NDLI: Wrist proprioceptive acuity: A comprehensive robot-aided assessment

Content Provider	IEEE Xplore Digital Library
Author	Cappello, L. Contu, S. Konczak, J. Masia, L.
Copyright Year	2015
Description	Author affiliation: Sch. of Mech. & Aerosp. Eng., Nanyang Technol. Univ., Singapore, Singapore (Contu, S.; Masia, L.) \|\| Sch. of Kinesiology, Univ. of Minnesota, Minneapolis, MN, USA (Konczak, J.) \|\| Brain & Cognitive Sci. Dept., Ist. Italiano di Tecnol., Genoa, Italy (Cappello, L.)
Abstract	Proprioception is the sense of the body awareness. Proprioceptive deficits represent frequent consequences of several neurological conditions like stroke, Parkinson's disease and others. The assessment of such somatosensory function is crucial, although the available clinical tests are not sensitive enough. The human wrist is a crucial joint for many activities of daily living and to address the lack of its characterization in terms of proprioceptive acuity the authors in previous studies proposed a novel method that combined the use of a 3-DoF robot and a threshold haunting paradigm. Further experiments were performed to characterize the proprioceptive acuity of the dominant wrist for adduction, extension, pronation and supination by using a 2-alternative-forced-choice test. The acuity thresholds obtained from six subjects (mean values ± standard deviation of 1.65±0.39 for extension, 1.13±0.34 for adduction, 1.90±0.58 for pronation and 1.70±0.30 for supination) were finally combined with the ones harvested in the previous studies for flexion and abduction in order to build the first comprehensive database of human wrist proprioceptive acuity.
Starting Page	3594
Ending Page	3597
File Size	2719562
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7319170
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wrist Robot sensing systems Joints Standards Reliability Ligaments
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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