Design of Wavelet-Based ECG Detector for Implantable Cardiac Pacemakers
A wavelet Electrocardiogram (ECG) detector for low-power implantable cardiac pacemakers is presented in this paper. The proposed wavelet-based ECG detector consists of a wavelet decomposer with wavelet filter banks, a QRS complex detector of hypothesis testing with wavelet-demodulated ECG signals, a...
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| Veröffentlicht in: | IEEE transactions on biomedical circuits and systems 2013-08, Vol.7 (4), p.426-436 |
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| creator | Min, Young-Jae Kim, Hoon-Ki Kang, Yu-Ri Kim, Gil-Su Park, Jongsun Kim, Soo-Won |
| description | A wavelet Electrocardiogram (ECG) detector for low-power implantable cardiac pacemakers is presented in this paper. The proposed wavelet-based ECG detector consists of a wavelet decomposer with wavelet filter banks, a QRS complex detector of hypothesis testing with wavelet-demodulated ECG signals, and a noise detector with zero-crossing points. In order to achieve high detection accuracy with low power consumption, a multi-scaled product algorithm and soft-threshold algorithm are efficiently exploited in our ECG detector implementation. Our algorithmic and architectural level approaches have been implemented and fabricated in a standard 0.35 μm CMOS technology. The testchip including a low-power analog-to-digital converter (ADC) shows a low detection error-rate of 0.196% and low power consumption of 19.02 μW with a 3 V supply voltage. |
| doi_str_mv | 10.1109/TBCAS.2012.2229463 |
| format | Article |
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The proposed wavelet-based ECG detector consists of a wavelet decomposer with wavelet filter banks, a QRS complex detector of hypothesis testing with wavelet-demodulated ECG signals, and a noise detector with zero-crossing points. In order to achieve high detection accuracy with low power consumption, a multi-scaled product algorithm and soft-threshold algorithm are efficiently exploited in our ECG detector implementation. Our algorithmic and architectural level approaches have been implemented and fabricated in a standard 0.35 μm CMOS technology. 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The proposed wavelet-based ECG detector consists of a wavelet decomposer with wavelet filter banks, a QRS complex detector of hypothesis testing with wavelet-demodulated ECG signals, and a noise detector with zero-crossing points. In order to achieve high detection accuracy with low power consumption, a multi-scaled product algorithm and soft-threshold algorithm are efficiently exploited in our ECG detector implementation. Our algorithmic and architectural level approaches have been implemented and fabricated in a standard 0.35 μm CMOS technology. The testchip including a low-power analog-to-digital converter (ADC) shows a low detection error-rate of 0.196% and low power consumption of 19.02 μW with a 3 V supply voltage.</description><subject>Algorithms</subject><subject>Analog-Digital Conversion</subject><subject>Detectors</subject><subject>Electrocardiography</subject><subject>Electrocardiography - instrumentation</subject><subject>Electrodes, Implanted</subject><subject>Equipment Design</subject><subject>Hardware</subject><subject>Humans</subject><subject>Implantable cardiac pacemaker</subject><subject>multi-scaled product</subject><subject>Noise</subject><subject>Pacemaker, Artificial</subject><subject>Pacemakers</subject><subject>Power demand</subject><subject>Signal Processing, Computer-Assisted</subject><subject>soft-threshold algorithm</subject><subject>Wavelet Analysis</subject><subject>wavelet ECG detector</subject><subject>Wavelet transforms</subject><issn>1932-4545</issn><issn>1940-9990</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><sourceid>EIF</sourceid><recordid>eNo9kNFLwzAQxoMobk7_AQXpoy-dyaVpmsetm3MwUHDgY0jaq1TbdSad4H9v5qYPxx183x3f_Qi5ZnTMGFX362k-eRkDZTAGAJWk_IQMmUporJSip_uZQ5yIRAzIhffvlIoUFJyTAfAsSBSGZDFDX79toq6KXs0XNtjHU-OxjOb5Ipphj0XfuagKtWy3jdn0xjYY5caVtSmiZ1Ngaz7Q-UtyVpnG49Wxj8j6Yb7OH-PV02KZT1ZxwYH3sSqzVCorFFfKZowpCyEJEyWVmZGcZpRlQlleAVqZlCkvDQrJaJCBW8VH5O5wduu6zx36Xre1L7AJybDbec0SJlIqhKTBCgdr4TrvHVZ66-rWuG_NqN7z07_89J6fPvILS7fH-zvbYvm_8gcsGG4OhhoR_-U0kQzCUz_BaXEs</recordid><startdate>20130801</startdate><enddate>20130801</enddate><creator>Min, Young-Jae</creator><creator>Kim, Hoon-Ki</creator><creator>Kang, Yu-Ri</creator><creator>Kim, Gil-Su</creator><creator>Park, Jongsun</creator><creator>Kim, Soo-Won</creator><general>IEEE</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20130801</creationdate><title>Design