Literature DB >> 18487266

Detection of walking periods and number of steps in older adults and patients with Parkinson's disease: accuracy of a pedometer and an accelerometry-based method.

Baukje Dijkstra1, Wiebren Zijlstra, Erik Scherder, Yvo Kamsma.   

Abstract

The aim of this study was to examine if walking periods and number of steps can accurately be detected by a single small body-fixed device in older adults and patients with Parkinson's disease (PD). Results of an accelerometry-based method (DynaPort MicroMod) and a pedometer (Yamax Digi-Walker SW-200) worn on each hip were evaluated against video observation. Twenty older adults and 32 PD patients walked straight-line trajectories at different speeds, of different lengths and while doing secondary tasks in an indoor hallway. Accuracy of the instruments was expressed as absolute percentage error (older adults versus PD patients). Based on the video observation, a total of 236.8 min of gait duration and 24,713 steps were assessed. The DynaPort method predominantly overestimated gait duration (10.7 versus 11.1%) and underestimated the number of steps (7.4 versus 6.9%). Accuracy decreased significantly as walking distance decreased. Number of steps were also mainly underestimated by the pedometers, the left Yamax (6.8 versus 11.1%) being more accurate than the right Yamax (11.1 versus 16.3%). Step counting of both pedometers was significantly less accurate for short trajectories (3 or 5 m) and as walking pace decreased. It is concluded that the Yamax pedometer can be reliably used for this study population when walking at sufficiently high gait speeds (>1.0 m/s). The accelerometry-based method is less speed-dependent and proved to be more appropriate in the PD patients for walking trajectories of 5 m or more.

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Year:  2008        PMID: 18487266     DOI: 10.1093/ageing/afn097

Source DB:  PubMed          Journal:  Age Ageing        ISSN: 0002-0729            Impact factor:   10.668


  34 in total

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4.  Adaptive empirical pattern transformation (ADEPT) with application to walking stride segmentation.

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Journal:  Biostatistics       Date:  2021-04-10       Impact factor: 5.899

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6.  Step detection using multi- versus single tri-axial accelerometer-based systems.

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8.  Assessment of gait kinetics in post-menopausal women using tri-axial ankle accelerometers during barefoot walking.

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Review 9.  Physical Activity Monitoring in Patients with Neurological Disorders: A Review of Novel Body-Worn Devices.

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