Estimation of the Cardiac Field in the Esophagus Using a Multipolar Esophageal Catheter
The rapid progress of invasive therapeutic options for cardiac arrhythmias increases the need for accurate diagnostics. The surface electrocardiogram (ECG) is still the standard of noninvasive diagnostics but lacks atrial signal resolution. By contrast, esophageal electrocardiography (EECG) yields a...
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Veröffentlicht in: | IEEE transactions on biomedical circuits and systems 2018-08, Vol.12 (4), p.791-800 |
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creator | Wildhaber, Reto Andreas Bruegger, Dominik Zalmai, Nour Malmberg, Hampus Goette, Josef Jacomet, Marcel Tanner, Hildegard Haeberlin, Andreas Loeliger, Hans-Andrea |
description | The rapid progress of invasive therapeutic options for cardiac arrhythmias increases the need for accurate diagnostics. The surface electrocardiogram (ECG) is still the standard of noninvasive diagnostics but lacks atrial signal resolution. By contrast, esophageal electrocardiography (EECG) yields atrial signals of high amplitude and with a high signal-to-noise ratio. Esophageal electrocardiography has become fast and safe, but the mechanical constraints of esophageal measuring catheters and the "random" motion of the catheter inside the subject's esophagus limit the spatial resolution of EECG signals. In this paper, we propose a method to estimate the electrical field projected onto the esophagus with an increased spatial resolution, using commonly available esophageal catheters. In a first step, we estimate the time-varying catheter position, and in a second step, we estimate the projected electrical field with enhanced spatial resolution. The proposed algorithm comprises several consecutive optimization steps, where each intermediate step produces not just a single point estimate, but a cost function over multiple solutions, which reduces the information loss at each processing step. We conclude with examples from a clinical trial, where the fields of cardiac arrhythmias are presented as two-dimensional contour plots. |
doi_str_mv | 10.1109/TBCAS.2018.2817027 |
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The surface electrocardiogram (ECG) is still the standard of noninvasive diagnostics but lacks atrial signal resolution. By contrast, esophageal electrocardiography (EECG) yields atrial signals of high amplitude and with a high signal-to-noise ratio. Esophageal electrocardiography has become fast and safe, but the mechanical constraints of esophageal measuring catheters and the "random" motion of the catheter inside the subject's esophagus limit the spatial resolution of EECG signals. In this paper, we propose a method to estimate the electrical field projected onto the esophagus with an increased spatial resolution, using commonly available esophageal catheters. In a first step, we estimate the time-varying catheter position, and in a second step, we estimate the projected electrical field with enhanced spatial resolution. The proposed algorithm comprises several consecutive optimization steps, where each intermediate step produces not just a single point estimate, but a cost function over multiple solutions, which reduces the information loss at each processing step. We conclude with examples from a clinical trial, where the fields of cardiac arrhythmias are presented as two-dimensional contour plots.