Literature DB >> 23852756

Wearable monitoring of seated spinal posture.

L E Dunne, P Walsh, S Hermann, B Smyth, B Caulfield.   

Abstract

This work describes the evaluation of a wearable plastic optical fiber (POF) sensor for monitoring seated spinal posture, as compared to a conventional expert visual analysis, and the development of a field-deployable posture monitoring system. A garment-integrated POF sensor was developed and tested on nine healthy subjects. Data from the wearable sensor were compared to data taken simultaneously from a marker-based motion capture system, for accuracy and reliability. Peak analysis of the resulting data showed a mean time error of 0.53 plusmn 0.8 s, and a mean value error of 0.64 plusmn 3.1 deg, which represents 14.5% of the average range of motion. Expert determination of transitional (good to bad) posture showed a variation of 20.9% of range of motion. These results indicate that the wearable sensor approximates the accuracy of expert visual analysis, and provides sufficient accuracy of measurement to reliably monitor seated spinal posture.

Year:  2008        PMID: 23852756     DOI: 10.1109/TBCAS.2008.927246

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  5 in total

1.  Motion Tracker: Camera-Based Monitoring of Bodily Movements Using Motion Silhouettes.

Authors:  Jacqueline Kory Westlund; Jacqueline Kory Westlund; Sidney K D'Mello; Andrew M Olney
Journal:  PLoS One       Date:  2015-06-18       Impact factor: 3.240

2.  The role of wearables in spinal posture analysis: a systematic review.

Authors:  Lauren Simpson; Monish M Maharaj; Ralph J Mobbs
Journal:  BMC Musculoskelet Disord       Date:  2019-02-08       Impact factor: 2.362

Review 3.  Commercial Postural Devices: A Review.

Authors:  Nicole Kah Mun Yoong; Jordan Perring; Ralph Jasper Mobbs
Journal:  Sensors (Basel)       Date:  2019-11-23       Impact factor: 3.576

4.  Plastic optical fibre sensor for spine bending monitoring with power fluctuation compensation.

Authors:  Mohd Anwar Zawawi; Sinead O'Keeffe; Elfed Lewis
Journal:  Sensors (Basel)       Date:  2013-10-25       Impact factor: 3.576

5.  A Multi-Parametric Wearable System to Monitor Neck Movements and Respiratory Frequency of Computer Workers.

Authors:  Daniela Lo Presti; Arianna Carnevale; Jessica D'Abbraccio; Luca Massari; Carlo Massaroni; Riccardo Sabbadini; Martina Zaltieri; Joshua Di Tocco; Marco Bravi; Sandra Miccinilli; Silvia Sterzi; Umile G Longo; Vincenzo Denaro; Michele A Caponero; Domenico Formica; Calogero M Oddo; Emiliano Schena
Journal:  Sensors (Basel)       Date:  2020-01-18       Impact factor: 3.576

  5 in total

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