DocumentCode
2981118
Title
Quantitative evaluation of Parkinson´s disease using sensor based smart glove
Author
Niazmand, K. ; Tonn, K. ; Kalaras, A. ; Fietzek, U.M. ; Mehrkens, J.H. ; Lueth, T.C.
Author_Institution
Dept. Micro Technol. & Med. Device Technol., Tech. Univ. Muenchen, Garching, Germany
fYear
2011
fDate
27-30 June 2011
Firstpage
1
Lastpage
8
Abstract
Parkinson´s disease (PD) is a chronic neurodegenerative movement disorder. The motor status of patients with PD can be characterized by the Unified Parkinson´s disease rating scale (UPDRS). However, the UPDRS evaluates the movement disorders on a descriptive level only. Diagnosis and therapy of PD could be augmented if a quantitative assessment could be implemented. Thus, a wireless wearable sensor system for the evaluation of severity of motor dysfunction in PD was developed. The system was integrated into a smart glove. This glove has two touch sensors, two 3D-accelerometers and a force sensor to assess the cardinal motor symptoms of PD (bradykinesia, tremor and rigidity of hand and arm). In this paper we describe the setup of the glove and initial results.
Keywords
accelerometers; body sensor networks; diseases; force sensors; intelligent sensors; medical disorders; neurophysiology; patient diagnosis; patient treatment; shear modulus; tactile sensors; Parkinson´s disease; SD accelerometers; bradykinesia; cardinal motor; cardinal motor symptoms; chronic neurodegenerative movement disorder; force sensor; motor dysfunction; quantitative assessment; rigidity; sensor based smart glove; touch sensors; wireless wearable sensor system; Acceleration; Accelerometers; Fingers; Force sensors; Tactile sensors; Textiles; Wrist; Parkinson´s disease quantification; accelerometer; bradykinesia; force sensor; rigidity; smart glove; touch sensor; tremor;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Based Medical Systems (CBMS), 2011 24th International Symposium on
Conference_Location
Bristol
ISSN
1063-7125
Print_ISBN
978-1-4577-1189-3
Type
conf
DOI
10.1109/CBMS.2011.5999113
Filename
5999113
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