access icon openaccess Design of smart neonatal health monitoring system using SMCC

Automated health monitoring and alert system development is a demanding research area today. Most of the currently available monitoring and controlling medical devices are wired which limits freeness of working environment. Wireless sensor network (WSN) is a better alternative in such an environment. Neonatal intensive care unit is used to take care of sick and premature neonates. Hypothermia is an independent risk factor for neonatal mortality and morbidity. To prevent it an automated monitoring system is required. In this Letter, an automated neonatal health monitoring system is designed using sensor mobile cloud computing (SMCC). SMCC is based on WSN and MCC. In the authors’ system temperature sensor, acceleration sensor and heart rate measurement sensor are used to monitor body temperature, acceleration due to body movement and heart rate of neonates. The sensor data are stored inside the cloud. The health person continuously monitors and accesses these data through the mobile device using an Android Application for neonatal monitoring. When an abnormal situation arises, an alert is generated in the mobile device of the health person. By alerting health professional using such an automated system, early care is provided to the affected babies and the probability of recovery is increased.

Inspec keywords: wireless sensor networks; smart phones; paediatrics; cardiology; temperature sensors; accelerometers; cloud computing; patient monitoring; intelligent sensors

Other keywords: neonatal intensive care unit; heart rate measurement sensor; mobile device; temperature sensor; alert system development; body temperature; body movement; sensor mobile cloud computing; acceleration sensor; premature neonates; automated health monitoring; Android application; hypothermia; wireless radiant warmer; wireless sensor network; smart neonatal health monitoring system

Subjects: Mobile radio systems; Wireless sensor networks; Biomedical engineering; Intelligent sensors; Mobile, ubiquitous and pervasive computing; Biology and medical computing; Biomedical measurement and imaging

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http://iet.metastore.ingenta.com/content/journals/10.1049/htl.2016.0054
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