Title :
A non-parametric statistical approach to EMG signal analysis
Author :
Erlandson, Robert F. ; Joynt, Robert L. ; Wu, Shi Jian ; Wang, Chuan-Ming
Author_Institution :
Metropolitan Center for High Technol., Detroit, MI, USA
Abstract :
An event identification and classification technique in which electromyographic (EMG) signals are transformed from the time domain into a probability space using nonparametric statistics is reported. Data points with a high probability of being an event are collected into similarity groups using rank-order statistics. EMG interpulse-interval data are used to establish the motor unit components of the detected superimposition events
Keywords :
bioelectric potentials; muscle; statistical analysis; waveform analysis; EMG interpulse-interval data; EMG signal analysis; classification technique; data points; event identification; motor unit components; probability space; similarity groups; superimposition events; Computer simulation; Electroencephalography; Electromyography; Engineering in medicine and biology; Medical signal detection; Muscles; Signal analysis; Sleep;
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.1989.95953
