Enabling active and healthy ageing decision support systems with the smart collection of TV usage patterns

Healthcare Technology Letters

article

Antonis S. Billis¹  Asterios Batziakas¹  Charalampos Bratsas²  Marianna S. Tsatali¹  Maria Karagianni¹  Panagiotis D. Bamidis¹ 

[1]Laboratory of Medical Physics, Medical School, Aristotle University of Thessaloniki

[2]School of Mathematics, Aristotle University of Thessaloniki

[3]Open Knowledge Foundation Greece

关键词: geriatrics;    home computing;    ubiquitous computing;    patient monitoring;    decision support systems;    medical expert systems;    TV usage patterns;    behavioural patterns;    daily living activities;    smart decision support systems;    health smart homes;    smart monitoring sensors;    inexpensive monitoring sensors;    unobtrusive monitoring sensors;    software tools;    smart monitoring system;    remote monitoring system;    mental health change;   

DOI  :  10.1049/htl.2015.0056

学科分类：肠胃与肝脏病学

来源: Wiley

【 摘 要 】

Smart monitoring of seniors behavioural patterns and more specifically activities of daily living have attracted immense research interest in recent years. Development of smart decision support systems to support the promotion of health smart homes has also emerged taking advantage of the plethora of smart, inexpensive and unobtrusive monitoring sensors, devices and software tools. To this end, a smart monitoring system has been used in order to extract meaningful information about television (TV) usage patterns and subsequently associate them with clinical findings of experts. The smart TV operating state remote monitoring system was installed in four elderly women homes and gathered data for more than 11 months. Results suggest that TV daily usage (time the TV is turned on) can predict mental health change. Conclusively, the authors suggest that collection of smart device usage patterns could strengthen the inference capabilities of existing health DSSs applied in uncontrolled settings such as real senior homes.

【 授权许可】

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