SEMG-based detection of poor posture: A feasibility study

Haritz Zabaleta*, Cristina Rodriguez-De-Pablo, Nadica Miljkovic, Thierry Keller, Gonzalo A. Garcia

*Autor correspondiente de este trabajo

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

4 Citas (Scopus)

Resumen

The cost of the medical treatment of low back pain (LBP) was estimated to be $24 billion in the early 90s. Also, 80% of the LBP is estimated to be due to poor or inappropriate posture. The ultimate goal of the project is to develop a surface electromyography (sEMG)-based device that could be used to prevent and treat LBP by postural re-education or simply for on-the-spot sEMG feedback. In this paper we present the results and conclusions of a feasibility study for sEMG-based poor posture classifier. The results show that a s-EMG based poor posture classifier could be possible. The sensitivity for the best linear classifier model was 72% and the specificity was 78%. The same signal feature returned very different results from one participant to another. This inter-subject variability could be due to different muscular activation patterns during posture correction.

Idioma originalInglés
Título de la publicación alojada2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
Páginas1210-1213
Número de páginas4
DOI
EstadoPublicada - 2012
Evento34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 - San Diego, CA, Estados Unidos
Duración: 28 ago 20121 sept 2012

Serie de la publicación

NombreProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (versión impresa)1557-170X

Conferencia

Conferencia34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
País/TerritorioEstados Unidos
CiudadSan Diego, CA
Período28/08/121/09/12

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