BrainIn: A Data-driven Software System for Neurorehabilitation of People with Acquired Brain Injuries

Roman Mouček, Lukáš Vařeka, Petr Brůha, Pavel Šnejdar, Michal Horký, Ivana Herejková

2022

Abstract

The current model of neurorehabilitation provides comprehensive care (neurologist, physiotherapist, occupational therapist, psychologist, speech therapist) in the acute phase of acquired brain injuries during hospitalization in some countries. However, follow-up care is insufficient or completely absent, especially for disadvantaged people. Increasing the availability, effectiveness and efficiency of neurorehabilitation care is beneficial both socially and economically. The BrainIn project aims to improve the quality, effectiveness, and efficiency of neurorehabilitation procedures in both the acute phase and long-term home rehabilitation phase. Moreover, its goal is to facilitate and accelerate the return of the affected people to their families, social, and working life. The BrainIn project is freely available as a web application (https://brainin.kiv.zcu.cz/). It is adapted to the needs of therapists and patients who have experienced acquired brain injuries.

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Paper Citation


in Harvard Style

Mouček R., Vařeka L., Brůha P., Šnejdar P., Horký M. and Herejková I. (2022). BrainIn: A Data-driven Software System for Neurorehabilitation of People with Acquired Brain Injuries. In Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE, ISBN 978-989-758-566-1, pages 126-133. DOI: 10.5220/0011086100003188


in Bibtex Style

@conference{ict4awe22,
author={Roman Mouček and Lukáš Vařeka and Petr Brůha and Pavel Šnejdar and Michal Horký and Ivana Herejková},
title={BrainIn: A Data-driven Software System for Neurorehabilitation of People with Acquired Brain Injuries},
booktitle={Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE,},
year={2022},
pages={126-133},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011086100003188},
isbn={978-989-758-566-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE,
TI - BrainIn: A Data-driven Software System for Neurorehabilitation of People with Acquired Brain Injuries
SN - 978-989-758-566-1
AU - Mouček R.
AU - Vařeka L.
AU - Brůha P.
AU - Šnejdar P.
AU - Horký M.
AU - Herejková I.
PY - 2022
SP - 126
EP - 133
DO - 10.5220/0011086100003188