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Eye tracking in the assessment of electrocardiogram interpretation techniques
Human observers with varying degrees of expertise interpret the 12-lead electrocardiogram (ECG) in different ways. In this work the authors investigate whether eye tracking can be used to gain an insight into how a human observer interprets the 12-lead ECG. A clinical scientist interpreted 29 ECGs w...
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creator | Bond, R. R. Finlay, D. D. Breen, C. Boyd, K. Nugent, C. D. Black, N. D. Macfarlane, P. W. Guldenring, D. |
description | Human observers with varying degrees of expertise interpret the 12-lead electrocardiogram (ECG) in different ways. In this work the authors investigate whether eye tracking can be used to gain an insight into how a human observer interprets the 12-lead ECG. A clinical scientist interpreted 29 ECGs whilst an eye tracking device was used to record eye movement patterns. The time dedicated to studying each lead across all 29 ECGs was recorded. The observer dedicated 26% of his time to studying the rhythm strip and only 1% of his time to studying lead aVR (t-test: p-value |
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R. ; Finlay, D. D. ; Breen, C. ; Boyd, K. ; Nugent, C. D. ; Black, N. D. ; Macfarlane, P. W. ; Guldenring, D.</creator><creatorcontrib>Bond, R. R. ; Finlay, D. D. ; Breen, C. ; Boyd, K. ; Nugent, C. D. ; Black, N. D. ; Macfarlane, P. W. ; Guldenring, D.</creatorcontrib><description>Human observers with varying degrees of expertise interpret the 12-lead electrocardiogram (ECG) in different ways. In this work the authors investigate whether eye tracking can be used to gain an insight into how a human observer interprets the 12-lead ECG. A clinical scientist interpreted 29 ECGs whilst an eye tracking device was used to record eye movement patterns. The time dedicated to studying each lead across all 29 ECGs was recorded. The observer dedicated 26% of his time to studying the rhythm strip and only 1% of his time to studying lead aVR (t-test: p-value <; 0.01). 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The observer dedicated 26% of his time to studying the rhythm strip and only 1% of his time to studying lead aVR (t-test: p-value <; 0.01). Eye tracking has the potential to provide an insight into how an individual observer interprets an ECG.</description><subject>Electrocardiography</subject><subject>Heating</subject><subject>Medical diagnostic imaging</subject><subject>Observers</subject><subject>Software</subject><subject>Tracking</subject><issn>0276-6574</issn><issn>2325-8853</issn><isbn>1467320765</isbn><isbn>9781467320764</isbn><isbn>9781467320757</isbn><isbn>9781467320771</isbn><isbn>1467320757</isbn><isbn>1467320773</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1jMlOwzAURc0kkZZ-ARv_QCRPzy9ZoqoMUhEbWFeO89wamqTYZtG_pxJ0dRfnnHvBFi020ljUSiDgJauUVlA3DegrNjsDC9esEgptbQHNLZvl_CmEbFuEir2ujsRLcv4rjlseR152xF3OlPNAY-FT4LQnX9LkXerjtE1uOGmF0iFRcSVOp4T8bozfP5Tv2E1w-0yL_52zj8fV-_K5Xr89vSwf1nWUCKWmXuiut8FLFaTX2tiAQjQarKJWg-tNB0Gp0FlDTnTSYaMkou88gOg96jm7__uNRLQ5pDi4dNxYo4SxQv8CorNOGw</recordid><startdate>201209</startdate><enddate>201209</enddate><creator>Bond, R. 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W.</creatorcontrib><creatorcontrib>Guldenring, D.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library Online</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Bond, R. R.</au><au>Finlay, D. D.</au><au>Breen, C.</au><au>Boyd, K.</au><au>Nugent, C. D.</au><au>Black, N. D.</au><au>Macfarlane, P. W.</au><au>Guldenring, D.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Eye tracking in the assessment of electrocardiogram interpretation techniques</atitle><btitle>2012 Computing in Cardiology</btitle><stitle>CiC</stitle><date>2012-09</date><risdate>2012</risdate><spage>581</spage><epage>584</epage><pages>581-584</pages><issn>0276-6574</issn><eissn>2325-8853</eissn><isbn>1467320765</isbn><isbn>9781467320764</isbn><eisbn>9781467320757</eisbn><eisbn>9781467320771</eisbn><eisbn>1467320757</eisbn><eisbn>1467320773</eisbn><abstract>Human observers with varying degrees of expertise interpret the 12-lead electrocardiogram (ECG) in different ways. In this work the authors investigate whether eye tracking can be used to gain an insight into how a human observer interprets the 12-lead ECG. A clinical scientist interpreted 29 ECGs whilst an eye tracking device was used to record eye movement patterns. The time dedicated to studying each lead across all 29 ECGs was recorded. The observer dedicated 26% of his time to studying the rhythm strip and only 1% of his time to studying lead aVR (t-test: p-value <; 0.01). Eye tracking has the potential to provide an insight into how an individual observer interprets an ECG.</abstract><pub>IEEE</pub><tpages>4</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Electrocardiography Heating Medical diagnostic imaging Observers Software Tracking |
title | Eye tracking in the assessment of electrocardiogram interpretation techniques |
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