Title :
Classification of multifunction surface EMG using advanced AR model representations
Author :
Knox, R. ; Brooks, D.H.
Author_Institution :
CDSP Center, Northeastern Univ., Boston, MA, USA
Abstract :
The potential use of new features derived from autoregressive coefficients for upper limb EMG pattern recognition has been discussed (Knox et al., 15th Ann. Int. Conf. of the IEEE EMBS, San Diego, CA, USA, Oct. 1993). These new features (reflection coefficients, cepstral coefficients, and logarithmic area ratios) are used heavily in speech processing. Results from a nonparametric linear classifier are presented
Keywords :
bioelectric potentials; medical signal processing; muscle; physiological models; stochastic processes; time series; advanced autoregressive model representations; autoregressive coefficients; cepstral coefficient; electromyography; logarithmic area ratio; multifunction surface EMG classification; nonparametric linear classifier; reflection coefficient; upper limb EMG pattern recognition; Cepstral analysis; Electromyography; Filtering; Muscles; Pattern recognition; Predictive models; Prosthetics; Reflection; Speech processing; Surface treatment;
Conference_Titel :
Bioengineering Conference, 1994., Proceedings of the 1994 20th Annual Northeast
Conference_Location :
Springfield, MA
Print_ISBN :
0-7803-1930-3
DOI :
10.1109/NEBC.1994.305164
