Surface electromyography analysis in long-term recordings : application to head rest comfort in cars.

Author(s)
Duchêne, J. & Lamotte, T.
Year
Abstract

Analysis of long-term surface electromyographic (SEMG) signals has many applications in ergonomics when related to muscle fatigue. The present work proposes a set of processing methods reporting SEMG modifications during long-term driving tests in various situations (with or without head rest). A segmentation/classification algorithm allows signal splitting into homogeneous parts (postural activity and EMG bursts) and an efficient artefact suppression. Postural activity modifications are evaluated from time-varying amplitude probability density function (TAPDF) parameters. EMG burst analysis is achieved taking into account the relationships of these bursts with accelerometric events. This segmentation/classification procedure improves repeatability but does not significantly modify the overall results obtained before segmentation, as far as the analysis of head rest influence is concerned. (Author/publisher)

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Publication

Library number
C 18566 [electronic version only] /91 / ITRD E108511
Source

Ergonomics, Vol. 44 (2001), No. 3 (March), p. 313-327, 13 ref.

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