Estimation of upper limb impedance parameters using recursive least square estimator
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 estim...
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my.iium.irep.547582019-01-10T04:56:09Z http://irep.iium.edu.my/54758/ Estimation of upper limb impedance parameters using recursive least square estimator Htoon, Zaw Lay Sidek, Shahrul Na’im Fatai, Sado Rashid, Muhammad Mahbubur T Technology (General) 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. IEEE 2016 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/54758/1/54758.pdf application/pdf en http://irep.iium.edu.my/54758/2/54758-Estimation%20of%20Upper%20Limb%20Impedance%20Parameters%20Using%20Recursive%20Least%20Square%20Estimator_SCOPUS.pdf 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. http://ieeexplore.ieee.org/document/7808299/ 10.1109/ICCCE.2016.41 |
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T Technology (General) Htoon, Zaw Lay Sidek, Shahrul Na’im Fatai, Sado Rashid, Muhammad Mahbubur Estimation of upper limb impedance parameters using recursive least square estimator |
description |
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. |
format |
Conference or Workshop Item |
author |
Htoon, Zaw Lay Sidek, Shahrul Na’im Fatai, Sado Rashid, Muhammad Mahbubur |
author_facet |
Htoon, Zaw Lay Sidek, Shahrul Na’im Fatai, Sado Rashid, Muhammad Mahbubur |
author_sort |
Htoon, Zaw Lay |
title |
Estimation of upper limb impedance parameters using recursive least square estimator |
title_short |
Estimation of upper limb impedance parameters using recursive least square estimator |
title_full |
Estimation of upper limb impedance parameters using recursive least square estimator |
title_fullStr |
Estimation of upper limb impedance parameters using recursive least square estimator |
title_full_unstemmed |
Estimation of upper limb impedance parameters using recursive least square estimator |
title_sort |
estimation of upper limb impedance parameters using recursive least square estimator |
publisher |
IEEE |
publishDate |
2016 |
url |
http://irep.iium.edu.my/54758/1/54758.pdf http://irep.iium.edu.my/54758/2/54758-Estimation%20of%20Upper%20Limb%20Impedance%20Parameters%20Using%20Recursive%20Least%20Square%20Estimator_SCOPUS.pdf http://irep.iium.edu.my/54758/ http://ieeexplore.ieee.org/document/7808299/ |
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13.18916 |