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Assessment of Neuromuscular Function Using Percutaneous Electrical Nerve Stimulation
07:53

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Published on: September 13, 2015

A three-dimensional biomechanical evaluation of quadriceps and hamstrings function using electrical stimulation.

Betsy V Hunter1, Darryl G Thelen, Yasin Y Dhaher

  • 1Biomedical Engineering Department, Northwestern University, Evanston, IL 60208 USA. b-hunter@northwestern.edu

IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
|February 6, 2009
PubMed
Summary

Understanding muscle contributions to abnormal gait after stroke is crucial for rehabilitation. This study validated dynamic musculoskeletal models, finding moment arm accuracy vital for predicting 3-D pathological movement.

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Area of Science:

  • Biomechanics
  • Neurology
  • Robotics

Background:

  • Neurological disorders like stroke disrupt normal gait patterns, leading to abnormal 3-D kinematics.
  • Effective rehabilitation requires understanding individual muscle roles in pathological movements.
  • Forward dynamic simulations can predict muscle function but need experimental validation.

Purpose of the Study:

  • To measure 3-D movements induced by specific muscles (biceps femoris, rectus femoris, vastus lateralis) during simulated gait.
  • To assess biomechanical factors influencing dynamic muscle function.
  • To validate dynamic musculoskeletal models against experimental data.

Main Methods:

  • Subjects were placed in a robotic gait orthosis with a compliant interface.
  • Electrical stimulation was applied to individual leg muscles (BF, RF, VL).
  • Induced hip and knee joint movements in 3-D were recorded and analyzed.

Main Results:

  • Sagittal plane hip-to-knee acceleration ratios matched dynamic musculoskeletal model predictions.
  • Rectus femoris (RF) and vastus lateralis (VL) induced greater frontal plane hip movements than predicted.
  • Sensitivity analyses indicated muscle function predictions are highly dependent on moment arm accuracy.

Conclusions:

  • Generic musculoskeletal models can predict sagittal plane muscle function during gait.
  • Accurate moment arm estimations are essential for improving 3-D pathological gait simulations.
  • Further model refinement is needed for accurate prediction of complex, multi-planar movements in neurological rehabilitation.