Optimal Selection of Time Series Coefficients for Wrist Myoelectric Control Based on Intramuscular Recordings
AALBORG UNIV (DENMARK) CENTER FOR SENSORY-MOTOR INTERACTION
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The Davies-Bouldin cluster validation technique has been utilized to determine the optimal time series parameters model, order and number of coefficients to be used in a myoelectric pattern recognition system based on intramuscular recordings. The data used in our longitudinal study were recorded intramuscularly 4 muscle channels from an amputee subject over three different experimental days. During the recording sessions, the subject performed 4 wrist movements pronation, supination, wrist flexion, wrist extension in a way that was intuitive to her. The time series coefficients obtained from the EMG data from AR, MA, and ARMA modeling were used for generating feature spaces with 4 classes 1 per movement. The results showed that the optimal parameters didnt differ substantially AR, order 4, 2 coefficients for those obtained for other type of movements and surface EMG recordings. The use of the Davies-Bouldin technique during the analysis produced important information about the separability and consistency of the data across different days.
- Anatomy and Physiology