Accuracy of Estimates of Step Frequency From a Wearable Gait Monitor | Zendy

Michiel Punt | Zendy; Harriët Wittink | Zendy; F van der Bent | Zendy; Jh van Dieën | Zendy

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Accuracy of Estimates of Step Frequency From a Wearable Gait Monitor

Author(s) -

Michiel Punt,

Harriët Wittink,

F van der Bent,

Jh van Dieën

Publication year - 2015

Publication title -

journal of mobile technology in medicine

Language(s) - English

Resource type - Journals

ISSN - 1839-7808

DOI - 10.7309/jmtm.4.1.2

Subject(s) - accelerometer , trunk , gait , acceleration , treadmill , gait analysis , waist , wearable computer , computer science , simulation , physical medicine and rehabilitation , medicine , physical therapy , physics , embedded system , ecology , classical mechanics , biology , obesity , operating system

The purpose of the study was to assess the accuracy of estimates of step frequency from trunk acceleration data analyzed with commonly used algorithms and time window lengths, at a wide range of gait speeds. Twenty healthy young subjects performed an incremental treadmill protocol from 1 km/h up to 6 km/h, with steps of 1 km/h. Each speed condition was maintained for two minutes. A waist worn accelerometer recorded trunk accelerations, while video analysis provided the correct number of steps taken during each gait speed condition. Accuracy of two commonly used signal analysis methods was examined with several different time windows.

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