Stroke is one of the major causes of disability worldwide, and most stroke survivors require rehabilitation to recover motor and cognitive functions. Virtual Reality (VR) has emerged as a promising means to administer rehabilitative interventions due to its potential to provide high engagement and motivation, with positive effects on treatment compliance. In this context, we present the Virtual Supermarket (VSS), i.e., an immersive ecological VR application to retrain upper limb movements and cognitive functions in patients with stroke. The exercise foresees identifying, reaching, and grabbing grocery items on supermarket shelves and paying for them. Currently, we are conducting a study assessing the user experience of patients with sub-acute and chronic stroke undergoing rehabilitation with the VSS over a period of 4 weeks, 3 times a week. Up to now, 9 patients have experienced the supermarket and have answered questionnaires about perceived ease of use, involvement, and cyber-sickness after the first rehabilitation session. The VSS was evaluated satisfactorily, and no side effects emerged. Although preliminary, these outcomes are encouraging, and we expect the positive results to be maintained at the end of the rehabilitation period too. Further studies will be needed to investigate better clinical improvements that the VSS may lead to.

Arlati, S., Mondellini, M., Guanziroli, E., Rossini, M., Martinelli, I., Molteni, F., Virtual Reality-Based Rehabilitation for Patients with Stroke: Preliminary Results on User Experience, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), (Lecce, 06-09 September 2023), Springer Science and Business Media Deutschland GmbH, Cham, Svizzera 2023:<<LECTURE NOTES IN COMPUTER SCIENCE>>,14219 441-453. [10.1007/978-3-031-43404-4_30] [https://hdl.handle.net/10807/261895]

Virtual Reality-Based Rehabilitation for Patients with Stroke: Preliminary Results on User Experience

Mondellini, Marta
Secondo
;
2023

Abstract

Stroke is one of the major causes of disability worldwide, and most stroke survivors require rehabilitation to recover motor and cognitive functions. Virtual Reality (VR) has emerged as a promising means to administer rehabilitative interventions due to its potential to provide high engagement and motivation, with positive effects on treatment compliance. In this context, we present the Virtual Supermarket (VSS), i.e., an immersive ecological VR application to retrain upper limb movements and cognitive functions in patients with stroke. The exercise foresees identifying, reaching, and grabbing grocery items on supermarket shelves and paying for them. Currently, we are conducting a study assessing the user experience of patients with sub-acute and chronic stroke undergoing rehabilitation with the VSS over a period of 4 weeks, 3 times a week. Up to now, 9 patients have experienced the supermarket and have answered questionnaires about perceived ease of use, involvement, and cyber-sickness after the first rehabilitation session. The VSS was evaluated satisfactorily, and no side effects emerged. Although preliminary, these outcomes are encouraging, and we expect the positive results to be maintained at the end of the rehabilitation period too. Further studies will be needed to investigate better clinical improvements that the VSS may lead to.
2023
Inglese
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Proceedings of the International Conference on extended Reality, XR SALENTO 2023
Lecce
6-set-2023
9-set-2023
978-3-031-43403-7
Springer Science and Business Media Deutschland GmbH
Arlati, S., Mondellini, M., Guanziroli, E., Rossini, M., Martinelli, I., Molteni, F., Virtual Reality-Based Rehabilitation for Patients with Stroke: Preliminary Results on User Experience, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), (Lecce, 06-09 September 2023), Springer Science and Business Media Deutschland GmbH, Cham, Svizzera 2023:<<LECTURE NOTES IN COMPUTER SCIENCE>>,14219 441-453. [10.1007/978-3-031-43404-4_30] [https://hdl.handle.net/10807/261895]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/261895
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