Ultra Low Power Signal Oriented Approach for Wireless Health Monitoring
AbstractIn recent years there is growing pressure on the medical sector to reduce costs while maintaining or even improving the quality of care. A potential solution to this problem is real time and/or remote patient monitoring by using mobile devices. To achieve this, medical sensors with wireless communication, computational and energy harvesting capabilities are networked on, or in, the human body forming what is commonly called a Wireless Body Area Network (WBAN). We present the implementation of a novel Wake Up Receiver (WUR) in the context of standardised wireless protocols, in a signal-oriented WBAN environment and present a novel protocol intended for wireless health monitoring (WhMAC). WhMAC is a TDMA-based protocol with very low power consumption. It utilises WBAN-specific features and a novel ultra low power wake up receiver technology, to achieve flexible and at the same time very low power wireless data transfer of physiological signals. As the main application is in the medical domain, or personal health monitoring, the protocol caters for different types of medical sensors. We define four sensor modes, in which the sensors can transmit data, depending on the sensor type and emergency level. A full power dissipation model is provided for the protocol, with individual hardware and application parameters. Finally, an example application shows the reduction in the power consumption for different data monitoring scenarios.
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Marinkovic, S.; Popovici, E. Ultra Low Power Signal Oriented Approach for Wireless Health Monitoring. Sensors 2012, 12, 7917-7937.
Marinkovic S, Popovici E. Ultra Low Power Signal Oriented Approach for Wireless Health Monitoring. Sensors. 2012; 12(6):7917-7937.Chicago/Turabian Style
Marinkovic, Stevan; Popovici, Emanuel. 2012. "Ultra Low Power Signal Oriented Approach for Wireless Health Monitoring." Sensors 12, no. 6: 7917-7937.