DocumentCode
628343
Title
Novel smart sensor glove for arthritis rehabiliation
Author
O´Flynn, Brendan ; Torres, Javier ; Connolly, James ; Condell, Joan ; Curran, Kevin ; Gardiner, Philip
Author_Institution
Sanchez, Philip Angove, Tyndall National Institute, University College Cork, Cork, Ireland
fYear
2013
fDate
6-9 May 2013
Firstpage
1
Lastpage
6
Abstract
Rheumatoid Arthritis (RA) is a disease which attacks the synovial tissue lubricating skeletal joints. This systemic condition affects the musculoskeletal system, including bones, joints, muscles and tendons that contribute to loss of function and Range of Motion (ROM). Traditional measurement of arthritis requires labour intensive personal examination by medical staff which through their objective measures may hinder the enactment and analysis of arthritis rehabilitation. This paper presents the development of a smart glove to facilitate this rehabilitative process through the integration of sensors, processors and wireless technology to empirically measure ROM. The Tyndall/University of Ulster glove uses a combination of 20 bend sensors, 16 tri-axial accelerometers and 11 force sensors to detect joint movement. All sensors are placed on a flexible PCB to provide high levels of flexibility and sensor stability. The system operation means that the glove does not require calibration for each glove wearer.
Keywords
Accelerometers; Calibration; Data gloves; Joints; Sensors; Thumb; Assisted Living; Microsystem; Rehabilitation; Wireless Sensor Networks; flexible PCB design;
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.2013.6575529
Filename
6575529
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