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Journal Articles Ergonomics Year : 2010

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

(1) ,
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Thibault Lamotte
  • Function : Author

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 longterm 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.
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Dates and versions

hal-02362969 , version 1 (14-11-2019)

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Jacques Duchene, Thibault Lamotte. Surface electromyography analysis in long-term recordings: application to head rest comfort in cars. Ergonomics, 2010, 44 (3), pp.313-327. ⟨10.1080/00140130118427⟩. ⟨hal-02362969⟩
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