Surface electromyography analysis in long-term recordings: application to head rest comfort in cars.
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 seg...
| Publicado en: | Ergonomics Vol. 44; no. 3; pp. 313 - 328 |
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| Autores principales: | , |
| Formato: | clinical trial research Journal Article |
| Publicado: |
Taylor & Francis Ltd
2/20/2001
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | 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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