The purpose of this study is to measure muscle fatigue from EMG through non-invasive way. The measurements of muscle fatigue have been required in various fields. The linear analysis method such as Fast Fourier Transformation (FFT) has been used as the common way to analyze EMG. However, there would be some types of muscle fatigue which cannot be detected by the linear analysis but could be detected by nonlinear analysis because of nonlinearity of biological signals. In this study, we analyzed EMG recorded from 17 subjects to evaluate the ability of nonlinear analysis. As a result, more kinds of muscle fatigue can be detected through both linear analysis (ex. FFT) and nonlinear analysis (ex. chaos analysis) than linear analysis only.
In vivo analysis of 3-D kinematics of total knee arthroplasty (TKA) has been expected as one of the most important technique for design of artificial knee joints in future generation. This study was aimed to develop a highly reliable 3-D motion analysis by using image matching (IM) technique with wide-spreading high-resolutional flat panel detector (FPD). In this report, the accuracy of the motion analysis method for TKA was confirmed using some X-ray images taken experimentally. The analysis method we developed could achieve higher accuracy than previous studies in both of rotation and translation.