DocumentCode :
2942170
Title :
A network-based monitoring system for rehabilitation
Author :
Bae, Joonbum ; Haninger, Kevin ; Wai, Dennis ; Garcia, Xochitl ; Tomizuka, Masayoshi
Author_Institution :
Sch. of Mech. & Adv. Mater. Eng., UNIST (Ulsan Nat. Inst. of Sci. & Technol.), Ulsan, South Korea
fYear :
2012
fDate :
11-14 July 2012
Firstpage :
232
Lastpage :
237
Abstract :
Various techniques have been developed to monitor a patient´s motion for rehabilitation, but many of them are expensive or inadequate for monitoring motions in daily living. In this paper, a network-based monitoring system, which consists of wireless sensor modules, computers at local and remote sites connected via the Internet, and a user-friendly monitoring program, is proposed. The wireless sensor module is an array of lightweight Arduino-powered inertia measurement units (IMUs) with wireless communication powered by the ZigBee protocol. The wireless sensor modules measure kinematic information of a human body, and the measured data is analyzed at the local and host computers which are connected via the Internet. For easy observation and monitoring, a 3D human model is animated in both computers. In order to verify the performance of the proposed system, gait motions are monitored and analyzed by the proposed system with a shoe-type ground reaction force measurement system. The experimental results show that the proposed monitoring system can be used as a method to cheaply and noninvasively provide kinematic information conducive towards rehabilitation for patients, even without the presence of a trained specialist.
Keywords :
Internet; Zigbee; biomedical communication; patient monitoring; protocols; wireless sensor networks; 3D human model; IMU; Internet; ZigBee protocol; kinematic information; lightweight Arduino-powered inertia measurement; monitoring motions; network-based monitoring system; rehabilitation; shoe-type ground reaction force measurement system; user-friendly monitoring program; wireless communication; wireless sensor modules; Computers; Foot; Knee; Monitoring; Wireless communication; Wireless sensor networks; Zigbee;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Intelligent Mechatronics (AIM), 2012 IEEE/ASME International Conference on
Conference_Location :
Kachsiung
ISSN :
2159-6247
Print_ISBN :
978-1-4673-2575-2
Type :
conf
DOI :
10.1109/AIM.2012.6265884
Filename :
6265884
Link To Document :
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