2015Unpublished venueRequires access

Design of movement sequences for arm rehabilitation of post-stroke

Rashidah Suhaimi, Kamil S. Talha, Wan Khairunizam, Mohd Asri Ariffin

Open publisher page 9 citations

Abstract

This article presents the design of movement sequences for arm rehabilitation of stroke patient. The objective of this research is to develop the best movement sequences suitable for arm rehabilitation of hemiparesis sufferers based on the features analyzed that represent muscle activity. 8 healthy subjects including both male and female performed four arm movement sequences task consist of arm lifting and reaching movement in real environment. Muscle activities are recorded using electromyography (EMG) involving deltoid anterior, deltoid lateral, biceps and triceps. Based on the previous research, Amount of movement (AOM) feature is calculated to observe the muscle activation for each movement sequence task. The experimental results show that it is likely to produce optimum arm movement sequences for arm rehabilitation and the sequences are suitable to deploy in virtual reality in future research.

About this research paper

What this paper is about

This article presents the design of movement sequences for arm rehabilitation of stroke patient. The objective of this research is to develop the best movement sequences suitable for arm rehabilitation of hemiparesis sufferers based on the features analyzed that represent muscle activity. 8 healthy subjects including both male and female performed four arm movement sequences task consist of arm lifting and reaching movement in real environment. Muscle activities are recorded using electromyography (EMG) involving deltoid anterior, deltoid lateral, biceps and triceps. Based on the previous research, Amount of movement (AOM) feature is calculated to observe the muscle activation for each movement sequence task. The experimental results show that it is likely to produce optimum arm movement sequences for arm rehabilitation and the sequences are suitable to deploy in virtual reality in future research.

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Available abstract

This article presents the design of movement sequences for arm rehabilitation of stroke patient. The objective of this research is to develop the best movement sequences suitable for arm rehabilitation of hemiparesis sufferers based on the features analyzed that represent muscle activity. 8 healthy subjects including both male and female performed four arm movement sequences task consist of arm lifting and reaching movement in real environment. Muscle activities are recorded using electromyography (EMG) involving deltoid anterior, deltoid lateral, biceps and triceps. Based on the previous research, Amount of movement (AOM) feature is calculated to observe the muscle activation for each movement sequence task. The experimental results show that it is likely to produce optimum arm movement sequences for arm rehabilitation and the sequences are suitable to deploy in virtual reality in future research.

Key concepts: Biceps, Movement (music), Rehabilitation, Physical medicine and rehabilitation, Hemiparesis, Deltoid muscle, Deltoid curve, Electromyography

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