title: Development of a fuzzy logic based intelligent system for autonomous guidance of post-stroke rehabilitation exercise.
abstract: This paper presents preliminary studies in developing a fuzzy logic based intelligent system for autonomous post-stroke upper-limb rehabilitation exercise. The intelligent system autonomously varies control parameters to generate different haptic effects on the robotic device. The robotic device is able to apply both resistive and assistive forces for guiding the patient during the exercise. The fuzzy logic based decision-making system estimates muscle fatigue of the patient using exercise performance and generates a combination of resistive and assistive forces so that the stroke survivor can exercise for longer durations with increasing control. The fuzzy logic based system is initially developed using a study with healthy subjects and preliminary results are also presented to validate the developed system with healthy subjects. The next stage of this work will collect data from stroke survivors for further development of the system.
authors.forename: Rajibul
authors.initials: R
authors.lastname: Huq
authors.forename: Rosalie
authors.initials: R
authors.lastname: Wang
authors.forename: Elaine
authors.initials: E
authors.lastname: Lu
authors.forename: Debbie
authors.initials: D
authors.lastname: Hebert
authors.forename: Hervé
authors.initials: H
authors.lastname: Lacheray
authors.forename: Alex
authors.initials: A
authors.lastname: Mihailidis
mesh_terms: D000328:Adult; D001132:Arm / Q000503:physiopathology; D005081:Exercise Therapy / Q000295:instrumentation* / Q000379:methods; D005260:Female; D017143:Fuzzy Logic; D006801:Humans; D008297:Male; D012371:Robotics / Q000295:instrumentation*; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation; D000071939:Stroke Rehabilitation; D055815:Young Adult