Automatic Decomposition of Simulated EMG Signals

Authors

  • J. R. Florestal Université de Montréal
  • P. A. Mathieu Université de Montréal
  • A. Malanda Universidad Pública de Navarra

Abstract

We present an electromyographic signal decomposition program featuring pseudo-correlation, a novel template matching technique. The program performance has been tested with synthetic data. Decomposition was fast and accurate for synthetic signals of moderate complexity, showing capabilities for real-time applications.

Author Biographies

J. R. Florestal, Université de Montréal

Institut de génie biomédical (dépt. de physiologie)

P. A. Mathieu, Université de Montréal

Institut de génie biomédical (dépt. de physiologie)

A. Malanda, Universidad Pública de Navarra

Dept. de Ingeniería Eléctrica y Electrónica

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Published

2005-12-31

How to Cite

[1]
J. R. Florestal, P. A. Mathieu, and A. Malanda, “Automatic Decomposition of Simulated EMG Signals”, CMBES Proc., vol. 28, no. 1, Dec. 2005.

Issue

Vol. 28 (2005)

Section

Academic