Literature DB >> 28433867

Validity and repeatability of inertial measurement units for measuring gait parameters.

Edward P Washabaugh1, Tarun Kalyanaraman2, Peter G Adamczyk3, Edward S Claflin2, Chandramouli Krishnan4.   

Abstract

Inertial measurement units (IMUs) are small wearable sensors that have tremendous potential to be applied to clinical gait analysis. They allow objective evaluation of gait and movement disorders outside the clinic and research laboratory, and permit evaluation on large numbers of steps. However, repeatability and validity data of these systems are sparse for gait metrics. The purpose of this study was to determine the validity and between-day repeatability of spatiotemporal metrics (gait speed, stance percent, swing percent, gait cycle time, stride length, cadence, and step duration) as measured with the APDM Opal IMUs and Mobility Lab system. We collected data on 39 healthy subjects. Subjects were tested over two days while walking on a standard treadmill, split-belt treadmill, or overground, with IMUs placed in two locations: both feet and both ankles. The spatiotemporal measurements taken with the IMU system were validated against data from an instrumented treadmill, or using standard clinical procedures. Repeatability and minimally detectable change (MDC) of the system was calculated between days. IMUs displayed high to moderate validity when measuring most of the gait metrics tested. Additionally, these measurements appear to be repeatable when used on the treadmill and overground. The foot configuration of the IMUs appeared to better measure gait parameters; however, both the foot and ankle configurations demonstrated good repeatability. In conclusion, the IMU system in this study appears to be both accurate and repeatable for measuring spatiotemporal gait parameters in healthy young adults.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Accuracy; Biomechanics; Gait detection; Inertial sensors; Wearable; Wearable devices

Mesh:

Year:  2017        PMID: 28433867      PMCID: PMC5507609          DOI: 10.1016/j.gaitpost.2017.04.013

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  47 in total

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7.  Effects of real-time gait biofeedback on paretic propulsion and gait biomechanics in individuals post-stroke.

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Review 8.  A review of computational approaches for evaluation of rehabilitation exercises.

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9.  Normative database of spatiotemporal gait parameters using inertial sensors in typically developing children and young adults.

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