DocumentCode
2386006
Title
Ultra-low-power wearable biopotential sensor nodes
Author
Yazicioglu, R.F. ; Torfs, T. ; Penders, J. ; Romero, I. ; Kim, H. ; Merken, P. ; Gyselinckx, B. ; Yoo, H.J. ; Van Hoof, C.
Author_Institution
IMEC, Leuven, Belgium
fYear
2009
fDate
3-6 Sept. 2009
Firstpage
3205
Lastpage
3208
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.
Keywords
biomedical telemetry; body area networks; electric sensing devices; electrocardiography; medical signal processing; wireless sensor networks; analog front end; digital signal processing; mixed signal design; node internal power consumption; power dissipation; ultralow power biopotential sensor nodes; wearable biopotential monitoring; wearable biopotential sensor nodes; wireless ECG patches; wireless sensor nodes; Algorithms; Amplifiers, Electronic; Computer Communication Networks; Electric Power Supplies; Electrocardiography; Electrodes; Equipment Design; Humans; Monitoring, Ambulatory; Pattern Recognition, Automated; Signal Processing, Computer-Assisted; Software; Telemetry; User-Computer Interface;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location
Minneapolis, MN
ISSN
1557-170X
Print_ISBN
978-1-4244-3296-7
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2009.5333154
Filename
5333154
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