Novel Metrics for High-Density sEMG Analysis in the Time-Space Domain During Sustained Isometric Contractions.
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ABSTRACT: Goal: This study introduces a novel approach to examine the temporal-spatial information derived from High-Density surface Electromyography (HD-sEMG). By integrating and adapting postural control parameters into a framework for the analysis of myoelectrical activity, new metrics to evaluate muscle fatigue progression were proposed, investigating their ability to predict endurance time. Methods: Nine subjects performed a fatiguing isometric contraction of the lumbar erector spinae. Topographical amplitude maps were generated from two HD-sEMG grids. Once identified the coordinates of the muscle activity, novel metrics for quantifying the muscle spatial distribution over time were calculated. Results: Spatial metrics showed significant differences from beginning to end of
SUBMITTER: Corvini G
PROVIDER: S-EPMC11379446 | biostudies-literature | 2024
REPOSITORIES: biostudies-literature
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