SEMG-based detection of poor posture: A feasibility study

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

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publication2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
    Pages1210-1213
    Number of pages4
    DOIs
    Publication statusPublished - 2012
    Event34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 - San Diego, CA, United States
    Duration: 28 Aug 20121 Sept 2012

    Publication series

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

    Conference

    Conference34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
    Country/TerritoryUnited States
    CitySan Diego, CA
    Period28/08/121/09/12

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