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Related Experiment Videos

Systematic characterisation of silicon-embedded accelerometers for mechanomyography.

J Silva1, T Chau, S Naumann

  • 1Department of Mechanical & Industrial Engineering, University of Toronto, Toronto, Ontario, Canada.

Medical & Biological Engineering & Computing
|June 14, 2003
PubMed
Summary

Researchers explored using silicon-embedded accelerometers to measure mechanomyography (MMG) signals for prosthetic control. This novel approach significantly improved signal-to-noise ratio, offering a viable alternative to traditional electromyography (EMG) sensors.

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Area of Science:

  • Biomedical Engineering
  • Prosthetics and Orthotics
  • Sensor Technology

Background:

  • Current externally powered prostheses for below-elbow amputees face challenges with reliable sensor placement.
  • Electromyography (EMG) sensors are difficult to secure within silicon prosthetic sockets, hindering functionality and comfort.
  • Mechanomyography (MMG) offers an alternative by measuring muscle vibrations, with sensors not requiring direct skin contact.

Purpose of the Study:

  • To determine the feasibility of recording mechanomyography (MMG) signals using silicon-embedded, micro-machined accelerometers.
  • To assess the performance of embedded MMG sensors compared to non-embedded ones for potential use in prosthetic control.

Main Methods:

  • Fifteen micro-machined accelerometers were embedded within silicon material.

Related Experiment Videos

  • Embedded and non-embedded accelerometers were subjected to predefined vibration patterns.
  • Signal-to-noise ratio (SNR) and frequency response were measured and compared between embedded and non-embedded samples.

    • Main Results:

    • Silicon-embedded accelerometers demonstrated a significantly higher signal-to-noise ratio (approximately 19 dB) compared to non-embedded ones (approximately 12 dB).
    • A considerable mechanical damping effect of silicon was observed in the 300-900 Hz bandwidth, enhancing SNR (p=0.0028).

    Conclusions:

    • Silicon-embedded accelerometers are feasible for recording MMG signals.
    • This technology offers a promising solution for reliable sensor integration in externally powered prostheses.
    • Improved MMG sensing could enhance the functionality and user experience of prosthetic devices.