I-BaR: integrated balance rehabilitation framework.

anticipatory postural adjustment balance rehabilitation compensatory postural adjustment multi-modal sensory feedback rehabilitation methodology robotic rehabilitation

Journal

Frontiers in neurorobotics
ISSN: 1662-5218
Titre abrégé: Front Neurorobot
Pays: Switzerland
ID NLM: 101477958

Informations de publication

Date de publication:
2024
Historique:
received: 16 03 2024
accepted: 10 06 2024
medline: 18 7 2024
pubmed: 18 7 2024
entrez: 18 7 2024
Statut: epublish

Résumé

Neurological diseases are observed in approximately 1 billion people worldwide. A further increase is foreseen at the global level as a result of population growth and aging. Individuals with neurological disorders often experience cognitive, motor, sensory, and lower extremity dysfunctions. Thus, the possibility of falling and balance problems arise due to the postural control deficiencies that occur as a result of the deterioration in the integration of multi-sensory information. We propose a novel rehabilitation framework, Integrated Balance Rehabilitation (I-BaR), to improve the effectiveness of the rehabilitation with objective assessment, individualized therapy, convenience with different disability levels and adoption of assist-as-needed paradigm and, with integrated rehabilitation process as whole, that is, ankle-foot preparation, balance, and stepping phases, respectively. Integrated Balance Rehabilitation allows patients to improve their balance ability by providing multi-modal feedback: visual via utilization of virtual reality; vestibular via anteroposterior and mediolateral perturbations with the robotic platform; proprioceptive via haptic feedback.

Identifiants

pubmed: 39021504
doi: 10.3389/fnbot.2024.1401931
pmc: PMC11252086
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1401931

Informations de copyright

Copyright © 2024 Ersoy, Kaya, Hocaoglu and Unal.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Tugce Ersoy (T)

Department of Mechanical Engineering, Human-Centered Design Laboratory, Ozyegin University, Istanbul, Türkiye.

Pınar Kaya (P)

Department of Physiotherapy and Rehabilitation, Istanbul Medipol University, Istanbul, Türkiye.

Elif Hocaoglu (E)

Department of Electrical and Electronics Engineering, Living Robotics Laboratory, Istanbul Medipol University, Istanbul, Türkiye.
SABITA (Research Institute for Health Sciences and Technologies), Istanbul Medipol University, Istanbul, Türkiye.

Ramazan Unal (R)

Department of Mechanical Engineering, Human-Centered Design Laboratory, Ozyegin University, Istanbul, Türkiye.

Classifications MeSH