Haptic rehabilitation exercises performance evaluation using fuzzy inference systems

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

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Nowadays stroke is becoming a leading cause of c.hronic disability in adults. Hand stroke patients loose the ability to control their hands and fingers. Rehabilitation of stroke patients with functional occupational therapy is conducted by training the patient to perform exercises from everyday life. A set of task oriented exercises utilizing haptic virtual environments was developed in our previous work; based on well established and common exercises known as Jebsen Test of Hand Function (JTHF). Quantizing the performance of the patient in an exercise is usually the responsibility of the therapist and is currently performed subjectively. The aim of this paper is to introduce a Fuzzy Inference System (FIS) that is able to utilize haptic data to quantize the patient's performance. However, when testing the system, it has been found that the CyberForce system is incapable of providing normative data for evaluating the patient performance due to calibration and consistency issues.

    Original languageEnglish (US)
    Title of host publicationMeMeA 2008 - IEEE International Workshop on Medical Measurements and Applications Proceedings
    Pages13-18
    Number of pages6
    DOIs
    StatePublished - Sep 8 2008
    EventMeMeA 2008 - IEEE International Workshop on Medical Measurements and Applications - Ottawa, ON, Canada
    Duration: May 9 2008May 10 2008

    Other

    OtherMeMeA 2008 - IEEE International Workshop on Medical Measurements and Applications
    CountryCanada
    CityOttawa, ON
    Period5/9/085/10/08

    Fingerprint

    Occupational therapy
    Exercise Therapy
    Fuzzy inference
    Patient rehabilitation
    Virtual reality
    Calibration
    Testing
    Exercise
    Hand
    Stroke
    Occupational Therapy
    Fingers

    Keywords

    • CyberForce
    • Fuzzy logic
    • Haptics
    • Occupational therapy
    • Rehabilitation
    • Stroke

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Medicine (miscellaneous)

    Cite this

    Barghout, A., Alamri, A., Eid, M., & El Saddik, A. (2008). Haptic rehabilitation exercises performance evaluation using fuzzy inference systems. In MeMeA 2008 - IEEE International Workshop on Medical Measurements and Applications Proceedings (pp. 13-18). [4542989] https://doi.org/10.1109/MEMEA.2008.4542989

    Haptic rehabilitation exercises performance evaluation using fuzzy inference systems. / Barghout, Ahmad; Alamri, Atif; Eid, Mohamad; El Saddik, Abdulmotaleb.

    MeMeA 2008 - IEEE International Workshop on Medical Measurements and Applications Proceedings. 2008. p. 13-18 4542989.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Barghout, A, Alamri, A, Eid, M & El Saddik, A 2008, Haptic rehabilitation exercises performance evaluation using fuzzy inference systems. in MeMeA 2008 - IEEE International Workshop on Medical Measurements and Applications Proceedings., 4542989, pp. 13-18, MeMeA 2008 - IEEE International Workshop on Medical Measurements and Applications, Ottawa, ON, Canada, 5/9/08. https://doi.org/10.1109/MEMEA.2008.4542989
    Barghout A, Alamri A, Eid M, El Saddik A. Haptic rehabilitation exercises performance evaluation using fuzzy inference systems. In MeMeA 2008 - IEEE International Workshop on Medical Measurements and Applications Proceedings. 2008. p. 13-18. 4542989 https://doi.org/10.1109/MEMEA.2008.4542989
    Barghout, Ahmad ; Alamri, Atif ; Eid, Mohamad ; El Saddik, Abdulmotaleb. / Haptic rehabilitation exercises performance evaluation using fuzzy inference systems. MeMeA 2008 - IEEE International Workshop on Medical Measurements and Applications Proceedings. 2008. pp. 13-18
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