人体传感器网络中的功率优化：以由光伏电池供电的自主无线肌电图传感器为例。
Power optimization in body sensor networks: the case of an autonomous wireless EMG sensor powered by PV-cells.
作者信息
Penders J, Pop V, Caballero L, van de Molengraft J, van Schaijk R, Vullers R, Van Hoof C
机构信息
Holst Centre, HTC 31, 5656, AE Eindhoven, the Netherlands.
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:2017-20. doi: 10.1109/IEMBS.2010.5628052.
Recent advances in ultra-low-power circuits and energy harvesters are making self-powered body sensor nodes a reality. Power optimization at the system and application level is crucial in achieving ultra-low-power consumption for the entire system. This paper reviews system-level power optimization techniques, and illustrates their impact on the case of autonomous wireless EMG monitoring. The resulting prototype, an Autonomous wireless EMG sensor power by PV-cells, is presented.
超低功耗电路和能量收集器的最新进展正在使自供电人体传感器节点成为现实。在系统和应用层面进行功耗优化对于实现整个系统的超低功耗至关重要。本文回顾了系统级功耗优化技术，并阐述了它们在自主无线肌电图监测案例中的作用。展示了由此产生的原型，即一个由光伏电池供电的自主无线肌电图传感器。
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