NDLI: Quantitative assessment of motor deficit with an intelligent key Object: A Pilot Study

Content Provider	IEEE Xplore Digital Library
Author	Hussain, A. Dailey, W. Balasubramanian, S. Jarrasse, N. Samuelkamaleshkumar, S. Devasahayam, S. Burdet, E.
Copyright Year	2015
Description	Author affiliation: Rehabilitation Inst., Christian Med. Coll., Vellore, India (Samuelkamaleshkumar, S.) \|\| Dept. of Bioeng., Coll. of Sci., Technol. & Med., London, UK (Hussain, A.; Dailey, W.; Burdet, E.) \|\| Dept. of Bioeng., Christian Med. Coll., Vellore, India (Balasubramanian, S.; Devasahayam, S.) \|\| Inst. des Syst. Intelligents et de Robot., Univ. Pierre et Marie Curie, Paris, France (Jarrasse, N.)
Abstract	Conventional assessment of sensorimotor functions is carried out using standard clinical scales which are subjective and insufficiently sensitive to changes in motor performance. Alternatively, sensor based systems offer a quantitative approach to motor assessment. We have designed a set of low cost, easy to use instrumented objects to assess a subject's performance during skilled tasks. In this pilot study we discuss the design of one object, the intelligent key, and describe how it can be used to assess a subject's performance during fine manipulation tasks using the proposed metrics and techniques. Three subjects with motor disability and one healthy subject participated in this study. Subjects performed insertion and rotation tasks that mimic the skills used in day to day key manipulation. A threshold detector algorithm based on Teager Energy Operator was applied to the object acceleration signal to quantify time spent struggling with the task and Spectral Arc Length was used to assess the smoothness of pronation/supination. Overall, the results indicate that increased difficulty in task performance correlates with decreased smoothness in task performance.
Starting Page	247
Ending Page	252
File Size	483576
Page Count	6
File Format	PDF
ISSN	19457901
e-ISBN	9781479918089
DOI	10.1109/ICORR.2015.7281207
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-11
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Force Detectors Robot sensing systems Acceleration Standards
Content Type	Text
Resource Type	Article
Subject	Rehabilitation Control and Systems Engineering Electrical and Electronic Engineering

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