An adaptive real-time algorithm to detect gait events using inertial sensors

N. Chia Bejarano, E. Ambrosini, A. Pedrocchi, G. Ferrigno, M. Monticone, S. Ferrante

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This study aimed at developing an adaptive algorithm to detect in real time temporal gait events, based on data acquired from inertial and magnetic measurement units. Trials on 9 healthy subjects were performed to select the best body locations for the sensors out of 8 different possibilities, trying to optimize system portability, data intervariability and real-time algorithm simplicity. Subjects walked over the GaitRite mat at different self-selected speeds: normal, fast, and slow. Results showed a significantly low variability (p

Original languageEnglish
Title of host publicationIFMBE Proceedings
Pages1799-1802
Number of pages4
Volume41
DOIs
Publication statusPublished - 2014
Event13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013, MEDICON 2013 - Seville, Spain
Duration: Sep 25 2013Sep 28 2013

Other

Other13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013, MEDICON 2013
CountrySpain
CitySeville
Period9/25/139/28/13

Keywords

  • Ambulatory system
  • Gait temporal parameters
  • IMMS
  • Real-time processing

ASJC Scopus subject areas

  • Biomedical Engineering
  • Bioengineering

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  • Cite this

    Bejarano, N. C., Ambrosini, E., Pedrocchi, A., Ferrigno, G., Monticone, M., & Ferrante, S. (2014). An adaptive real-time algorithm to detect gait events using inertial sensors. In IFMBE Proceedings (Vol. 41, pp. 1799-1802) https://doi.org/10.1007/978-3-319-00846-2_444