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Authors: Joana Silva ; Nuno Cardoso ; Jorge Ribeiro ; Alberto Carvalho ; Mariana Pereira ; Fernando Ricaldoni ; Carlos Resende and João Oliveira

Affiliation: Fraunhofer Portugal Research Center for Assistive Information and Communication Solutions, Rua Alfredo Allen 455/461, 4200-135 Porto, Portugal

Keyword(s): Fall Detection, Fall Risk Assessment, Fall Prevention, Otago Program, Inertial Sensors, Wearable Device.

Abstract: The ageing of the global population has an impact on the elderly quality of life, as the reduced mobility and balance contribute to the increasing of falls. Fall detection solutions can trigger emergency alerts and reduce the negative effect of falls. Fall risk assessment strategies can help to early identify fall risk factors and tailor strategies to revert those risk factors, by means of fall prevention exercises. However, most technological solutions do not simultaneously address these three aspects of the falls management cycle. FRADE platform will allow to pervasively detect falls using a wearable device, that can also be used to monitor fall risk assessment tests and recommended individual exercises, that can be performed at home with a tablet and two wearables.

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Paper citation in several formats:
Silva, J.; Cardoso, N.; Ribeiro, J.; Carvalho, A.; Pereira, M.; Ricaldoni, F.; Resende, C. and Oliveira, J. (2021). FRADE: Pervasive Platform for Fall Risk Assessment, Prevention and Fall Detection. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIOSIGNALS; ISBN 978-989-758-490-9; ISSN 2184-4305, SciTePress, pages 320-326. DOI: 10.5220/0010328100002865

@conference{biosignals21,
author={Joana Silva. and Nuno Cardoso. and Jorge Ribeiro. and Alberto Carvalho. and Mariana Pereira. and Fernando Ricaldoni. and Carlos Resende. and João Oliveira.},
title={FRADE: Pervasive Platform for Fall Risk Assessment, Prevention and Fall Detection},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIOSIGNALS},
year={2021},
pages={320-326},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010328100002865},
isbn={978-989-758-490-9},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIOSIGNALS
TI - FRADE: Pervasive Platform for Fall Risk Assessment, Prevention and Fall Detection
SN - 978-989-758-490-9
IS - 2184-4305
AU - Silva, J.
AU - Cardoso, N.
AU - Ribeiro, J.
AU - Carvalho, A.
AU - Pereira, M.
AU - Ricaldoni, F.
AU - Resende, C.
AU - Oliveira, J.
PY - 2021
SP - 320
EP - 326
DO - 10.5220/0010328100002865
PB - SciTePress