Combined methods of rehabilitation of patients after stroke: virtual reality and traditional approach.


Journal

Neuro endocrinology letters
ISSN: 2354-4716
Titre abrégé: Neuro Endocrinol Lett
Pays: Sweden
ID NLM: 8008373

Informations de publication

Date de publication:
Sep 2020
Historique:
received: 02 05 2020
accepted: 22 06 2020
pubmed: 18 11 2020
medline: 18 9 2021
entrez: 17 11 2020
Statut: ppublish

Résumé

The aim of the research was to verify the possibilities of using virtual reality in combination with classical approaches to the rehabilitation of patients after stroke. As part of rehabilitation, we examined the possibilities of rehabilitation of the upper, lower limbs and fine mobility of the upper limbs in a selected group of patients that met the criteria for inclusion in a combined rehabilitation program using virtual reality with a focus on testing different approaches, devices and applications. At the same time, we tried to identify quantitative and qualitative parameters that could be objectively measured and based on them to evaluate the progress of patients in rehabilitation or in personalizing individual rehabilitation scenarios. In patients who underwent a combined method of rehabilitation, we observed progress in the development of their ability to improve motor skills. We identified various categories of parameters that can be evaluated by artificial intelligence methods, and we also identified that the key elements in the use of virtual reality as a rehabilitation method are the so-called "WOW" effect and the creation of an emotional change in the patient that motivates him to rehabilitate. We have shown that virtual reality methods have the potential to accelerate rehabilitation and increase the motivation of selected groups of patients after stroke.

Identifiants

pubmed: 33201645
pii: NEL410320A02

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

123-133

Auteurs

Miron Sramka (M)

Department of stereotactic radiosurgery, OUSA and St. Elizabeth University of Health Care and Social Work in Bratislava, Slovakia.

Jan Lacko (J)

Faculty of Informatics, Pan-European University in Bratislava, Slovakia.

Eugen Ruzicky (E)

Faculty of Informatics, Pan-European University in Bratislava, Slovakia.

Jan Masan (J)

Faculty of Health Sciences, University of Ss. Cyril and Methodius in Trnava, Slovakia.

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Classifications MeSH