IIUM Repository

Upper-limb impedance parameters-based model for motor recovery

Htoon, Zaw Lay and Sidek, Shahrul Na'im (2017) Upper-limb impedance parameters-based model for motor recovery. IIUM Press, International Islamic University Malaysia, Kuala Lumpur, Malaysia. ISBN 978-967-418-476-6

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Abstract

Estimation of patients’ muscle tones allow proper prescription of therapy and determination of physical recovery progress. The book proposes a strategy for the estimation of upper-limb mechanical impedance parameters as a mean for the prediction and assessment of subjects’ muscle tone level and recovery state. The human upper-limb is modeled as a mass-spring-damper system and represented as an Auto Regressive eXogenous (ARX) dynamic equation for the estimation of upper-limb mechanical impedance parameters. The estimated impedance parameters are then fed as inputs to a trained Artificial Neural Network (ANN) which is used to predict, the subjects’ muscle tone level and recovery state during rehabilitation exercise.

Item Type: Book
Additional Information: 3028/65972
Uncontrolled Keywords: Upper-limb impedance parameters-based, motor recovery
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Dr. Shahrul Naim Sidek
Date Deposited: 29 Aug 2018 10:35
Last Modified: 29 Aug 2018 10:35
URI: http://irep.iium.edu.my/id/eprint/65972

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