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Recommendations for combining brain-computer interface, motor imagery and virtual reality in upper limb stroke rehabilitation: a qualitative person-centered study

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Resumo:Background: The high incidence and prevalence of upper limb impairment poststroke highlights the need for the development of rehabilitation in this field. BrainComputer Interfaces (BCIs) can directly train the central nervous system providing promising technology in this area and the use of associated motor imagery (MI) and virtual reality (VR) can provide valuable rehabilitative opportunities. However, the diversity in interventions designs demonstrates the lack of guiding recommendations integrating neurorehabilitation principles for BCI. Objective: This study aims to develop recommendations for BCI interventions using task specificity and ecological validity through simulated VR tasks for upper limb stroke survivors, by gathering tacit knowledge from neurorehabilitation experts, patients’ experiences, and engineers’ expertise to ensure a comprehensive approach. Methods: a multi-perspective qualitative study was conducted through collaborative design workshops involving stroke survivors (N=17), rehabilitation experts (N=13) and biomedical engineers (N=3), totaling 33 participants. This innovative approach aimed to actively engage stakeholders in developing multifaceted solutions for complex health interventions. Results: Six themes emerged from the thematic analysis: i) Importance of patient centred approach; ii) Clinical evaluation and patient selection; iii) Recommendations for task design; iv) Guidelines for structuring BCI intervention; v) Key factors influencing motivation; and vi) Technology features. From these themes, the following recommendations (R) are established: R1 - BCI-MI-VR interventions must be conducted through a Patient Centered Approach, based on individualized preferences, needs and goals of the user, by an interdisciplinary team; R2 - Selection criteria must include upper limb impairment, cognitive and communication assessment and clinical traits like motor imagery capacity, neglect and depression must be assessed once it might influence intervention outcomes; R3 - Tasks to perform should preferably be based on daily living activities including unilateral and bilateral tasks and a variety of tasks must be available for selection to ensure significance for the user and adequation to clinical traits; R4 - Intervention must be structured by different progressing levels starting with simple, gross movements and adding complexity through movement features, cognitive demand and motor imagery difficulty; R5 - Optimal levels of motivation must be sustained through task variability, gamification elements and task demand adequacy; R6 - Multisensorial potential of BCI-MI-VR must be effectively harnessed through the adequate adjustment of visual, haptic and proprioceptive feedback modalities to the patient. Conclusions: These results contribute to establishing clear guidelines on patient selection, task design, intervention structuring, motivation factors and tailoring of sensory feedback. This framework presents a foundation for optimal implementation of BCI-MI-VR based interventions, optimizing cortical activity during the intervention, patients’ engagement and clinical outcomes. Future research should explore the application of these guidelines for validation and investigate BCI’s efficacy according to different combinations of patients’ profiles, task characteristics and technology features.
Autores principais:Oliveira, Inês Catarina Rodrigues
Assunto:Neurological Rehabilitation Cerebrovascular Disorders Upper Extremity Brain-computer interfaces Health Planning Guidelines Qualitative Research User-Centered Design
Ano:2024
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso embargado
Instituição associada:Instituto Politécnico de Setúbal
Idioma:inglês
Origem:Instituto Politécnico de Setúbal
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author Oliveira, Inês Catarina Rodrigues
author_facet Oliveira, Inês Catarina Rodrigues
Oliveira, Inês Catarina Rodrigues
author_role author
contributor_name_str_mv Pereira, Carla Mendes
Almeida, Ana Isabel
Vourvopoulos, Athanasios
Repositório Comum
country_str PT
creators_json_str [{\"Person.name\":\"Oliveira, Inês Catarina Rodrigues\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Pereira, Carla Mendes
Almeida, Ana Isabel
Vourvopoulos, Athanasios
Repositório Comum
datacite.creators.creator.creatorName.fl_str_mv Oliveira, Inês Catarina Rodrigues
datacite.date.Accepted.fl_str_mv 2024-12-01T00:00:00Z
datacite.date.available.fl_str_mv 2026-01-01T00:00:00Z
datacite.date.embargoed.fl_str_mv 2026-01-01T00:00:00Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_f1cf
datacite.subjects.subject.fl_str_mv Neurological Rehabilitation
Cerebrovascular Disorders
Upper Extremity
Brain-computer interfaces
Health Planning Guidelines
Qualitative Research
User-Centered Design
datacite.titles.title.fl_str_mv Recommendations for combining brain-computer interface, motor imagery and virtual reality in upper limb stroke rehabilitation: a qualitative person-centered study
dc.contributor.none.fl_str_mv Pereira, Carla Mendes
Almeida, Ana Isabel
Vourvopoulos, Athanasios
Repositório Comum
dc.creator.none.fl_str_mv Oliveira, Inês Catarina Rodrigues
dc.date.Accepted.fl_str_mv 2024-12-01T00:00:00Z
dc.date.available.fl_str_mv 2026-01-01T00:00:00Z
