The Principles of advanced virtual reality-based neurorehabilitation how the training in virtual reality and based on principles can support the recovery and diagnosis of disabilities after stroke

The increase in stroke survivors poses a global challenge for the current health care system. The way that standard therapy is provided today impacts long-term disability and dependency in ADL insufficiently. The associated need for long-term care and the increase in health-care costs hence demand f...

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Detalles Bibliográficos
Autor: Maier, Martina
Tipo de recurso: tesis doctoral
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:CBUC, CESCA
Repositorio:TDR. Tesis Doctorales en Red
OAI Identifier:oai:www.tdx.cat:10803/669676
Acceso en línea:http://hdl.handle.net/10803/669676
Access Level:acceso abierto
Palabra clave:Neurorehabilitation
Virtual reality
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spelling The Principles of advanced virtual reality-based neurorehabilitation how the training in virtual reality and based on principles can support the recovery and diagnosis of disabilities after strokeMaier, MartinaNeurorehabilitationVirtual reality62The increase in stroke survivors poses a global challenge for the current health care system. The way that standard therapy is provided today impacts long-term disability and dependency in ADL insufficiently. The associated need for long-term care and the increase in health-care costs hence demand for novel therapeutic approaches. For this reason, we need to obtain gain a better understanding of the manifold consequences and the recovery process after stroke. In this dissertation we will advance the idea that besides increasing the intensity other factors need to be considered. Rehabilitation must incorporate learning strategies that induce recovery by changing the impaired behaviour. The principles of learning can be obtained from animal and human learning neuroscientific literature. As symptoms are neurologically and behaviourally interrelated, they can be addressed by common learning methods. We argue that technology is an aptly medium to implement and test these methods. Technology-based rehabilitation systems are not only cost-efficient, scalable and accessible, but also allow us to induce virtual manipulations which enhances learning in a way that is not possible in reality. The main goal of this dissertation is to design, test and deliver advanced neuroscience-based therapies in virtual reality that exploit principles of learning. We first offer a synthesis of known principles of learning obtained from human and animal behaviour and show that VR-based systems that incorporate these principles can have a significant impact on recovery. We then explore in three studies how augmented sensorimotor performance, individualized challenges and goal-oriented embodied training in a VR-based rehabilitation system can modify behaviour to address physical, cognitive and social post-stroke consequences. Lastly, we offer two possibilities how the information gained through the VR-based training can help to understand deficits better and therefore complement diagnostics. The contribution of the scientific work presented in this dissertation is that a systematic principle-based approach that augments learning with the advantages of technology can address a variety of post-stroke deficits and advance the understanding of recovery.Programa de doctorat en Tecnologies de la Informació i les ComunicacionsUniversitat Pompeu FabraVerschure, Paul F. M. J.Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions202020212020info:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/publishedVersion213 p.application/pdfapplication/pdfhttp://hdl.handle.net/10803/669676TDX (Tesis Doctorals en Xarxa)reponame:TDR. Tesis Doctorales en Redinstname:CBUC, CESCAInglésL'accés als continguts d'aquesta tesi queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by-nc-nd/4.0/http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:www.tdx.cat:10803/6696762026-06-14T12:46:07Z
dc.title.none.fl_str_mv The Principles of advanced virtual reality-based neurorehabilitation how the training in virtual reality and based on principles can support the recovery and diagnosis of disabilities after stroke
title The Principles of advanced virtual reality-based neurorehabilitation how the training in virtual reality and based on principles can support the recovery and diagnosis of disabilities after stroke
spellingShingle The Principles of advanced virtual reality-based neurorehabilitation how the training in virtual reality and based on principles can support the recovery and diagnosis of disabilities after stroke
Maier, Martina
Neurorehabilitation
Virtual reality
62
title_short The Principles of advanced virtual reality-based neurorehabilitation how the training in virtual reality and based on principles can support the recovery and diagnosis of disabilities after stroke
title_full The Principles of advanced virtual reality-based neurorehabilitation how the training in virtual reality and based on principles can support the recovery and diagnosis of disabilities after stroke
title_fullStr The Principles of advanced virtual reality-based neurorehabilitation how the training in virtual reality and based on principles can support the recovery and diagnosis of disabilities after stroke
title_full_unstemmed The Principles of advanced virtual reality-based neurorehabilitation how the training in virtual reality and based on principles can support the recovery and diagnosis of disabilities after stroke
title_sort The Principles of advanced virtual reality-based neurorehabilitation how the training in virtual reality and based on principles can support the recovery and diagnosis of disabilities after stroke
dc.creator.none.fl_str_mv Maier, Martina
author Maier, Martina
author_facet Maier, Martina
author_role author
dc.contributor.none.fl_str_mv Verschure, Paul F. M. J.
Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions
dc.subject.none.fl_str_mv Neurorehabilitation
Virtual reality
62
topic Neurorehabilitation
Virtual reality
62
description The increase in stroke survivors poses a global challenge for the current health care system. The way that standard therapy is provided today impacts long-term disability and dependency in ADL insufficiently. The associated need for long-term care and the increase in health-care costs hence demand for novel therapeutic approaches. For this reason, we need to obtain gain a better understanding of the manifold consequences and the recovery process after stroke. In this dissertation we will advance the idea that besides increasing the intensity other factors need to be considered. Rehabilitation must incorporate learning strategies that induce recovery by changing the impaired behaviour. The principles of learning can be obtained from animal and human learning neuroscientific literature. As symptoms are neurologically and behaviourally interrelated, they can be addressed by common learning methods. We argue that technology is an aptly medium to implement and test these methods. Technology-based rehabilitation systems are not only cost-efficient, scalable and accessible, but also allow us to induce virtual manipulations which enhances learning in a way that is not possible in reality. The main goal of this dissertation is to design, test and deliver advanced neuroscience-based therapies in virtual reality that exploit principles of learning. We first offer a synthesis of known principles of learning obtained from human and animal behaviour and show that VR-based systems that incorporate these principles can have a significant impact on recovery. We then explore in three studies how augmented sensorimotor performance, individualized challenges and goal-oriented embodied training in a VR-based rehabilitation system can modify behaviour to address physical, cognitive and social post-stroke consequences. Lastly, we offer two possibilities how the information gained through the VR-based training can help to understand deficits better and therefore complement diagnostics. The contribution of the scientific work presented in this dissertation is that a systematic principle-based approach that augments learning with the advantages of technology can address a variety of post-stroke deficits and advance the understanding of recovery.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020
2021
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url http://hdl.handle.net/10803/669676
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
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info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 213 p.
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universitat Pompeu Fabra
publisher.none.fl_str_mv Universitat Pompeu Fabra
dc.source.none.fl_str_mv TDX (Tesis Doctorals en Xarxa)
reponame:TDR. Tesis Doctorales en Red
instname:CBUC, CESCA
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