A clinically assisted collaborative system architecture for preventing falls in elderly people

Falls in older adults are not only frequent but also potentially disabling for them. Detecting and preventing these falls have an important impact in the life of the elderly people. This paper presents the architecture of a pervasive system designed to perform early detection of older adults in risk of falling or fell down. The system notifies the appropriate people or healthcare organizations in case of detecting a fall of the monitored person. This monitoring process produces minimum disruption in the life style of the elderly.

Palabras clave: Falls Prevention And Detection , Pervasive Healthcare

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Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)

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URI: http://hdl.handle.net/11336/11747

URL: http://link.springer.com/chapter/10.1007/978-3-319-13105-4_17

DOI: http://dx.doi.org/10.1007/978-3-319-13105-4_17

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Articulos de INST.DE INVEST.EN ING.ELECTRICA "A.DESAGES"

Citación

Orozco, Javier Dario; Santos, Rodrigo Martin; Ochoa, Sergio F. ; Ordinez, Leonardo Damian; Meseguer, Roc ; et al.; A clinically assisted collaborative system architecture for preventing falls in elderly people; Springer; Lecture Notes In Computer Science; 8868; 10-2014; 111-114

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