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Dataset Information

Gait event detection using a thigh-worn accelerometer.


ABSTRACT:

Background

Gait event detection is critical for remote gait analysis. Algorithms using a thigh-worn accelerometer for estimating spatiotemporal gait variables have demonstrated clinical utility in monitoring the gait of patients with gait and balance impairment. However, one may obtain accurate estimates of spatiotemporal variables, but with biased estimates of foot contact and foot off events. Some biomechanical analyses depend on accurate gait phase segmentation, but previous studies using a thigh-worn accelerometer have not quantified the error in estimating foot contact and foot off events.

Methods

Gait events and spatiotemporal gait variables were estimated using a thigh-worn accelerometer from 32 healthy subjects across a range of walking speeds (0.56-1.78 m/s). Ground

SUBMITTER: Gurchiek RD 

PROVIDER: S-EPMC7388785 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature