Design of virtual reality-enabled surface electromyogram-triggered grip exercise platform

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dc.contributor.author Dash, Adyasha
dc.contributor.author Lahiri, Uttama
dc.date.accessioned 2020-04-13T10:28:04Z
dc.date.available 2020-04-13T10:28:04Z
dc.date.issued 2020-02
dc.identifier.citation Dash, Adyasha and Lahiri, Uttama, "Design of virtual reality-enabled surface electromyogram-triggered grip exercise platform", IEEE Transactions on Neural Systems and Rehabilitation Engineering, DOI: 10.1109/TNSRE.2019.2959449, vol. 28, no. 2, pp. 444-452, Feb. 2020. en_US
dc.identifier.issn 1534-4320
dc.identifier.issn 1558-0210
dc.identifier.uri https://doi.org/10.1109/TNSRE.2019.2959449
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/5304
dc.description.abstract Adequate grip ability is important for effective execution of daily living activities. Neurological disorders like stroke that result in muscle weakness, limited strength and poor control often lead to reduced grip ability in the affected limb. Conventional rehabilitation for grip training is often monotonous and subjective. Technology-assisted Virtual Reality (VR)-based rehabilitation offers a motivating environment to the participants for rehabilitation. However, the existing systems need specialized set-up architecture, thereby limiting their accessibility. Furthermore, these systems quantify the functional grip ability based on task performance, and do not explore physiological basis of grip ability. In this work, we develop a VR-based rehabilitation platform integrated with physiology-sensitive biofeedback. The developed platform, Gripx makes use of features extracted from sEMG data collected from upper limb muscles to adaptively provide audio-visual biofeedback through a VR environment. We compare task based performance, physiological indices and clinical measures to evaluate the potential of Gripx . The results of our study with 8 healthy and 12 post-stroke participants show the potential of Gripx to contribute to grip rehabilitation over multiple exposures. This approach of integrating VR-based task design with physiology-sensitive biofeedback helps patients to better assess their physiological responses and enhance the efficacy of rehabilitation.
dc.description.statementofresponsibility by Adyasha Dash and Uttama Lahiri
dc.format.extent vol. 28, no. 2, pp. 444-452
dc.language.iso en_US en_US
dc.publisher Institute of Electrical and Electronics Engineers en_US
dc.title Design of virtual reality-enabled surface electromyogram-triggered grip exercise platform en_US
dc.type Article en_US
dc.relation.journal IEEE Transactions on Neural Systems and Rehabilitation Engineering


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