Title :
Functional analysis of nonstationary EMG signals during a quick movement
Author :
Ju, Kihwan ; Itakura, Naoaki ; Iguchi, Y. ; Minamitani, Haruyuki
Author_Institution :
Dept. of Electr. Eng., Keio Univ., Kanagawa, Japan
Abstract :
An analysis is presented of the functional characteristics of the electromyogram (EMG) for a quick movement of the hand. The EMG signals resulting from a quick movement are represented by an autoregressive (AR) model. The AR parameters are estimated by the forward-backward model method, which is useful in the estimation of a nonstationary or dynamic signal. The prediction error variance, which is a peak frequency of EMG power spectrum, and the zero crossing rate are analyzed. The angular velocity of the hand during a quick movement is measured directly by placing an angular sensor on the joint axis of the wrist. Experimental results for five normal subjects are presented. They show the advantages of using the proposed method for nonstationary EMG signals
Keywords :
bioelectric potentials; biomechanics; muscle; physiological models; EMG functional characteristics; angular sensor; autoregressive model; dynamic signal; forward-backward model method; functional analysis; hand angular velocity; joint axis; nonstationary EMG signals; normal subjects; prediction error variance; quick movement; wrist; zero crossing rate; Angular velocity; Electromyography; Filtering; Frequency; Functional analysis; Information analysis; Kalman filters; Signal analysis; Signal processing; Velocity measurement;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.95964
