Beat-based ECG compression using gain-shape vector quantization

An electrocardiogram (ECG) data compression scheme is presented using the gain-shape vector quantization. The proposed approach utilizes the fact that ECG signals generally show redundancy among adjacent heartbeats and adjacent samples. An ECG signal is QRS detected and segmented according to the de...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on biomedical engineering 2005-11, Vol.52 (11), p.1882-1888
Main Authors: Sun, Chia-Chun, Tai, Shen-Chuan
Format: Article
Language:English
Subjects:
Algorithms
AREA
Arrhythmias, Cardiac - diagnosis
Arrhythmias, Cardiac - physiopathology
Artificial Intelligence
Bit rate
Data compression
Data Compression - methods
Diagnosis, Computer-Assisted - methods
Discrete cosine transforms
Discrete wavelet transforms
ECG compression
Electrocardiography
Electrocardiography - methods
Heart Rate
Humans
Image coding
Pattern Recognition, Automated - methods
Signal detection
Signal Processing, Computer-Assisted
Sun
Vector quantization
vector quantization (VQ)
Visual databases
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c472t-4dc2e024dfd610b5224bad24130ebd732ca778f8dab9d5bce77ed24f49e356b13
cites cdi_FETCH-LOGICAL-c472t-4dc2e024dfd610b5224bad24130ebd732ca778f8dab9d5bce77ed24f49e356b13
container_end_page 1888
container_issue 11
container_start_page 1882
container_title IEEE transactions on biomedical engineering
container_volume 52
creator Sun, Chia-Chun
Tai, Shen-Chuan
description An electrocardiogram (ECG) data compression scheme is presented using the gain-shape vector quantization. The proposed approach utilizes the fact that ECG signals generally show redundancy among adjacent heartbeats and adjacent samples. An ECG signal is QRS detected and segmented according to the detected fiducial points. The segmented heartbeats are vector quantized, and the residual signals are calculated and encoded using the AREA algorithm. The experimental results show that with the proposed method both visual quality and the objective quality are excellent even in low bit rates. An average PRD of 5.97% at 127 b/s is obtained for the entire 48 records in the MIT-BIH database. The proposed method also outperforms others for the same test dataset.
doi_str_mv 10.1109/TBME.2005.856270
format article
fullrecord <record><control><sourceid>proquest_ieee_</sourceid><recordid>TN_cdi_proquest_miscellaneous_28008328</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1519597</ieee_id><sourcerecordid>28008328</sourcerecordid><originalsourceid>FETCH-LOGICAL-c472t-4dc2e024dfd610b5224bad24130ebd732ca778f8dab9d5bce77ed24f49e356b13</originalsourceid><addsrcrecordid>eNqFkU1Lw0AQhhdRbK3eBUGCB2-p-5ndPYkttQoVL_W8bLKTmtJ8NJsI-utNSEHw0tMwzPO-MDwIXRM8JQTrh_XsbTGlGIupEhGV-ASNiRAqpIKRUzTGmKhQU81H6ML7bbdyxaNzNCIRVYJpOkaPM7BNGFsPLljMl0FS5lUN3mdlEbQ-KzbBxmZF6D9tBcEXJE1ZB_vWFk32Y5sOukRnqd15uDrMCfp4XqznL-Hqffk6f1qFCZe0CblLKGDKXeoigmNBKY-to5wwDLGTjCZWSpUqZ2PtRJyAlNCdU66BiSgmbILuh96qLvct-MbkmU9gt7MFlK03VGGsGFXHQcwIjoQ-ChLNqRBadODdP3BbtnXRfWtUJAVhLOohPEBJXXpfQ2qqOstt_W0INr0r07syvSszuOoit4feNs7B_QUOcjrgZgAyAPg7C6KFluwXLbeWrg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>867513365</pqid></control><display><type>article</type><title>Beat-based ECG compression using gain-shape vector quantization</title><source>IEEE Electronic Library (IEL) Journals</source><creator>Sun, Chia-Chun ; Tai, Shen-Chuan</creator><creatorcontrib>Sun, Chia-Chun ; Tai, Shen-Chuan</creatorcontrib><description>An electrocardiogram (ECG) data compression scheme is presented using the gain-shape vector quantization. The proposed approach utilizes the fact that ECG signals generally show redundancy among adjacent heartbeats and adjacent samples. An ECG signal is QRS detected and segmented according to the detected fiducial points. The segmented heartbeats are vector quantized, and the residual signals are calculated and encoded using the AREA algorithm. The experimental results show that with the proposed method both visual quality and the objective quality are excellent even in low bit rates. An average PRD of 5.97% at 127 b/s is obtained for the entire 48 records in the MIT-BIH database. The proposed method also outperforms others for the same test dataset.