DocumentCode
2092747
Title
Automated Wolf Motor Function Test (WMFT) for Upper Extremities Rehabilitation
Author
Huang, Yiran ; Rofouei, Mahsan ; Sarrafzadeh, Majid
Author_Institution
Dept. of Comput. Sci., Univ. of California, Los Angeles, Los Angeles, CA, USA
fYear
2012
fDate
9-12 May 2012
Firstpage
91
Lastpage
96
Abstract
The Wolf Motor Function Test (WMFT), which involves real time timing measurements, is used to define the functional ability of the paretic limb of post stroke patients. The accuracy and consistency of the timing results are crucial for scoring, while manual stopwatch measuring introduces mistakes and uncertainty. A technique which uses camera and sensors to automate the test and achieve accurate results is proposed here. This system measures time for seven tasks with a monitor camera and a Xilinx Virtex II Pro Field Programmable Gate Array (FPGA). The FPGA was mainly chosen for its better performance compared to general purpose System on Chip (SoC) for computational intensive tasks, such as image processing in this system. The accuracy of the system has been validated in a user study on selected WMFT tasks with ground truth time measurement obtained from pressure sensors. Suggestions are also given on how the framework can be adapted to the remaining tasks.
Keywords
biomedical equipment; biomedical measurement; cameras; field programmable gate arrays; medical image processing; neurophysiology; patient rehabilitation; pressure sensors; time measurement; FPGA; WMFT tasks; Xilinx Virtex II pro field programmable gate array; automated wolf motor function test; computational intensive tasks; functional ability; ground truth time measurement; image processing; monitor camera; paretic limb; post stroke patients; pressure sensors; real time timing measurements; upper extremity rehabilitation; Accuracy; Cameras; Field programmable gate arrays; Manuals; Sensors; Timing; Field Programmable Gate Array; Wolf Motor Function Test; automation; stoke; timing;
fLanguage
English
Publisher
ieee
Conference_Titel
Wearable and Implantable Body Sensor Networks (BSN), 2012 Ninth International Conference on
Conference_Location
London
Print_ISBN
978-1-4673-1393-3
Type
conf
DOI
10.1109/BSN.2012.27
Filename
6200540
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