Estimation of upper limb impedance parameters using recursive least square estimator

Htoon, Zaw Lay and Sidek, Shahrul Na’im and Fatai, Sado and Rashid, Muhammad Mahbubur (2016) Estimation of upper limb impedance parameters using recursive least square estimator. In: 6th International Conference on Computer and Communication Engineering (ICCCE 2016), 25th-27th July 2016, Kuala Lumpur.

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Abstract

For the past decade, researchers have developed rehabilitation robot based-therapy for post-stroke patients which goal is to complement the traditional manual therapy. However, they are still lacking in terms of measuring the human arm’s impedance that neurorehabilitation therapist used to estimate before deploying a specific training regime. There are numerous assessment strategies exist to estimate the upper limb impedance parameters and movement ability post-stroke, but most of the strategies are subjective though guided by detailed description and the assessment consequence is qualitative rather than quantitative and objective. Hence, there are still remain challenges to unearth assessment strategy that can measure stroke patients’ upper limb impedance parameters in a safe, cost efficient, quantitative, objective and reliable. The paper proposes appropriate mathematical model for a 3-DOF robot-assisted platform for poststroke rehabilitation that has the ability to estimate the upper-limb mechanical impedance parameters using recursive least square estimator method. Preliminary experimental result shows that the upper-limb impedance parameters can be estimated. Therefore, these acquired outcomes could be useful in the interaction between the robot platform and patient undergoes neurorehabilitation therapy.

Item Type:	Conference or Workshop Item (Other)
Additional Information:	3028/54758
Uncontrolled Keywords:	robot-assisted rehabilitation robot; post-stroke; neurorehabilitation; upper-limb impedance parameter; recursive least square estimator
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Dr. Shahrul Naim Sidek
Date Deposited:	29 Mar 2017 09:35
Last Modified:	10 Jan 2019 12:56
URI:	http://irep.iium.edu.my/id/eprint/54758

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