Spatial Resolution Requirements for Accurate Identification of Drivers of Atrial Fibrillation
Recent studies have demonstrated conflicting mechanisms underlying atrial fibrillation (AF), with the spatial resolution of data often cited as a potential reason for the disagreement. The purpose of this study was to investigate whether the variation in spatial resolution of mapping may lead to mis...
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Veröffentlicht in: | Circulation. Arrhythmia and electrophysiology 2017-05, Vol.10 (5), p.e004899-e004899 |
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creator | Roney, Caroline H Cantwell, Chris D Bayer, Jason D Qureshi, Norman A Lim, Phang Boon Tweedy, Jennifer H Kanagaratnam, Prapa Peters, Nicholas S Vigmond, Edward J Ng, Fu Siong |
description | Recent studies have demonstrated conflicting mechanisms underlying atrial fibrillation (AF), with the spatial resolution of data often cited as a potential reason for the disagreement. The purpose of this study was to investigate whether the variation in spatial resolution of mapping may lead to misinterpretation of the underlying mechanism in persistent AF.
Simulations of rotors and focal sources were performed to estimate the minimum number of recording points required to correctly identify the underlying AF mechanism. The effects of different data types (action potentials and unipolar or bipolar electrograms) and rotor stability on resolution requirements were investigated. We also determined the ability of clinically used endocardial catheters to identify AF mechanisms using clinically recorded and simulated data. The spatial resolution required for correct identification of rotors and focal sources is a linear function of spatial wavelength (the distance between wavefronts) of the arrhythmia. Rotor localization errors are larger for electrogram data than for action potential data. Stationary rotors are more reliably identified compared with meandering trajectories, for any given spatial resolution. All clinical high-resolution multipolar catheters are of sufficient resolution to accurately detect and track rotors when placed over the rotor core although the low-resolution basket catheter is prone to false detections and may incorrectly identify rotors that are not present.
The spatial resolution of AF data can significantly affect the interpretation of the underlying AF mechanism. Therefore, the interpretation of human AF data must be taken in the context of the spatial resolution of the recordings. |
doi_str_mv | 10.1161/CIRCEP.116.004899 |
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Simulations of rotors and focal sources were performed to estimate the minimum number of recording points required to correctly identify the underlying AF mechanism. The effects of different data types (action potentials and unipolar or bipolar electrograms) and rotor stability on resolution requirements were investigated. We also determined the ability of clinically used endocardial catheters to identify AF mechanisms using clinically recorded and simulated data. The spatial resolution required for correct identification of rotors and focal sources is a linear function of spatial wavelength (the distance between wavefronts) of the arrhythmia. Rotor localization errors are larger for electrogram data than for action potential data. Stationary rotors are more reliably identified compared with meandering trajectories, for any given spatial resolution. All clinical high-resolution multipolar catheters are of sufficient resolution to accurately detect and track rotors when placed over the rotor core although the low-resolution basket catheter is prone to false detections and may incorrectly identify rotors that are not present.
The spatial resolution of AF data can significantly affect the interpretation of the underlying AF mechanism. Therefore, the interpretation of human AF data must be taken in the context of the spatial resolution of the recordings.</description><identifier>ISSN: 1941-3149</identifier><identifier>EISSN: 1941-3084</identifier><identifier>DOI: 10.1161/CIRCEP.116.004899</identifier><identifier>PMID: 28500175</identifier><language>eng</language><publisher>United States: Lippincott Williams & Wilkins</publisher><subject>Action Potentials ; Atrial Fibrillation - diagnosis ; Atrial Fibrillation - etiology ; Atrial Fibrillation - physiopathology ; Bioengineering ; Cardiac Catheterization - instrumentation ; Cardiac Catheters ; Cardiology and cardiovascular system ; Electrocardiography - instrumentation ; Electrophysiologic Techniques, Cardiac - instrumentation ; Equipment Design ; Heart Conduction System - physiopathology ; Heart Rate ; Human health and pathology ; Humans ; Life Sciences ; Models, Cardiovascular ; Original ; Patient-Specific Modeling ; Predictive Value of Tests ; Reproducibility of Results ; Signal Processing, Computer-Assisted ; Time Factors</subject><ispartof>Circulation. Arrhythmia and electrophysiology, 2017-05, Vol.10 (5), p.e004899-e004899</ispartof><rights>2017 The Authors.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>2017 The Authors. 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c433t-5d4b902d94c098c4cc4281677e392a9e5c5f58f9ee451f5ac4734ebe068792ab3</citedby><cites>FETCH-LOGICAL-c433t-5d4b902d94c098c4cc4281677e392a9e5c5f58f9ee451f5ac4734ebe068792ab3</cites><orcidid>0000-0003-0269-3499</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,3674,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28500175$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-02885666$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Roney, Caroline H</creatorcontrib><creatorcontrib>Cantwell, Chris D</creatorcontrib><creatorcontrib>Bayer, Jason D</creatorcontrib><creatorcontrib>Qureshi, Norman A</creatorcontrib><creatorcontrib>Lim, Phang Boon</creatorcontrib><creatorcontrib>Tweedy, Jennifer H</creatorcontrib><creatorcontrib>Kanagaratnam, Prapa</creatorcontrib><creatorcontrib>Peters, Nicholas S</creatorcontrib><creatorcontrib>Vigmond, Edward J</creatorcontrib><creatorcontrib>Ng, Fu Siong</creatorcontrib><title>Spatial Resolution Requirements for Accurate Identification of Drivers of Atrial Fibrillation</title><title>Circulation. Arrhythmia and electrophysiology</title><addtitle>Circ Arrhythm Electrophysiol</addtitle><description>Recent studies have demonstrated conflicting mechanisms underlying atrial fibrillation (AF), with the spatial resolution of data often cited as a potential reason for the disagreement. The purpose of this study was to investigate whether the variation in spatial resolution of mapping may lead to misinterpretation of the underlying mechanism in persistent AF.
