DocumentCode :
628312
Title :
Objective assessment of overexcited hand movements using a lightweight sensory device
Author :
Lee, Sunghoon Ivan ; Ghasemzadeh, Hassan ; Mortazavi, Bobak Jack ; Yew, Andrew ; Getachew, Ruth ; Razaghy, Mehrdad ; Ghalehsari, Nima ; Paak, Brian H. ; Garst, Jordan H. ; Espinal, Marie ; Kimball, Jon ; Lu, Daniel C. ; Sarrafzadeh, Majid
Author_Institution :
Computer Science Department, University of California Los Angeles (UCLA), Los Angeles, USA
fYear :
2013
fDate :
6-9 May 2013
Firstpage :
1
Lastpage :
6
Abstract :
Hyperexcitability in hand is a disorder characterized by exaggerated muscle movement, and is a common symptom associated with neuro-degenerative diseases and spinal cord injuries. Current assessment methods for hyperexcitability rely on subjective examination, or on methods that evaluate the overall hand grip performance without particularization in the excitation. This paper introduces a system that utilizes an inexpensive body sensor device combined with a series of signal processing units that extract information specifically related to physiological phenomena generated by hyperexcitability. A clinical cohort study has been conducted on nine patients with cervical spinal cord injuries (mean age 58.2 ± 13.5). The experimental results show that the proposed signal processing mechanism accurately detects and analyzes the body signal. The medical significance of the experimental results is also investigated. This opens up a new opportunity for patients and clinical professionals to obtain accurate feedback of patient´s motor function in an economical and ubiquitous manner.
Keywords :
Muscles; Performance evaluation; Physiology; Sensors; Signal processing; Springs; Surgery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Body Sensor Networks (BSN), 2013 IEEE International Conference on
Conference_Location :
Cambridge, MA, USA
ISSN :
2325-1425
Print_ISBN :
978-1-4799-0331-3
Type :
conf
DOI :
10.1109/BSN.2013.6575498
Filename :
6575498
Link To Document :
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