Literature DB >> 19964056

Ultra-low-power wearable biopotential sensor nodes.

R F Yazicioglu1, T Torfs, J Penders, I Romero, H Kim, P Merken, B Gyselinckx, H J Yoo, C Van Hoof.   

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.

Mesh:

Year:  2009        PMID: 19964056     DOI: 10.1109/IEMBS.2009.5333154

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  Body Area Networks for ubiquitous healthcare applications: opportunities and challenges.

Authors:  Emil Jovanov; Aleksandar Milenkovic
Journal:  J Med Syst       Date:  2011-02-17       Impact factor: 4.460

2.  Wavelet-based Encoding Scheme for Controlling Size of Compressed ECG Segments in Telecardiology Systems.

Authors:  Asiya M Al-Busaidi; Lazhar Khriji; Farid Touati; Mohd Fadlee Rasid; Adel Ben Mnaouer
Journal:  J Med Syst       Date:  2017-09-12       Impact factor: 4.460

3.  A Digital Compressed Sensing-Based Energy-Efficient Single-Spot Bluetooth ECG Node.

Authors:  Kan Luo; Zhipeng Cai; Keqin Du; Fumin Zou; Xiangyu Zhang; Jianqing Li
Journal:  J Healthc Eng       Date:  2018-01-11       Impact factor: 2.682

  3 in total

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