An equilibrium-point model of electromyographic patterns during single-joint movements based on experimentally reconstructed control signals

Mark L. Latash, Simon R. Goodman

Research output: Contribution to journalArticle

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The purpose of this work has been to develop a model of electromyographic (EMG) patterns during single-joint movements based on a version of the equilibrium-point hypothesis, a method for experimental reconstruction of the joint compliant characteristics, the dual-strategy hypothesis, and a kinematic model of movement trajectory. EMG patterns are considered emergent properties of hypothetical control patterns that are equally affected by the control signals and peripheral feedback reflecting actual movement trajectory. A computer model generated the EMG patterns based on simulated movement kinematics and hypothetical control signals derived from the reconstructed joint compliant characteristics. The model predictions have been compared to published recordings of movement kinematics and EMG patterns in a variety of movement conditions, including movements over different distances, at different speeds, against different-known inertial loads, and in conditions of possible unexpected decrease in the inertial load. Changes in task parameters within the model led to simulated EMG patterns qualitatively similar to the experimentally recorded EMG patterns. The model's predictive power compares it favourably to the existing models of the EMG patterns.

Original languageEnglish (US)
Pages (from-to)230-241
Number of pages12
JournalJournal of Electromyography and Kinesiology
Issue number4
Publication statusPublished - 1994


All Science Journal Classification (ASJC) codes

  • Neuroscience (miscellaneous)
  • Biophysics
  • Clinical Neurology

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