Haptic rehabilitation exercises performance evaluation using automated inference systems

Authors:
Ahmad Barghout;Atif Alamri;Mohamad Eid;Abdulmotaleb El Saddik
Affiliations:
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
Venue:
International Journal of Advanced Media and Communication
Year:
2009

Citing 5
Cited 0

An experiment in linguistic synthesis with a fuzzy logic controller

International Journal of Human-Computer Studies - Special issue: 1969-1999, the 30th anniversary
Haptic Effects for Virtual Reality-Based Post-Stroke Rehabilitation

HAPTICS '03 Proceedings of the 11th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (HAPTICS'03)
A virtual reality-based exercise system for hand rehabilitation post-stroke

Presence: Teleoperators and Virtual Environments - Special issue: Virtual rehabilitation
A guided tour in haptic audio visual environments and applications

International Journal of Advanced Media and Communication
A virtual-reality-based telerehabilitation system with force feedback

IEEE Transactions on Information Technology in Biomedicine

Quantified Score

Hi-index	0.00

Visualization

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.