A Robust Algorithm for Muscle Conduction Velocity Estimation

Authors

  • Patrick Chaoyu Wu Dept. of Electrical & Computer Engineering, Queen’s University, Kingston
  • Evelyn Morin Dept. of Electrical & Computer Engineering, Queen’s University, Kingston

Abstract

Muscle conduction velocity (CV) is used for detection of muscle fatigue and nerve malfunctioning, and for localization of the muscle innervation zone. Conventionally, CV is determined from the delay between two adjacent electromyogram (EMG) electrodes and the inter electrode distance (IED), i.e., CV=IED/delay. However, the accuracy of the CV estimate highly depends on the quality of the EMG signals. In this paper, a method to improve the robustness of the delay, and consequently the CV, estimate is developed and tested.

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Published

2017-05-23

How to Cite

[1]
P. C. Wu and E. Morin, “A Robust Algorithm for Muscle Conduction Velocity Estimation”, CMBES Proc., vol. 40, no. 1, May 2017.

Issue

Section

Academic