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In vivo Measurement of Knee Extensor Muscle Function in Mice
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Assessing Quadriceps Muscle Contraction Using a Novel Surface Mechanomyography Sensor during Two Neuromuscular

Shannon E Linderman1, Donna Moxley Scarborough1, Ryan Aspenleiter2

  • 1Department of Orthopaedic Surgery, Massachusetts General Hospital, Boston, MA 02114, USA.

Sensors (Basel, Switzerland)
|July 14, 2023
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Summary
This summary is machine-generated.

Surface mechanomyography (sMMG) sensors accurately detect muscle contraction timing and provide reliable quadriceps performance metrics during dynamic movements, similar to traditional electromyography (EMG). This novel wearable technology shows promise for assessing neuromuscular control.

Keywords:
muscle excursionsurface electromyographysurface mechanomyography

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Area of Science:

  • Biomechanics and Motor Control
  • Wearable Sensor Technology
  • Rehabilitation Engineering

Background:

  • Electromyography (EMG) is the gold standard for measuring muscle activation but has limitations in dynamic tasks.
  • Surface mechanomyography (sMMG) offers a wearable alternative to capture muscle excursion.
  • Assessing neuromuscular control is crucial for injury prevention, rehabilitation, and training.

Purpose of the Study:

  • To compare the ability of sMMG sensors to detect muscle contraction timing patterns against EMG.
  • To evaluate the reliability of sMMG for quantifying muscle performance metrics.

Main Methods:

  • Simultaneous data collection using EMG and sMMG sensors on the quadriceps during bilateral deep squats.
  • Data capture during repeated unilateral partial squats in a subset of participants.
  • Analysis of contraction duration, and eccentric/concentric phases, and sMMG reliability.

Main Results:

  • No significant differences were found between sMMG and EMG in total contraction duration during bilateral or partial squats.
  • sMMG and EMG timing did not differ significantly for eccentric and concentric phases.
  • sMMG demonstrated excellent intra-session reliability for quadriceps excursion magnitude.

Conclusions:

  • sMMG sensors accurately capture muscle contraction timing and provide reliable performance metrics.
  • sMMG is a viable, wearable technology for assessing neuromuscular control during dynamic activities.
  • This technology has potential applications in injury prevention, rehabilitation, and exercise training.