Simulations of rotors and focal sources were performed to estimate the minimum number of recording points required to correctly identify the underlying AF mechanism. The effects of different data types (action potentials and unipolar or bipolar electrograms) and rotor stability on resolution requirements were investigated. We also determined the ability of clinically used endocardial catheters to identify AF mechanisms using clinically recorded and simulated data. The spatial resolution required for correct identification of rotors and focal sources is a linear function of spatial wavelength (the distance between wavefronts) of the arrhythmia. Rotor localization errors are larger for electrogram data than for action potential data. Stationary rotors are more reliably identified compared with meandering trajectories, for any given spatial resolution. All clinical high-resolution multipolar catheters are of sufficient resolution to accurately detect and track rotors when placed over the rotor core although the low-resolution basket catheter is prone to false detections and may incorrectly identify rotors that are not present.
The spatial resolution of AF data can significantly affect the interpretation of the underlying AF mechanism. Therefore, the interpretation of human AF data must be taken in the context of the spatial resolution of the recordings.</description><subject>Action Potentials</subject><subject>Atrial Fibrillation - diagnosis</subject><subject>Atrial Fibrillation - etiology</subject><subject>Atrial Fibrillation - physiopathology</subject><subject>Bioengineering</subject><subject>Cardiac Catheterization - instrumentation</subject><subject>Cardiac Catheters</subject><subject>Cardiology and cardiovascular system</subject><subject>Electrocardiography - instrumentation</subject><subject>Electrophysiologic Techniques, Cardiac - instrumentation</subject><subject>Equipment Design</subject><subject>Heart Conduction System - physiopathology</subject><subject>Heart Rate</subject><subject>Human health and pathology</subject><subject>Humans</subject><subject>Life Sciences</subject><subject>Models, Cardiovascular</subject><subject>Original</subject><subject>Patient-Specific Modeling</subject><subject>Predictive Value of Tests</subject><subject>Reproducibility of Results</subject><subject>Signal Processing, Computer-Assisted</subject><subject>Time Factors</subject><issn>1941-3149</issn><issn>1941-3084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkU9LAzEQxYMoWqsfwIvsUQ_VZJPsJheh1H-FglL1KCGbzmpk27TJbsFvb9atRT3lMXnzZoYfQicEXxCSkcvReDq6eWz1BcZMSLmDekQyMqBYsN0fTZg8QIchfGCcEUGyfXSQCo4xyXkPvT4tdW11lUwhuKqprVtEuWqshzks6pCUzidDYxqva0jGs1izpTX62-jK5NrbNfjQymHt26BbW3hbVd-OI7RX6irA8ebto5fbm-fR_WDycDceDScDwyitB3zGConTmWQGS2GYMSyNi-Y5UJlqCdzwkotSAjBOSq4NyymDAnAm8mgoaB9ddbnLppjDzMQtva7U0tu59p_Kaav-_izsu3pza8UZZTJLY8B5F_D-r-1-OFFtDadC8CzL1iR6zzbDvFs1EGo1t8FAPHkBrgmKRBARCaM4WklnNd6F4KHcZhOsWoSqQ9hq1SGMPae_b9l2_DCjXzTumLU</recordid><startdate>201705</startdate><enddate>201705</enddate><creator>Roney, Caroline H</creator><creator>Cantwell, Chris D</creator><creator>Bayer, Jason D</creator><creator>Qureshi, Norman A</creator><creator>Lim, Phang Boon</creator><creator>Tweedy, Jennifer H</creator><creator>Kanagaratnam, Prapa</creator><creator>Peters, Nicholas S</creator><creator>Vigmond, Edward J</creator><creator>Ng, Fu Siong</creator><general>Lippincott Williams & Wilkins</general><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><scope>1XC</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-0269-3499</orcidid></search><sort><creationdate>201705</creationdate><title>Spatial Resolution Requirements for Accurate Identification of Drivers of Atrial Fibrillation</title><author>Roney, Caroline H ; Cantwell, Chris D ; Bayer, Jason D ; Qureshi, Norman A ; Lim, Phang Boon ; Tweedy, Jennifer H ; Kanagaratnam, Prapa ; Peters, Nicholas S ; Vigmond, Edward J ; Ng, Fu Siong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c433t-5d4b902d94c098c4cc4281677e392a9e5c5f58f9ee451f5ac4734ebe068792ab3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Action Potentials</topic><topic>Atrial Fibrillation - diagnosis</topic><topic>Atrial Fibrillation - etiology</topic><topic>Atrial Fibrillation - physiopathology</topic><topic>Bioengineering</topic><topic>Cardiac Catheterization - instrumentation</topic><topic>Cardiac Catheters</topic><topic>Cardiology and cardiovascular system</topic><topic>Electrocardiography - instrumentation</topic><topic>Electrophysiologic Techniques, Cardiac - instrumentation</topic><topic>Equipment Design</topic><topic>Heart Conduction System - physiopathology</topic><topic>Heart