dc.date.embargoed.fl_str_mv 2026-01-01T00:00:00Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10400.26/54335
dc.language.none.fl_str_mv eng
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_f1cf
dc.subject.none.fl_str_mv Neurological Rehabilitation
Cerebrovascular Disorders
Upper Extremity
Brain-computer interfaces
Health Planning Guidelines
Qualitative Research
User-Centered Design
dc.title.fl_str_mv Recommendations for combining brain-computer interface, motor imagery and virtual reality in upper limb stroke rehabilitation: a qualitative person-centered study
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_bdcc
description Background: The high incidence and prevalence of upper limb impairment poststroke highlights the need for the development of rehabilitation in this field. BrainComputer Interfaces (BCIs) can directly train the central nervous system providing promising technology in this area and the use of associated motor imagery (MI) and virtual reality (VR) can provide valuable rehabilitative opportunities. However, the diversity in interventions designs demonstrates the lack of guiding recommendations integrating neurorehabilitation principles for BCI. Objective: This study aims to develop recommendations for BCI interventions using task specificity and ecological validity through simulated VR tasks for upper limb stroke survivors, by gathering tacit knowledge from neurorehabilitation experts, patients’ experiences, and engineers’ expertise to ensure a comprehensive approach. Methods: a multi-perspective qualitative study was conducted through collaborative design workshops involving stroke survivors (N=17), rehabilitation experts (N=13) and biomedical engineers (N=3), totaling 33 participants. This innovative approach aimed to actively engage stakeholders in developing multifaceted solutions for complex health interventions. Results: Six themes emerged from the thematic analysis: i) Importance of patient centred approach; ii) Clinical evaluation and patient selection; iii) Recommendations for task design; iv) Guidelines for structuring BCI intervention; v) Key factors influencing motivation; and vi) Technology features. From these themes, the following recommendations (R) are established: R1 - BCI-MI-VR interventions must be conducted through a Patient Centered Approach, based on individualized preferences, needs and goals of the user, by an interdisciplinary team; R2 - Selection criteria must include upper limb impairment, cognitive and communication assessment and clinical traits like motor imagery capacity, neglect and depression must be assessed once it might influence intervention outcomes; R3 - Tasks to perform should preferably be based on daily living activities including unilateral and bilateral tasks and a variety of tasks must be available for selection to ensure significance for the user and adequation to clinical traits; R4 - Intervention must be structured by different progressing levels starting with simple, gross movements and adding complexity through movement features, cognitive demand and motor imagery difficulty; R5 - Optimal levels of motivation must be sustained through task variability, gamification elements and task demand adequacy; R6 - Multisensorial potential of BCI-MI-VR must be effectively harnessed through the adequate adjustment of visual, haptic and proprioceptive feedback modalities to the patient. Conclusions: These results contribute to establishing clear guidelines on patient selection, task design, intervention structuring, motivation factors and tailoring of sensory feedback. This framework presents a foundation for optimal implementation of BCI-MI-VR based interventions, optimizing cortical activity during the intervention, patients’ engagement and clinical outcomes. Future research should explore the application of these guidelines for validation and investigate BCI’s efficacy according to different combinations of patients’ profiles, task characteristics and technology features.
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person_str_mv Oliveira, Inês Catarina Rodrigues
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spelling engpt_PTBackground: The high incidence and prevalence of upper limb impairment poststroke highlights the need for the development of rehabilitation in this field. BrainComputer Interfaces (BCIs) can directly train the central nervous system providing promising technology in this area and the use of associated motor imagery (MI) and virtual reality (VR) can provide valuable rehabilitative opportunities. However, the diversity in interventions designs demonstrates the lack of guiding recommendations integrating neurorehabilitation principles for BCI. Objective: This study aims to develop recommendations for BCI interventions using task specificity and ecological validity through simulated VR tasks for upper limb stroke survivors, by gathering tacit knowledge from neurorehabilitation experts, patients’ experiences, and engineers’ expertise to ensure a comprehensive approach. Methods: a multi-perspective qualitative study was conducted through collaborative design workshops involving stroke survivors (N=17), rehabilitation experts (N=13) and biomedical engineers (N=3), totaling 33 participants. This innovative approach aimed to actively engage stakeholders in developing multifaceted solutions for complex health interventions. Results: Six themes emerged from the thematic analysis: i) Importance of patient centred approach; ii) Clinical evaluation and patient selection; iii) Recommendations for task design; iv) Guidelines for