</description><identifier>ISSN: 1932-4545</identifier><identifier>EISSN: 1940-9990</identifier><identifier>DOI: 10.1109/TBCAS.2018.2817027</identifier><identifier>PMID: 29993892</identifier><identifier>CODEN: ITBCCW</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Algorithm ; Algorithms ; arrhythmia diagnostics ; Arrhythmias, Cardiac - physiopathology ; Cardiac arrhythmia ; cardiac arrhythmias ; Catheters ; Echocardiography ; EKG ; Electrocardiography ; Electrocardiography - methods ; Electrodes ; esophageal electrocardiography ; Esophagus ; Esophagus - pathology ; Esophagus - physiopathology ; Heart ; Heart - physiology ; Heart beat ; Humans ; Indexes ; Information processing ; medical device ; Medical instruments ; multi-channel signal processing ; Optimization ; Signal Processing, Computer-Assisted ; signal reconstruction ; Signal-To-Noise Ratio ; Spatial resolution</subject><ispartof>IEEE transactions on biomedical circuits and systems, 2018-08, Vol.12 (4), p.791-800</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c351t-11a3ff64c85f7258e91e918f5d0a5b2537030d7922c5ee4028213227fb2fc6393</citedby><cites>FETCH-LOGICAL-c351t-11a3ff64c85f7258e91e918f5d0a5b2537030d7922c5ee4028213227fb2fc6393</cites><orcidid>0000-0001-7100-1711 ; 0000-0002-7372-1963 ; 0000-0003-2512-4635 ; 0000-0002-0849-0775 ; 0000-0002-7089-3268 ; 0000-0001-9837-6652 ; 0000-0001-9722-5617 ; 0000-0001-7153-7145</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8355718$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27923,27924,54757</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8355718$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29993892$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wildhaber, Reto Andreas</creatorcontrib><creatorcontrib>Bruegger, Dominik</creatorcontrib><creatorcontrib>Zalmai, Nour</creatorcontrib><creatorcontrib>Malmberg, Hampus</creatorcontrib><creatorcontrib>Goette, Josef</creatorcontrib><creatorcontrib>Jacomet, Marcel</creatorcontrib><creatorcontrib>Tanner, Hildegard</creatorcontrib><creatorcontrib>Haeberlin, Andreas</creatorcontrib><creatorcontrib>Loeliger, Hans-Andrea</creatorcontrib><title>Estimation of the Cardiac Field in the Esophagus Using a Multipolar Esophageal Catheter</title><title>IEEE transactions on biomedical circuits and systems</title><addtitle>TBCAS</addtitle><addtitle>IEEE Trans Biomed Circuits Syst</addtitle><description>The rapid progress of invasive therapeutic options for cardiac arrhythmias increases the need for accurate diagnostics. The surface electrocardiogram (ECG) is still the standard of noninvasive diagnostics but lacks atrial signal resolution. By contrast, esophageal electrocardiography (EECG) yields atrial signals of high amplitude and with a high signal-to-noise ratio. Esophageal electrocardiography has become fast and safe, but the mechanical constraints of esophageal measuring catheters and the "random" motion of the catheter inside the subject's esophagus limit the spatial resolution of EECG signals. In this paper, we propose a method to estimate the electrical field projected onto the esophagus with an increased spatial resolution, using commonly available esophageal catheters. In a first step, we estimate the time-varying catheter position, and in a second step, we estimate the projected electrical field with enhanced spatial resolution. The proposed algorithm comprises several consecutive optimization steps, where each intermediate step produces not just a single point estimate, but a cost function over multiple solutions, which reduces the information loss at each processing step. We conclude with examples from a clinical trial, where the fields of cardiac arrhythmias are presented as two-dimensional contour plots.</description><subject>Algorithm</subject><subject>Algorithms</subject><subject>arrhythmia diagnostics</subject><subject>Arrhythmias, Cardiac - physiopathology</subject><subject>Cardiac arrhythmia</subject><subject>cardiac arrhythmias</subject><subject>Catheters</subject><subject>Echocardiography</subject><subject>EKG</subject><subject>Electrocardiography</subject><subject>Electrocardiography - methods</subject><subject>Electrodes</subject><subject>esophageal electrocardiography</subject><subject>Esophagus</subject><subject>Esophagus - pathology</subject><subject>Esophagus - physiopathology</subject><subject>Heart</subject><subject>Heart - physiology</subject><subject>Heart beat</subject><subject>Humans</subject><subject>Indexes</subject><subject>Information