelet transform to extract the characteristic signals of motion from a large amount of data.Secondly,according to the characteristics of the above-mentioned monitoring system,the main technologies used in the system are studied,and the collected signals are analyzed in the time domain.The core algorithm of the system is determined to adopt the wavelet packet feature extraction and support vector machine classification method,which provides a theoretical basis for the system.The identified feature vector is passed to the support vector machine for data analysis and classification,which are used as the basis for judging the target action category,and the action category and energy feature vector are passed to the host computer system.Finally,a remote monitoring system for limb rehabilitation training was designed.This system mainly consists of two parts: one is the signal acquisition part,and the other is the host computer system.The signal acquisition part is composed of a three-axis gyroscope,a data transmission module,a three-axis accelerometer,and a single-chip microcomputer minimum system.These modules are combined to complete the function of signal acquisition and transmission;the host computer system analyzes and practices from the perspective of a virtual instrument to achieve storage of related signals,application of related algorithms,and related data processing functions.The remote monitoring system for limb rehabilitation training based on motion recognition proposed in this paper successfully solves the problems of limited training venues,a small number of rehabilitation training doctors,and quiet efficiency in guiding rehabilitation training personnel at a time.Therefore,this system has higher practical application value for limb rehabilitation training.