Med Biol Eng Comput - Quasi real-time gait event detection using shank-attached gyroscopes.

Tópicos

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Resumo

This article describes an ambulatory gait event detection method for long-term monitoring of walking. Aminian et al. [2] have developed an automatic gait event detection algorithm based on shank-attached gyroscope signals. However, this algorithm has a drawback in that it is post-processed. We propose a modified algorithm which detects foot initial and end contact timings using the same concept as in [2], but in quasi real-time. The utilization of the knowledge on gait sequence and peak angular acceleration realizes the quasi real-time detection. Furthermore, to be practical, the algorithm has been developed to ensure the robustness of detection (i.e., without missing the gait events in various speed conditions). Validation of the algorithm using footswitches shows that the algorithm detected the end contacts earlier (-8 ms) and the initial contacts later (19 ms) than the footswitch-based method.

Resumo Limpo

articl describ ambulatori gait event detect method longterm monitor walk aminian et al develop automat gait event detect algorithm base shankattach gyroscop signal howev algorithm drawback postprocess propos modifi algorithm detect foot initi end contact time use concept quasi realtim util knowledg gait sequenc peak angular acceler realiz quasi realtim detect furthermor practic algorithm develop ensur robust detect ie without miss gait event various speed condit valid algorithm use footswitch show algorithm detect end contact earlier ms initi contact later ms footswitchbas method

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