Novel smart sensor glove for arthritis rehabiliation

Brendan O'Flynn, Javier Torres Sanchez, Philip Angove, James Connolly, Joan Condell, Kevin Curran, Philip Gardiner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

27 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Body Sensor Networks, BSN 2013
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE International Conference on Body Sensor Networks, BSN 2013 - Cambridge, MA, United States
Duration: 6 May 20139 May 2013

Publication series

Name2013 IEEE International Conference on Body Sensor Networks, BSN 2013

Conference

Conference2013 IEEE International Conference on Body Sensor Networks, BSN 2013
Country/TerritoryUnited States
CityCambridge, MA
Period6/05/139/05/13

Keywords

  • Assisted Living
  • Microsystem
  • Rehabilitation
  • Wireless Sensor Networks
  • flexible PCB design

Fingerprint

Dive into the research topics of 'Novel smart sensor glove for arthritis rehabiliation'. Together they form a unique fingerprint.

Cite this