Overview
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Read the articleAUTHORS
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Jacques DEMONGEOT: Faculty of Medicine, Joseph Fourier University (Grenoble, France)
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Carla TARAMASCO: Escuela de Ingeniería Civil en Informática, Universidad de Valparaíso (Chile)
INTRODUCTION
Since 1995, e-health has been concerned with monitoring the elderly at home, using new information and communication technologies (NICTs): intelligent cameras, position sensors, fall detectors, actimetric radars... The data recorded in this way is used to define a quantitative framework which, in the light of significant deviations from normal average behaviour, can be used to identify the onset of a pathology (e.g. degenerative, such as Alzheimer's disease) or the occurrence of an acute episode (respiratory illness, fall, etc.) requiring home intervention. The benefits of such alarms are twofold:
enable people to remain at home for as long as possible, for effective longevity in a familiar living environment;
argue for a return home, if no abnormal deviation can be detected during behavior in a specialized institution (hospital, aftercare home, EHPAD (establishment for dependent elderly people), medicalized or non-medicalized retirement home, etc.).
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