Abstract
Surface EMG analysis during dynamic movement has a variety of applications, including basic reserches, biomechanics, bioengineering, rehabilitation, and sports science. However, we cannot always apply the signal processing methods developed under stationary conditions to EMG signals during dynamic movement. This article, first of all, describes the merits of a multichannel array electrode for measuring surface EMG signals during dynamic movement, to avoid the influences of the innervation zones. Secondly, it shows the analysis of the time-varying autoregressive (AR) parameters of EMG signals and the Karhunen-Loéve expansion of multidimensional EMG parameters, to identify the physiological factors that cannot be revealed by the muscle force.
