Towards the Development of Smart and Reliable Health Assistance Networks Exemplified by an Apnea Detection System

Bathelt-Tok, Franziska; Gruhn, Helena; Glesner, Sabine; Blankenstein, Oliver

doi:10.1109/ichi.2014.39

Cited by 2 publications

(1 citation statement)

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“…In the current literature, it is possible to find works that focus on the design of intelligent systems; they aim to provide accuracy in detecting possible alerts or incidents inferred from the data collected by sensor systems such as those described in this section. In [ 54 ], the authors presented a two-level approach based on neural networks that is capable of differentiating false alarms from real incidents.…”

Section: Previous Workmentioning

confidence: 99%

A Context-Aware Indoor Air Quality System for Sudden Infant Death Syndrome Prevention

Iglesia

Paz

González

et al. 2018

Sensors

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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.

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Section: Previous Workmentioning

confidence: 99%