Title: Haptic rehabilitation exercises performance evaluation using automated inference systems

Authors: Ahmad Barghout, Atif Alamri, Mohamad Eid, Abdulmotaleb El Saddik

Addresses: Multimedia and Communication Research Laboratory, University of Ottawa, Canada. ' Multimedia and Communication Research Laboratory, University of Ottawa, Canada. ' Multimedia and Communication Research Laboratory, University of Ottawa, Canada. ' Multimedia and Communication Research Laboratory, University of Ottawa, Canada

Abstract: Haptics and virtual environments offer the opportunity to improve the traditional methods of stroke rehabilitation. Traditionally, a therapist has to subjectively evaluate the patient|s performance. This paper aims to introduce an automated inference system that utilises haptic data to quantise the patient|s performance. Two systems were implemented: a Fuzzy Inference System (FIS) and an Adaptive Neuro-Fuzzy Inference System (ANFIS). The two systems were validated with sample input/output datasets. Testing with real subjects| data has led to the conclusion that the CyberForce system is incapable of providing normative data for evaluating the patient performance due to calibration and consistency issues. This is an expanded version of a paper presented at the 3rd IEEE International Workshop on Medical Measurements and Applications, 9–10 May 2008, Ottawa, ON, Canada.

Keywords: haptics; occupational therapy; stroke rehabilitation; stroke; JTHF; Jebsen test of hand function; fuzzy logic; ANFIS; adaptive neuro-fuzzy inference systems; CyberForce; stroke patients; fuzzy inference; calibration; consistency.

DOI: 10.1504/IJAMC.2009.026861

International Journal of Advanced Media and Communication, 2009 Vol.3 No.1/2, pp.197 - 214

Published online: 27 Jun 2009 *

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