NDLI: A method to qualitatively assess arm use in stroke survivors in the home environment

Content Provider	Springer Nature Link
Author	Leuenberger, Kaspar Gonzenbach, Roman Wachter, Susanne Luft, Andreas Gassert, Roger
Copyright Year	2016
Abstract	Wearable sensor technology has enabled unobtrusive monitoring of arm movements of stroke survivors in the home environment. However, the most widely established method, based on activity counts, provides quantitative rather than qualitative information on arm without functional insights, and is sensitive to passive arm movements during ambulatory activities. We propose a method to quantify functionally relevant arm use in stroke survivors relying on a single wrist-worn inertial measurement unit. Orientation of the forearm during movements is measured in order identify gross arm movements. The method is validated in 10 subacute/chronic stroke survivors wearing inertial sensors at 5 anatomical locations for 48 h. Measurements are compared to conventional activity counts and to a test for gross manual dexterity. Duration of gross arm movements of the paretic arm correlated significantly better with the Box and Block Test ( $$r=0.95$$ ) than conventional activity counts when walking phases were included ( $$r=0.69$$ ), and similar results were found when comparing ratios of paretic and non-paretic arms for gross movements and activity counts. The proposed gross arm movement metric is robust against passive arm movements during ambulatory activities and requires only a single-sensor module placed at the paretic wrist for the assessment of functionally relevant arm use.
Starting Page	141
Ending Page	150
Page Count	10
File Format	PDF
ISSN	01400118
Journal	Medical and Biological Engineering and Computing
Volume Number	55
Issue Number	1
e-ISSN	17410444
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2016-04-22
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Monitoring Upper extremity Activities of daily living Rehabilitation Stroke Human Physiology Biomedical Engineering Imaging Radiology Computer Applications
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering Computer Science Applications

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