Rate</topic><topic>Human health and pathology</topic><topic>Humans</topic><topic>Life Sciences</topic><topic>Models, Cardiovascular</topic><topic>Original</topic><topic>Patient-Specific Modeling</topic><topic>Predictive Value of Tests</topic><topic>Reproducibility of Results</topic><topic>Signal Processing, Computer-Assisted</topic><topic>Time Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Roney, Caroline H</creatorcontrib><creatorcontrib>Cantwell, Chris D</creatorcontrib><creatorcontrib>Bayer, Jason D</creatorcontrib><creatorcontrib>Qureshi, Norman A</creatorcontrib><creatorcontrib>Lim, Phang Boon</creatorcontrib><creatorcontrib>Tweedy, Jennifer H</creatorcontrib><creatorcontrib>Kanagaratnam, Prapa</creatorcontrib><creatorcontrib>Peters, Nicholas S</creatorcontrib><creatorcontrib>Vigmond, Edward J</creatorcontrib><creatorcontrib>Ng, Fu Siong</creatorcontrib><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><collection>Hyper Article en Ligne (HAL)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Circulation. Arrhythmia and electrophysiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Roney, Caroline H</au><au>Cantwell, Chris D</au><au>Bayer, Jason D</au><au>Qureshi, Norman A</au><au>Lim, Phang Boon</au><au>Tweedy, Jennifer H</au><au>Kanagaratnam, Prapa</au><au>Peters, Nicholas S</au><au>Vigmond, Edward J</au><au>Ng, Fu Siong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial Resolution Requirements for Accurate Identification of Drivers of Atrial Fibrillation</atitle><jtitle>Circulation. Arrhythmia and electrophysiology</jtitle><addtitle>Circ Arrhythm Electrophysiol</addtitle><date>2017-05</date><risdate>2017</risdate><volume>10</volume><issue>5</issue><spage>e004899</spage><epage>e004899</epage><pages>e004899-e004899</pages><issn>1941-3149</issn><eissn>1941-3084</eissn><abstract>Recent studies have demonstrated conflicting mechanisms underlying atrial fibrillation (AF), with the spatial resolution of data often cited as a potential reason for the disagreement. The purpose of this study was to investigate whether the variation in spatial resolution of mapping may lead to misinterpretation of the underlying mechanism in persistent AF.
Simulations of rotors and focal sources were performed to estimate the minimum number of recording points required to correctly identify the underlying AF mechanism. The effects of different data types (action potentials and unipolar or bipolar electrograms) and rotor stability on resolution requirements were investigated. We also determined the ability of clinically used endocardial catheters to identify AF mechanisms using clinically recorded and simulated data. The spatial resolution required for correct identification of rotors and focal sources is a linear function of spatial wavelength (the distance between wavefronts) of the arrhythmia. Rotor localization errors are larger for electrogram data than for action potential data. Stationary rotors are more reliably identified compared with meandering trajectories, for any given spatial resolution. All clinical high-resolution multipolar catheters are of sufficient resolution to accurately detect and track rotors when placed over the rotor core although the low-resolution basket catheter is prone to false detections and may incorrectly identify rotors that are not present.
The spatial resolution of AF data can significantly affect the interpretation of the underlying AF mechanism. Therefore, the interpretation of human AF data must be taken in the context of the spatial resolution of the recordings.</abstract><cop>United States</cop><pub>Lippincott Williams & Wilkins</pub><pmid>28500175</pmid><doi>10.1161/CIRCEP.116.004899</doi><orcidid>https://orcid.org/0000-0003-0269-3499</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; American Heart Association Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
subjects | Action Potentials Atrial Fibrillation - diagnosis Atrial Fibrillation - etiology Atrial Fibrillation - physiopathology Bioengineering Cardiac Catheterization - instrumentation Cardiac Catheters Cardiology and cardiovascular system Electrocardiography - instrumentation Electrophysiologic Techniques, Cardiac - instrumentation Equipment Design Heart Conduction System - physiopathology Heart Rate Human health and pathology Humans Life Sciences Models, Cardiovascular Original Patient-Specific Modeling Predictive Value of Tests Reproducibility of Results Signal Processing, Computer-Assisted Time Factors |
title | Spatial Resolution Requirements for Accurate Identification of Drivers of Atrial Fibrillation |
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