A proposed remote healthcare monitoring system utilizing wearable sensors, ZigBee, and 3G communications incorporates priority scheduling and data compression to improve bandwidth and reduce power consumption.
Wearable sensors and remote healthcare monitoring system
Recent technological advances in wireless communications and wireless sensor networks have enabled the design of low-cost, intelligent, tiny, and lightweight medical sensor nodes that can be strategically placed on human body, create a wireless body area network (WBAN) to monitor various physiological vital signs for a long period of time and providing real-time feedback to the user and medical staff. WBANs promise to revolutionize health monitoring. In this paper, medical sensors were used to collect physiological data from patients and transmit it to Intelligent Personal digital Assistant (IPDA) using ZigBee/IEEE802.15.4 standard and to medical server using 3G communications. We introduced priority scheduling and data compression into the system to increase transmission rate of physiological critical signals which improve the bandwidth utilization. It also extends the life time of hand-held personal server by reducing power consumption during transmission.
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A. P. Abidoye
University of the Western Cape
Nureni Ayofe Azeez
University of Lagos
Ademola Olusola Adesina
National Open University of Nigeria
Journal of Sensor Technology
University of the Western Cape
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Abidoye et al. (Sat,) reported a other. Wearable sensors and remote healthcare monitoring system was evaluated. A proposed remote healthcare monitoring system utilizing wearable sensors, ZigBee, and 3G communications incorporates priority scheduling and data compression to improve bandwidth and reduce power consumption.
synapsesocial.com/papers/6a22ad7da58d8b2b280e0b71 — DOI: https://doi.org/10.4236/jst.2011.12004
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