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Intelligent electrode design for long-term ECG monitoring at home: Prototype design using FPAA and FPGA
KTH, School of Information and Communication Technology (ICT), Electronic, Computer and Software Systems, ECS. KTH, School of Information and Communication Technology (ICT), Centres, VinnExcellence Center for Intelligence in Paper and Packaging, iPACK.
KTH, School of Information and Communication Technology (ICT), Electronic, Computer and Software Systems, ECS. KTH, School of Information and Communication Technology (ICT), Centres, VinnExcellence Center for Intelligence in Paper and Packaging, iPACK.
KTH, School of Information and Communication Technology (ICT), Electronic, Computer and Software Systems, ECS. KTH, School of Information and Communication Technology (ICT), Centres, VinnExcellence Center for Intelligence in Paper and Packaging, iPACK.
KTH, School of Information and Communication Technology (ICT), Electronic, Computer and Software Systems, ECS. KTH, School of Information and Communication Technology (ICT), Centres, VinnExcellence Center for Intelligence in Paper and Packaging, iPACK.
2009 (English)In: 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare - Pervasive Health 2009, PCTHealth 2009, 2009Conference paper, Published paper (Refereed)
Abstract [en]

A personal medical device supporting continuous biosignals monitoring is presented. The novelty of this paper is to provide an intelligent electrode suitable for long-term ECG monitoring. The proposed intelligent electrode is composed of an ASIC chip and a micro pikes array established on a gauze plaster substrate. By comparing the signal quality, the patient's comfort and convenience, the proposed intelligent electrode could be an alternative to the traditional adhesive electrode. A prototype for the intelligent electrode is built up based on programmable FPAA and FPGA chips.

Place, publisher, year, edition, pages
2009.
Keyword [en]
Delta-Sigma modulator, ECG monitoring, FPAA, FPGA, Intelligent electrode, Long-term, Micro pikes, Signal digitization, Signal extraction, Signal transmission
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:kth:diva-75207DOI: 10.4108/ICST.PERVASIVEHEALTH2009.6005Scopus ID: 2-s2.0-70350765259OAI: oai:DiVA.org:kth-75207DiVA: diva2:490333
Conference
2009 3rd International Conference on Pervasive Computing Technologies for Healthcare - Pervasive Health 2009, PCTHealth 2009. London. 1 April 2009 - 3 April 2009
Note
QC 20120207Available from: 2012-02-05 Created: 2012-02-05 Last updated: 2012-02-07Bibliographically approved

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Yang, GengChen, JianTenhunen, HannuZheng, Li-Rong
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