BISITE Digital Innovation Hub., University of Salamanca, Edificio Multiusos I+D+i, C/Espejo SN, 37007 Salamanca, Spain.
Artificial Intelligence Department, Polytechnic University of Madrid, Campus Montegancedo s/n, Boadilla del Monte, 28660 Madrid, Spain.
Sensors (Basel). 2018 Mar 2;18(3):757. doi: 10.3390/s18030757.
Context-aware monitoring systems designed for e-Health solutions and ambient assisted living (AAL) play an important role in today's personalized health-care services. The majority of these systems are intended for the monitoring of patients' vital signs by means of bio-sensors. At present, there are very few systems that monitor environmental conditions and air quality in the homes of users. A home's environmental conditions can have a significant influence on the state of the health of its residents. Monitoring the environment is the key to preventing possible diseases caused by conditions that do not favor health. This paper presents a context-aware system that monitors air quality to prevent a specific health problem at home. The aim of this system is to reduce the incidence of the Sudden Infant Death Syndrome, which is triggered mainly by environmental factors. In the conducted case study, the system monitored the state of the neonate and the quality of air while it was asleep. The designed proposal is characterized by its low cost and non-intrusive nature. The results are promising.
面向电子健康解决方案和智能环境辅助生活 (AAL) 的上下文感知监测系统在当今个性化医疗服务中发挥着重要作用。这些系统中的大多数旨在通过生物传感器监测患者的生命体征。目前，很少有系统监测用户家中的环境条件和空气质量。家庭的环境条件对居民的健康状况有重大影响。监测环境是预防因不利于健康的条件而导致的潜在疾病的关键。本文提出了一种上下文感知系统，用于监测空气质量，以预防家中的特定健康问题。该系统的目的是降低主要由环境因素引发的婴儿猝死综合征的发病率。在进行的案例研究中，系统监测了新生儿的状态和睡眠时的空气质量。设计的方案具有成本低和非侵入性的特点。结果很有前景。
