DocumentCode :
1619341
Title :
Automating the assessment of rehabilitative grasp and reach
Author :
Lee, Tracey K M ; Leo, K.H. ; Zhang, S.
Author_Institution :
Sch. of Electr. & Electron. Eng, Singapore Polytech., Singapore, Singapore
fYear :
2011
Firstpage :
1
Lastpage :
5
Abstract :
Accurate clinical assessment of a patient´s condition is paramount to providing the type and intensity of therapy for patients. Currently, typical objective assessments require therapists to subjectively grade various tasks patients have to do. Also, the administration of these assessments are onerous and error prone. In our approach we embed sensors into objects used in the assessments. By using this we are able to accurately measure and assess the ability of a patient to perform various tasks, in this case, grasping and reaching actions. We analyse various ways to measure the movement and thereby obtain a quantitative metric of a patient´s grasping ability. We also are able to capture the nuances of movements which are not easily obtainable by other means. Thus we have the ability to comprehensively profile a subject´s movements in novel and detailed ways which lead to better objective assessments of their behaviour.
Keywords :
biomechanics; patient rehabilitation; assessment automation; clinical assessment; patient movement; rehabilitative grasp; rehabilitative reach; therapy; Acceleration; Accelerometers; Educational institutions; Force; Grasping; Muscles; Sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Communications and Signal Processing (ICICS) 2011 8th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0029-3
Type :
conf
DOI :
10.1109/ICICS.2011.6174254
Filename :
6174254
Link To Document :
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