Signal Whitening Preprocessing for Improved ...

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Apr 3, 2011 - The time domain feature set (TD) is comprised of three features, and the concatenated feature set (MAR) uses the AR coefficients and MAV.
IEEE 37th Annual Northeast Bioengineering Conference, 1–3 April, 2011.

Signal Whitening Preprocessing for Improved Classification Accuracies in Myoelectric Control Lukai Liu1, Pu Liu1, Edward A. Clancy1, Erik Scheme2 and Kevin B. Englehart2 Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA 01609 U.S.A. 2 Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB E3B 5A3, Canada. 1

Abstract— The surface electromyogram (EMG) signal collected from multiple channels has frequently been investigated for use in controlling upper-limb prostheses. One common control method is EMG-based motion classification. Time and frequency features derived from the EMG have been investigated. We propose the use of EMG signal whitening as a preprocessing step in EMG-based motion classification. Whitening decorrelates the EMG signal, and has been shown to be advantageous in other EMG applications. In a ten-subject study of up to 11 motion classes and ten electrode channels, we found that whitening improved classification accuracy by approximately 5% when small window length durations (

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