structuring BCI intervention; v) Key factors influencing motivation; and vi) Technology features. From these themes, the following recommendations (R) are established: R1 - BCI-MI-VR interventions must be conducted through a Patient Centered Approach, based on individualized preferences, needs and goals of the user, by an interdisciplinary team; R2 - Selection criteria must include upper limb impairment, cognitive and communication assessment and clinical traits like motor imagery capacity, neglect and depression must be assessed once it might influence intervention outcomes; R3 - Tasks to perform should preferably be based on daily living activities including unilateral and bilateral tasks and a variety of tasks must be available for selection to ensure significance for the user and adequation to clinical traits; R4 - Intervention must be structured by different progressing levels starting with simple, gross movements and adding complexity through movement features, cognitive demand and motor imagery difficulty; R5 - Optimal levels of motivation must be sustained through task variability, gamification elements and task demand adequacy; R6 - Multisensorial potential of BCI-MI-VR must be effectively harnessed through the adequate adjustment of visual, haptic and proprioceptive feedback modalities to the patient. Conclusions: These results contribute to establishing clear guidelines on patient selection, task design, intervention structuring, motivation factors and tailoring of sensory feedback. This framework presents a foundation for optimal implementation of BCI-MI-VR based interventions, optimizing cortical activity during the intervention, patients’ engagement and clinical outcomes. Future research should explore the application of these guidelines for validation and investigate BCI’s efficacy according to different combinations of patients’ profiles, task characteristics and technology features.application/pdfpt_PTRecommendations for combining brain-computer interface, motor imagery and virtual reality in upper limb stroke rehabilitation: a qualitative person-centered studyOliveira, Inês Catarina RodriguesPereira, Carla MendesAlmeida, Ana IsabelVourvopoulos, AthanasiosHostingInstitutionOrganizationalRepositório Comume-mailmailto:comum@rcaap.ptcomum@rcaap.ptURNurn:tid:2037999922024-122024-12-01T00:00:00Z2026-01-01T00:00:00ZHandlehttp://hdl.handle.net/10400.26/54335http://purl.org/coar/access_right/c_f1cfembargoed accessNeurological RehabilitationCerebrovascular DisordersUpper ExtremityBrain-computer interfacesHealth Planning GuidelinesQualitative ResearchUser-Centered Design1615147 bytesliteraturehttp://purl.org/coar/resource_type/c_bdccmaster thesishttp://purl.org/coar/access_right/c_f1cfapplication/pdffulltexthttps://comum.rcaap.pt/bitstreams/ce1217a0-b7b1-466a-bb3c-288c6f6aa985/download
spellingShingle Recommendations for combining brain-computer interface, motor imagery and virtual reality in upper limb stroke rehabilitation: a qualitative person-centered study
Recommendations for combining brain-computer interface, motor imagery and virtual reality in upper limb stroke rehabilitation: a qualitative person-centered study
Oliveira, Inês Catarina Rodrigues
Neurological Rehabilitation
Cerebrovascular Disorders
Upper Extremity
Brain-computer interfaces
Health Planning Guidelines
Qualitative Research
User-Centered Design
Oliveira, Inês Catarina Rodrigues
Neurological Rehabilitation
Cerebrovascular Disorders
Upper Extremity
Brain-computer interfaces
Health Planning Guidelines
Qualitative Research
User-Centered Design
status NEW
subject.fl_str_mv Neurological Rehabilitation
Cerebrovascular Disorders
Upper Extremity
Brain-computer interfaces
Health Planning Guidelines
Qualitative Research
User-Centered Design
title Recommendations for combining brain-computer interface, motor imagery and virtual reality in upper limb stroke rehabilitation: a qualitative person-centered study
title_full Recommendations for combining brain-computer interface, motor imagery and virtual reality in upper limb stroke rehabilitation: a qualitative person-centered study
title_fullStr Recommendations for combining brain-computer interface, motor imagery and virtual reality in upper limb stroke rehabilitation: a qualitative person-centered study
Recommendations for combining brain-computer interface, motor imagery and virtual reality in upper limb stroke rehabilitation: a qualitative person-centered study
title_full_unstemmed Recommendations for combining brain-computer interface, motor imagery and virtual reality in upper limb stroke rehabilitation: a qualitative person-centered study
Recommendations for combining brain-computer interface, motor imagery and virtual reality in upper limb stroke rehabilitation: a qualitative person-centered study
title_short Recommendations for combining brain-computer interface, motor imagery and virtual reality in upper limb stroke rehabilitation: a qualitative person-centered study
title_sort Recommendations for combining brain-computer interface, motor imagery and virtual reality in upper limb stroke rehabilitation: a qualitative person-centered study
topic Neurological Rehabilitation
Cerebrovascular Disorders
Upper Extremity
Brain-computer interfaces
Health Planning Guidelines
Qualitative Research
User-Centered Design
topic_facet Neurological Rehabilitation
Cerebrovascular Disorders
Upper Extremity
Brain-computer interfaces
Health Planning Guidelines
Qualitative Research
User-Centered Design
url http://hdl.handle.net/10400.26/54335
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