Abstract
(1) Background: The aim of this paper is to show that e-health tools like smart homes allow the personalization of the surveillance and preventive education of chronic patients, such as obese persons, in order to maintain a comfortable and preventive lifestyle at home. (2) Technologies and methods: Several types of sensors allow coaching the patient at home, e.g., the sensors recording the activity and monitoring the physiology of the person. All of this information serves to personalize serious games dedicated to preventive education, for example in nutrition and vision. (3) Results: We built a system of personalized preventive education at home based on serious games, derived from the feedback information they provide through a monitoring system. Therefore, it is possible to define (after clustering and personalized calibration) from the at home surveillance of chronic patients different comfort zones where their behavior can be estimated as normal or abnormal and, then, to adapt both alarm levels for surveillance and education programs for prevention, the chosen example of application being obesity.
Highlights
E-health is concerned with the surveillance and education of chronic patients at home, usingNew Information and Communication Technologies (ICT) in a smart environment
Different kinds of functionalities are available on this TV/Remote Control with a Smart Keyboard (RCSK) system: Contact book: contacts are sorted in two lists, personal and professional, Mailbox: this allows communicating with healthcare professionals of the RVS network by reading and writing some simple and pre-filled messages, Medical diary: professionals fill this in, Metrology: the patient or caregiver enters measurements, like pulse, blood pressure, glycemia, weight, etc
The perspectives of the work outlined in this article consider two complementary aspects of the actimetric supervision of a patient at home [145,146,147]: (1) The ability to noninvasively record different physiological parameters that, in the future, should allow automatic documenting after suitable filtering of the personalization of the medical record of a patient, whose prototype has just been elaborated in France after about 10 years without much progress, which would greatly facilitate its updating, so as to enhance its suitability and allow a more efficient long-term monitoring at home in the case of chronic diseases
Summary
E-health is concerned with the surveillance and education of chronic patients at home, usingNew Information and Communication Technologies (ICT) in a smart environment. The data recorded are intended to define a quantitative framework, whose significant deviations from normal mean behavior identify the entry in a chronic pathology (e.g., metabolic, such as obesity and its main complication, type II diabetes, or degenerative, such as Alzheimer’s disease) or the occurrence of an acute episode (like a fall), requiring more and more home interventions due to the population ageing [1,2] The interest in such a surveillance and education system is two-fold: enabling the longest possible home stay for an effective life in a familiar living environment and avoiding a specialized institution (aftercare, retirement or nursing homes, hospitals, etc.), giving an argument to return home if the specialized institution has not detected any abnormal deviation.
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