Verification of accuracy and validity of gait phase detection system using motion sensors for applying walking assistive FES

Sunwoo Park, Kihong Ryu, Jungyoon Kim, Jongsang Son, Youngho Kim*

*Corresponding author for this work

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

In this study, we have analysed heel strike (HS) and toe off (TO) of normal individuals and hemiplegic patients, taking advantage of output curves acquired from various sensors, and verified the validity of sensor detection methods and their effectiveness when they were used for hemiplegic gaits. Gait phase detections using three different motion sensors were valid, since they all had reliabilities more than 95%, when compared with foot velocity algorithm. Results showed that the tilt sensor and the gyrosensor could detect gait phase more accurately in normal individuals. Vertical acceleration could detect HS most accurately in hemiplegic patient group A. The gyrosensor could detect HS and TO most accurately in hemiplegic patient groups A and B. The detection of TO from all sensor signals was valid in both the patient groups A and B. However, the vertical acceleration detected HS validly in patient group A and the gyrosensor detected HS validly in patient group B.

Original languageEnglish (US)
Pages (from-to)1129-1135
Number of pages7
JournalComputer Methods in Biomechanics and Biomedical Engineering
Volume15
Issue number11
DOIs
StatePublished - Nov 1 2012

Keywords

  • functional electrical stimulation
  • gait phase detection
  • motion sensor
  • walking assistive

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering
  • Human-Computer Interaction
  • Computer Science Applications

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