NDLI: Analyzing 180° turns using an inertial system reveals early signs of progression of parkinson's disease

Content Provider	IEEE Xplore Digital Library
Author	Salarian, A. Zampieri, C. Horak, F.B. Carlson-Kuhta, P. Nutt, J.G. Aminian, K.
Copyright Year	2009
Description	Author affiliation: Department of Neurology, University of Maryland, Baltimore, MD, USA (Zampieri, C.) \|\| Department of Neurology, Oregon Health & Science University, Portland, OR, USA (Salarian, A.; Horak, F.B.; Nutt, J.G.) \|\| Department of neurology, Oregon Health & Science University, Portland, OR, USA (Carlson-Kuhta, P.) \|\| Laboratory of Movement Analysis and Measurement (LMAM), Ecole Polytechnique Fédéral de Lausanne (EPFL), Switzerland (Aminian, K.)
Abstract	Changes in turning are one of the early motor deficiencies in Parkinson's Disease (PD). We have proposed a system based on wearable, inertial sensors and a novel automatic analysis algorithm that can assess 180° turns. Twelve patients in early stages of PD and 14 age-matched healthy subjects were enrolled in this study. Inertial sensors were attached on shanks and sternum. Measurement protocol included walking on a straight pathway, turning 180° and returning back. Subjects were measured 4 times, once every 6 months during an 18 months period. At the baseline, 9 subjects from each group repeated the test twice to assess test-retest reliability. Patients with mild PD had a very low Postural Instability Gait Difficulty (PIGD subscore of UPDRS III) score (average 0.67, min 0, max 3). The analysis showed that the patients had a significantly longer turning duration (2.18±0.43 vs. 1.79±0.27 seconds, p<0.02) and longer delay in their last step before initiating a turn (0.56±0.04 vs. 0.52±0.04 seconds, p<0.03). Estimated turning duration and other metrics had a high test-retest reliability (ρ>0.85). Turning duration also showed a significant Group∗Time interaction (p<0.03) during the longitudinal study highlighting early signs of the progression of the disease.
Starting Page	224
Ending Page	227
File Size	1205040
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5333970
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Parkinson's disease Turning Testing Wearable sensors Sensor systems Algorithm design and analysis Sternum Protocols Legged locomotion Delay
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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