Smart Homes and Sensors for Surveillance and Preventive Education at Home: Example of Obesity

Abstract

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.

Improvement in Quality of Life with Use of Ambient-Assisted Living: Clinical Trial with Older Persons in the Chilean Population

“…The developed product, Quida, is the result of a process of continuous improvement through various research studies [ 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 ]. In particular, [ 29 ] used very low-resolution thermal sensors to classify falls and then alert care personnel.…”

“…However, unintentional falls in older adults are a high-risk area, and their incidence imposes a significant economic burden on the health system [ 27 ]. Therefore, portable inertial sensors have grown in popularity as a means to objectively assess the risk of falls [ 28 ], generating studies aimed at its validation as non-intrusive systems for controlled environments to detect falls and other events and that do not compromise the privacy of users [ 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 ], being also relevant to obtain evidence of the impact on the quality of life of this age group.…”

Tele-Treatment Application Design for Disable Patients with Wireless Sensors

“…Smartphone apps have been played an important role in telehealth care too [9]. Several cases of use are shown such as information and time management, health records maintenance, communication and consulting patient monitoring, among others [10][11][12]. However, the approach shown by Dyer et al [9] is very simple in terms of patient monitoring.…”