Research On Dectection Of Vastus Lateralis And Vastus Medialis Muscle SEMG In Patients With Arthroscopic Knee Surgery

"With the improvement of living standards, people increasingly realize the importance of fitness exercise. However, the fast-paced life often leads to hasty movements. Hence the incidence of the knee’s sports injuries has increased year by year. On the other hand, increasing living standards, easy life, lack of exercise, obesity and decline of physical function lead to increase of knee’s weight-bearing and decline of muscle groups’ function, thereby speeding up the chronic knee injury. Thus, in recent years, the incidence of knee-related diseases was increased year by year, and the patient with arthroscopic knee surgery becomes one of the most common orthopedic surgery patients. The main part of muscle is the skeletal muscle. Therefore, it has become one of the newest research hotspots of sEMG detection to analyze the situation of knee injuries by studying the knee-related skeletal.In this thesis, we describe a self-developed four-channel surface Electromyography(sEMG) acquisition system with bluetooth wireless, then we use it to get vastus medialis(VM) and vastus lateralis(VL) muscle sEMG of patients with arthroscopic knee surgery while squatting, and extract feature information of muscular activity, finally we provide a real-time, non-invasive, quantitative sensitive and efficient detection method for clinic. The innovation of this study consists of three points,as follows:(1) Hardware:a multi-channel wireless sEMG acquisition system based on16-bit microcontroller is designed, which removes the microcontroller output wires, makes the upper monitor computer acquire sEMG of measured objects wirelessly, eliminates the cable transmission constraints for the motion of the measured objects and makes it possible to acquire patients’EMG with no wires in the daily life.(2) Software:sEMG acquisition control interface of human-computer interaction based on the MFC is designed, which achieves the continuous acquisition of sEMG signals and the automatic division of single_action signal.(3) Clinical applications:we use the four-channel sEMG wireless acquisition system designed in this thesis to measure VM and VL sEMGs in patients with arthroscopic knee surgery while squatting, then we carry on the data optimization, power line interference filter and automatic data cutting, finally we extract iEMG and average instantaneous median frequency(IMNF) with the methods of time-domain and wavelet analysis to implement a correlation analysis method between sEMG time and frequency characteristics, detect of the activity states and function of VM, VL muscle of healthy and sick leg in patients with arthroscopic knee surgery.This thesis combines the multidisciplinary including orthopaedic analysis, EMG signal acquisition, feature extraction and classification detection. The innovative points are sEMG classification and detection of muscle functions in patients with injured knee, differences between healthy leg and sick leg by comparing the left and right leg, and to provide muscle rehabilitation and treatment methods clinically for knee joint.