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A biomedical Engineering Laboratory module for exploring involuntary muscle reflexes using Electromyography.

Karly S Franz1,2, Kramay Patel1,3,4, Dawn M Kilkenny5,6

  • 1Institute of Biomedical Engineering, University of Toronto, 164 College St Room 407, Toronto, ON, M5S 3G9, Canada.

Journal of Biological Engineering
|December 9, 2020
PubMed
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This study introduces a new lab protocol for biomedical engineering students to explore muscle reflexes using electrical stimulation and stretch tests. The engaging module reinforces physiological concepts and neural engineering principles.

Area of Science:

  • Biomedical Engineering Education
  • Neuroscience
  • Physiology

Background:

  • Biomedical engineering students need strong biosignal analysis and physiological theory for medical device R&D.
  • Applied learning enhances understanding of physiological coursework.
  • A new protocol integrates neural engineering and physiology to study involuntary skeletal muscle reflexes.

Purpose of the Study:

  • To introduce a novel laboratory protocol for undergraduate biomedical engineering physiology courses.
  • To integrate neural engineering and physiological concepts for studying involuntary reflexes.
  • To provide hands-on experience with biosignal acquisition and analysis.

Main Methods:

  • Students used transcutaneous electrical nerve stimulation (TENS) to recruit soleus motor units.
Keywords:
Biomedical engineeringElectrical stimulationElectromyographyLaboratory protocolStretch reflexTENSUndergraduate physiology

Related Experiment Videos

  • The stretch reflex was explored with and without the Jendrassik maneuver.
  • Electromyographic (EMG) activity was recorded using a BioRadio Wireless Physiology Monitor and analyzed in MATLAB.
  • Main Results:

    • Electrical tibial nerve stimulation successfully elicited M-waves and F-waves, enabling latency and amplitude analysis.
    • Stretch reflex signals allowed for sensorimotor conduction velocity estimation.
    • The Jendrassik maneuver significantly increased EMG amplitude during the knee-jerk response, with students finding the module engaging.

    Conclusions:

    • The protocol effectively integrates engineering and physiology for BME students to learn about involuntary reflexes, neurophysiology, and neural engineering.
    • Budget-friendly equipment can be used to elicit and measure involuntary reflexes, enhancing student engagement.
    • The protocol offers a robust framework despite minor equipment and signal processing experience limitations.