Quantifying The Signal-To-Noise Ratio of Silicon- Embedded Sensors for Mechanomyography

Authors

  • J. Silva Departamento de Ingeniería Biomédica, Universidad Iberoamericana, México D. F., México
  • T. Chau Rehabilitation Engineering Department, Bloorview MacMillan Children’s Centre, Toronto, On. Canada
  • S. Naumann Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, On. Canada

Abstract

Experiments consisted of systematic measurements of the signal-to-noise ratio (SNR) of signals acquired from a mechanical stimulator, using silicon-embedded accelerometers. The objective of using the latter was to determine the combination of embedding properties which provide the highest SNR for mechanomyography (MMG) signal recording. Variations in silicon hardness and geometry were tested. Two important conclusions can be derived from the experiments: (1) It is possible to acquire MMG signals using silicon-embedded sensors; and (2) The embedded sensor's performance is affected by changes in the geometry of the embedding. The intended application of this study is the use of soft silicon suction sockets with embedded sensors as a more comfortable and functional alternative to current hard-socket powered prostheses for below-elbow amputees currently using electromyography as the control signal(s).

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Published

2002-12-31

How to Cite

[1]
J. Silva, T. Chau, and S. Naumann, “Quantifying The Signal-To-Noise Ratio of Silicon- Embedded Sensors for Mechanomyography”, CMBES Proc., vol. 27, no. 1, Dec. 2002.

Issue

Vol. 27 (2002)

Section

Academic