A Step towards Developing a Virtual Reality Based Rehabilitation System for Post-Stroke Hand Movement Disorder

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dc.contributor.advisor Lahiri, Uttama
dc.contributor.author Bhattacharya, Sutapa
dc.date.accessioned 2014-09-16T10:56:32Z
dc.date.available 2014-09-16T10:56:32Z
dc.date.issued 2014-06
dc.identifier.citation Bhattacharya, Sutapa (2014). Step towards developing a virtual reality based rehabilitation system for post- stroke hand movement disorder. Gandhinagar: Indian Institute of Technology Gandhinagar, 63p. (Acc. No.: T00025). en_US
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/1402
dc.description.abstract Stroke is a leading cause of adult death and disability, often followed by muscle weakness, loss of control and coordination in limbs and movement disorders. Consequently, stroke-surviving individuals with hemiplegia are often unable to perform simple tasks like opening and closing of their affected (unhealthy) hand, making them dependent on a caregiver for day-to-day activities. At the same time their healthy hand retains ability for normal activities. Rehabilitation aims to improve their ability to use their affected hand similar to their use of healthy hand. The degree of closure (flexion) of one’s hand can be mapped from surface Electromyogram (sEMG) signal of Flexor Carpi Radialis muscle present on the anterior side of one’s forearm. The different degrees of flexion can be classified with the help of Support Vector Machines (SVM) using the sEMG signals from the Flexor Carpi Radialis muscle. In this study we developed a proof-of-concept Virtual Reality based real-time rehabilitative system for post-stroke hand movement disorder. Our developed system uses the sEMG data obtained from the healthy hand of stroke-surviving individuals as training dataset for classifying the degree of flexion of their respective stroke-affected hand while they interact with the VR-based tasks, and triggers therapeutic electrical stimulation to be applied to the muscles of the unhealthy hand of the stroke-surviving individuals based on their performance feedback. This system can be used by the patient at home as per his convenience, with minimal dependency on a physiotherapist or a caregiver. The preliminary results of testing and feasibility studies suggest that the hand flexion and extension skills of the participants (six able-bodied and two stroke-surviving persons) improved with repeated attempts. This indicates that our system has the potential to take a definite step towards becoming a simple, technology-assisted solution for rehabilitation of hand movement disorder. en_US
dc.description.statementofresponsibility by Sutapa Bhattacharya
dc.format.extent xii, 63p.: Col.; ill.; 30 cm. + 1 CD-ROM
dc.language.iso en en_US
dc.publisher Indian Institute of Technology, Gandhinagar en_US
dc.subject Electromyogram en_US
dc.subject Movement Disorder en_US
dc.subject Rehabilitation System en_US
dc.subject Support Vector Machines (SVM) en_US
dc.title A Step towards Developing a Virtual Reality Based Rehabilitation System for Post-Stroke Hand Movement Disorder en_US
dc.type Thesis en_US
dc.contributor.department Electrical Engineering
dc.description.degree M.Tech.


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