</description><identifier>ISSN: 0018-9294</identifier><identifier>EISSN: 1558-2531</identifier><identifier>DOI: 10.1109/TBME.2005.856270</identifier><identifier>PMID: 16285392</identifier><identifier>CODEN: IEBEAX</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Algorithms ; AREA ; Arrhythmias, Cardiac - diagnosis ; Arrhythmias, Cardiac - physiopathology ; Artificial Intelligence ; Bit rate ; Data compression ; Data Compression - methods ; Diagnosis, Computer-Assisted - methods ; Discrete cosine transforms ; Discrete wavelet transforms ; ECG compression ; Electrocardiography ; Electrocardiography - methods ; Heart Rate ; Humans ; Image coding ; Pattern Recognition, Automated - methods ; Signal detection ; Signal Processing, Computer-Assisted ; Sun ; Vector quantization ; vector quantization (VQ) ; Visual databases</subject><ispartof>IEEE transactions on biomedical engineering, 2005-11, Vol.52 (11), p.1882-1888</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2005</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c472t-4dc2e024dfd610b5224bad24130ebd732ca778f8dab9d5bce77ed24f49e356b13</citedby><cites>FETCH-LOGICAL-c472t-4dc2e024dfd610b5224bad24130ebd732ca778f8dab9d5bce77ed24f49e356b13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1519597$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,27900,27901,54770</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16285392$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sun, Chia-Chun</creatorcontrib><creatorcontrib>Tai, Shen-Chuan</creatorcontrib><title>Beat-based ECG compression using gain-shape vector quantization</title><title>IEEE transactions on biomedical engineering</title><addtitle>TBME</addtitle><addtitle>IEEE Trans Biomed Eng</addtitle><description>An electrocardiogram (ECG) data compression scheme is presented using the gain-shape vector quantization. The proposed approach utilizes the fact that ECG signals generally show redundancy among adjacent heartbeats and adjacent samples. An ECG signal is QRS detected and segmented according to the detected fiducial points. The segmented heartbeats are vector quantized, and the residual signals are calculated and encoded using the AREA algorithm. The experimental results show that with the proposed method both visual quality and the objective quality are excellent even in low bit rates. An average PRD of 5.97% at 127 b/s is obtained for the entire 48 records in the MIT-BIH database. The proposed method also outperforms others for the same test dataset.</description><subject>Algorithms</subject><subject>AREA</subject><subject>Arrhythmias, Cardiac - diagnosis</subject><subject>Arrhythmias, Cardiac - physiopathology</subject><subject>Artificial Intelligence</subject><subject>Bit rate</subject><subject>Data compression</subject><subject>Data Compression - methods</subject><subject>Diagnosis, Computer-Assisted - methods</subject><subject>Discrete cosine transforms</subject><subject>Discrete wavelet transforms</subject><subject>ECG compression</subject><subject>Electrocardiography</subject><subject>Electrocardiography - methods</subject><subject>Heart Rate</subject><subject>Humans</subject><subject>Image coding</subject><subject>Pattern Recognition, Automated - methods</subject><subject>Signal detection</subject><subject>Signal Processing, Computer-Assisted</subject><subject>Sun</subject><subject>Vector quantization</subject><subject>vector quantization (VQ)</subject><subject>Visual databases</subject><issn>0018-9294</issn><issn>1558-2531</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><recordid>eNqFkU1Lw0AQhhdRbK3eBUGCB2-p-5ndPYkttQoVL_W8bLKTmtJ8NJsI-utNSEHw0tMwzPO-MDwIXRM8JQTrh_XsbTGlGIupEhGV-ASNiRAqpIKRUzTGmKhQU81H6ML7bbdyxaNzNCIRVYJpOkaPM7BNGFsPLljMl0FS5lUN3mdlEbQ-KzbBxmZF6D9tBcEXJE1ZB_vWFk32Y5sOukRnqd15uDrMCfp4XqznL-Hqffk6f1qFCZe0CblLKGDKXeoigmNBKY-to5wwDLGTjCZWSpUqZ2PtRJyAlNCdU66BiSgmbILuh96qLvct-MbkmU9gt7MFlK03VGGsGFXHQcwIjoQ-ChLNqRBadODdP3BbtnXRfWtUJAVhLOohPEBJXXpfQ2qqOstt_W0INr0r07syvSszuOoit4feNs7B_QUOcjrgZgAyAPg7C6KFluwXLbeWrg</recordid><startdate>20051101</startdate><enddate>20051101</enddate><creator>Sun, Chia-Chun</creator><creator>Tai, Shen-Chuan</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (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>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope></search><sort><creationdate>20051101</creationdate><title>Beat-based ECG compression using gain-shape vector quantization</title><author>Sun, Chia-Chun ; Tai, Shen-Chuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c472t-4dc2e024dfd610b5224bad24130ebd732ca778f8dab9d5bce77ed24f49e356b13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Algorithms</topic><topic>AREA</topic><topic>Arrhythmias, Cardiac - diagnosis</topic><topic>Arrhythmias, Cardiac - physiopathology</topic><topic>Artificial Intelligence</topic><topic>Bit rate</topic><topic>Data compression</topic><topic>Data Compression - methods</topic><topic>Diagnosis, Computer-Assisted - methods</topic><topic>Discrete cosine transforms</topic><topic>Discrete wavelet transforms</topic><topic>ECG compression</topic><topic>Electrocardiography</topic><topic>Electrocardiography - methods</topic><topic>Heart Rate</topic><topic>Humans</topic><topic>Image coding</topic><topic>Pattern Recognition, Automated - methods</topic><topic>Signal detection</topic><topic>Signal Processing, Computer-Assisted</topic><topic>Sun</topic><topic>Vector quantization</topic><topic>vector quantization (VQ)</topic><topic>Visual databases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sun, Chia-Chun</creatorcontrib><creatorcontrib>Tai, Shen-Chuan</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 Online</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>IEEE transactions on biomedical engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sun, Chia-Chun</au><au>Tai, Shen-Chuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Beat-based ECG compression using gain-shape vector quantization</atitle><jtitle>IEEE transactions on biomedical engineering</jtitle><stitle>TBME</stitle><addtitle>IEEE Trans Biomed Eng</addtitle><date>2005-11-01</date><risdate>2005</risdate><volume>52</volume><issue>11</issue><spage>1882</spage><epage>1888</epage><pages>1882-1888</pages><issn>0018-9294</issn><eissn>1558-2531</eissn><coden>IEBEAX</coden><abstract>An electrocardiogram (ECG) data compression scheme is presented using the gain-shape vector quantization. The proposed approach utilizes the fact that ECG signals generally show redundancy among adjacent heartbeats and adjacent samples. An ECG signal is QRS detected and segmented according to the detected fiducial points. The segmented heartbeats are vector quantized, and the residual signals are calculated and encoded using the AREA algorithm. The experimental results show that with the proposed method both visual quality and the objective quality are excellent even in low bit rates. An average PRD of 5.97% at 127 b/s is obtained for the entire 48 records in the MIT-BIH database. The proposed method also outperforms others for the same test dataset.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>16285392</pmid><doi>10.1109/TBME.2005.856270</doi><tpages>7</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0018-9294
ispartof IEEE transactions on biomedical engineering, 2005-11, Vol.52 (11), p.1882-1888
issn 0018-9294
1558-2531
language eng
recordid cdi_proquest_miscellaneous_28008328
source IEEE Electronic Library (IEL) Journals
subjects Algorithms
AREA
Arrhythmias, Cardiac - diagnosis
Arrhythmias, Cardiac - physiopathology
Artificial Intelligence
Bit rate
Data compression
Data Compression - methods
Diagnosis, Computer-Assisted - methods
Discrete cosine transforms
Discrete wavelet transforms
ECG compression
Electrocardiography
Electrocardiography - methods
Heart Rate
Humans
Image coding
Pattern Recognition, Automated - methods
Signal detection
Signal Processing, Computer-Assisted
Sun
Vector quantization
vector quantization (VQ)
Visual databases
title Beat-based ECG compression using gain-shape vector quantization
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-24T20%3A42%3A19IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_ieee_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Beat-based%20ECG%20compression%20using%20gain-shape%20vector%20quantization&rft.jtitle=IEEE%20transactions%20on%20biomedical%20engineering&rft.au=Sun,%20Chia-Chun&rft.date=2005-11-01&rft.volume=52&rft.issue=11&rft.spage=1882&rft.epage=1888&rft.pages=1882-1888&rft.issn=0018-9294&rft.eissn=1558-2531&rft.coden=IEBEAX&rft_id=info:doi/10.1109/TBME.2005.856270&rft_dat=%3Cproquest_ieee_%3E28008328%3C/proquest_ieee_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c472t-4dc2e024dfd610b5224bad24130ebd732ca778f8dab9d5bce77ed24f49e356b13%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=867513365&rft_id=info:pmid/16285392&rft_ieee_id=1519597&rfr_iscdi=true