processing</subject><subject>medical device</subject><subject>Medical instruments</subject><subject>multi-channel signal processing</subject><subject>Optimization</subject><subject>Signal Processing, Computer-Assisted</subject><subject>signal reconstruction</subject><subject>Signal-To-Noise Ratio</subject><subject>Spatial resolution</subject><issn>1932-4545</issn><issn>1940-9990</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><sourceid>EIF</sourceid><recordid>eNpdkM9LwzAUx4MoTqf_gIIUvHjpTF6aJjnOsakw8eCGx5K1yZbRtTNpD_73pvt1EB7kkff5Ph4fhO4IHhCC5fPsZTT8GgAmYgCCcAz8DF0RmeBYSonPu55CnLCE9dC192uMWQoSLlEPAkCFhCv0PfaN3ajG1lVUm6hZ6WikXGFVHk2sLovIVrvPsa-3K7VsfTT3tlpGKvpoy8Zu61K541CrMoQD3Wh3gy6MKr2-Pbx9NJ-MZ6O3ePr5-j4aTuOcMtLEhChqTJrkghkOTGhJQgnDCqzYAhjlmOKCS4CcaZ1gEEAoADcLMHlKJe2jp_3erat_Wu2bbGN9rstSVbpufQY4FTQhnHfo4z90XbeuCtcFSojgjacdBXsqd7X3Tpts64Ig95sRnHXas532rNOeHbSH0MNhdbvY6OIUOXoOwP0esFrr01hQxjgR9A9CBIRk</recordid><startdate>20180801</startdate><enddate>20180801</enddate><creator>Wildhaber, Reto Andreas</creator><creator>Bruegger, Dominik</creator><creator>Zalmai, Nour</creator><creator>Malmberg, Hampus</creator><creator>Goette, Josef</creator><creator>Jacomet, Marcel</creator><creator>Tanner, Hildegard</creator><creator>Haeberlin, Andreas</creator><creator>Loeliger, Hans-Andrea</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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The surface electrocardiogram (ECG) is still the standard of noninvasive diagnostics but lacks atrial signal resolution. By contrast, esophageal electrocardiography (EECG) yields atrial signals of high amplitude and with a high signal-to-noise ratio. Esophageal electrocardiography has become fast and safe, but the mechanical constraints of esophageal measuring catheters and the "random" motion of the catheter inside the subject's esophagus limit the spatial resolution of EECG signals. In this paper, we propose a method to estimate the electrical field projected onto the esophagus with an increased spatial resolution, using commonly available esophageal catheters. In a first step, we estimate the time-varying catheter position, and in a second step, we estimate the projected electrical field with enhanced spatial resolution. The proposed algorithm comprises several consecutive optimization steps, where each intermediate step produces not just a single point estimate, but a cost function over multiple solutions, which reduces the information loss at each processing step. We conclude with examples from a clinical trial, where the fields of cardiac arrhythmias are presented as two-dimensional contour plots.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>29993892</pmid><doi>10.1109/TBCAS.2018.2817027</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-7100-1711</orcidid><orcidid>https://orcid.org/0000-0002-7372-1963</orcidid><orcidid>https://orcid.org/0000-0003-2512-4635</orcidid><orcidid>https://orcid.org/0000-0002-0849-0775</orcidid><orcidid>https://orcid.org/0000-0002-7089-3268</orcidid><orcidid>https://orcid.org/0000-0001-9837-6652</orcidid><orcidid>https://orcid.org/0000-0001-9722-5617</orcidid><orcidid>https://orcid.org/0000-0001-7153-7145</orcidid></addata></record> |
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subjects | Algorithm Algorithms arrhythmia diagnostics Arrhythmias, Cardiac - physiopathology Cardiac arrhythmia cardiac arrhythmias Catheters Echocardiography EKG Electrocardiography Electrocardiography - methods Electrodes esophageal electrocardiography Esophagus Esophagus - pathology Esophagus - physiopathology Heart Heart - physiology Heart beat Humans Indexes Information processing medical device Medical instruments multi-channel signal processing Optimization Signal Processing, Computer-Assisted signal reconstruction Signal-To-Noise Ratio Spatial resolution |
title | Estimation of the Cardiac Field in the Esophagus Using a Multipolar Esophageal Catheter |
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