@inproceedings{d10622516c8c49fb81c550f9c9b4f66f,
title = "Ultra-low-power wearable biopotential sensor nodes",
abstract = "This paper discusses ultra-low-power wireless sensor nodes intended for wearable biopotential monitoring. Specific attention is given to mixed-signal design approaches and their impact on the overall system power dissipation. Examples of trade-offs in power dissipation between analog front-ends and digital signal processing are also given. It is shown how signal filtering can further reduce the internal power consumption of a node. Such power saving approaches are indispensable as real-life tests of custom wireless ECG patches reveal the need for artifact detection and correction. The power consumption of such additional features has to come from power savings elsewhere in the system as the overall power budget cannot increase.",
author = "Yazicioglu, {R. F.} and T. Torfs and J. Penders and I. Romero and H. Kim and P. Merken and B. Gyselinckx and Yoo, {H. J.} and {Van Hoof}, C.",
year = "2009",
doi = "10.1109/IEMBS.2009.5333154",
language = "English",
isbn = "9781424432967",
series = "Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3205--3208",
booktitle = "Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society",
note = "31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 ; Conference date: 02-09-2009 Through 06-09-2009",
}