of Wavelet-Based ECG Detector for Implantable Cardiac Pacemakers</title><author>Min, Young-Jae ; Kim, Hoon-Ki ; Kang, Yu-Ri ; Kim, Gil-Su ; Park, Jongsun ; Kim, Soo-Won</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c323t-9d8679b59399b8119b289315d078a730801859b3f2eb74d63dae571007823b93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Algorithms</topic><topic>Analog-Digital Conversion</topic><topic>Detectors</topic><topic>Electrocardiography</topic><topic>Electrocardiography - instrumentation</topic><topic>Electrodes, Implanted</topic><topic>Equipment Design</topic><topic>Hardware</topic><topic>Humans</topic><topic>Implantable cardiac pacemaker</topic><topic>multi-scaled product</topic><topic>Noise</topic><topic>Pacemaker, Artificial</topic><topic>Pacemakers</topic><topic>Power demand</topic><topic>Signal Processing, Computer-Assisted</topic><topic>soft-threshold algorithm</topic><topic>Wavelet Analysis</topic><topic>wavelet ECG detector</topic><topic>Wavelet transforms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Min, Young-Jae</creatorcontrib><creatorcontrib>Kim, Hoon-Ki</creatorcontrib><creatorcontrib>Kang, Yu-Ri</creatorcontrib><creatorcontrib>Kim, Gil-Su</creatorcontrib><creatorcontrib>Park, Jongsun</creatorcontrib><creatorcontrib>Kim, Soo-Won</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>IEEE transactions on biomedical circuits and systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Min, Young-Jae</au><au>Kim, Hoon-Ki</au><au>Kang, Yu-Ri</au><au>Kim, Gil-Su</au><au>Park, Jongsun</au><au>Kim, Soo-Won</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Design of Wavelet-Based ECG Detector for Implantable Cardiac Pacemakers</atitle><jtitle>IEEE transactions on biomedical circuits and systems</jtitle><stitle>TBCAS</stitle><addtitle>IEEE Trans Biomed Circuits Syst</addtitle><date>2013-08-01</date><risdate>2013</risdate><volume>7</volume><issue>4</issue><spage>426</spage><epage>436</epage><pages>426-436</pages><issn>1932-4545</issn><eissn>1940-9990</eissn><coden>ITBCCW</coden><abstract>A wavelet Electrocardiogram (ECG) detector for low-power implantable cardiac pacemakers is presented in this paper. The proposed wavelet-based ECG detector consists of a wavelet decomposer with wavelet filter banks, a QRS complex detector of hypothesis testing with wavelet-demodulated ECG signals, and a noise detector with zero-crossing points. In order to achieve high detection accuracy with low power consumption, a multi-scaled product algorithm and soft-threshold algorithm are efficiently exploited in our ECG detector implementation. Our algorithmic and architectural level approaches have been implemented and fabricated in a standard 0.35 μm CMOS technology. The testchip including a low-power analog-to-digital converter (ADC) shows a low detection error-rate of 0.196% and low power consumption of 19.02 μW with a 3 V supply voltage.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>23893202</pmid><doi>10.1109/TBCAS.2012.2229463</doi><tpages>11</tpages></addata></record> |
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| identifier | ISSN: 1932-4545 |
| ispartof | IEEE transactions on biomedical circuits and systems, 2013-08, Vol.7 (4), p.426-436 |
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| subjects | Algorithms Analog-Digital Conversion Detectors Electrocardiography Electrocardiography - instrumentation Electrodes, Implanted Equipment Design Hardware Humans Implantable cardiac pacemaker multi-scaled product Noise Pacemaker, Artificial Pacemakers Power demand Signal Processing, Computer-Assisted soft-threshold algorithm Wavelet Analysis wavelet ECG detector Wavelet transforms |
| title | Design of Wavelet-Based ECG Detector for Implantable Cardiac Pacemakers |
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