An evaluation of eye tracking technology in the assessment of 12 lead electrocardiography interpretation
Abstract Introduction This study investigated eye tracking technology for 12 lead electrocardiography interpretation to Healthcare Scientist students. Methods Participants ( n = 33) interpreted ten 12 lead ECG recordings and randomized to receive objective individual appraisal on their efforts eithe...
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| Veröffentlicht in: | Journal of electrocardiology 2014-11, Vol.47 (6), p.922-929 |
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| container_title | Journal of electrocardiology |
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| creator | Breen, Cathal J., BSc, Hons Bond, Raymond, PhD Finlay, Dewar, PhD |
| description | Abstract Introduction This study investigated eye tracking technology for 12 lead electrocardiography interpretation to Healthcare Scientist students. Methods Participants ( n = 33) interpreted ten 12 lead ECG recordings and randomized to receive objective individual appraisal on their efforts either by traditional didactic format or by eye tracker software. Results One hundred percent of participants reported the experience positively at improving their ECG interpretation competency. ECG analysis time ranged between 13.2 and 59.5 s. The rhythm strip was the most common lead studied and fixated on for the longest duration (mean 9.9 s). Lead I was studied for the shortest duration (mean 0.25 s). Feedback using eye tracking data during ECG interpretation did not produce any significant variation between the assessment marks of the study and the control groups ( p = 0.32). Conclusions Although the hypothesis of this study was rejected active teaching and early feedback practices are recommended within this discipline. |
| doi_str_mv | 10.1016/j.jelectrocard.2014.08.008 |
| format | Article |
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Methods Participants ( n = 33) interpreted ten 12 lead ECG recordings and randomized to receive objective individual appraisal on their efforts either by traditional didactic format or by eye tracker software. Results One hundred percent of participants reported the experience positively at improving their ECG interpretation competency. ECG analysis time ranged between 13.2 and 59.5 s. The rhythm strip was the most common lead studied and fixated on for the longest duration (mean 9.9 s). Lead I was studied for the shortest duration (mean 0.25 s). Feedback using eye tracking data during ECG interpretation did not produce any significant variation between the assessment marks of the study and the control groups ( p = 0.32). Conclusions Although the hypothesis of this study was rejected active teaching and early feedback practices are recommended within this discipline.</description><identifier>ISSN: 0022-0736</identifier><identifier>EISSN: 1532-8430</identifier><identifier>DOI: 10.1016/j.jelectrocard.2014.08.008</identifier><identifier>PMID: 25200901</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adult ; Arrhythmias, Cardiac - diagnosis ; Artificial Intelligence ; Assessment ; Cardiovascular ; Clinical Competence ; ECG ; Electrocardiography - methods ; Eye Movements - physiology ; Eye tracking ; Female ; Fixation, Ocular - physiology ; Healthcare Science ; Humans ; Male ; Pedagogy ; Reading ; Visual Perception - physiology</subject><ispartof>Journal of electrocardiology, 2014-11, Vol.47 (6), p.922-929</ispartof><rights>Elsevier Inc.</rights><rights>2014 Elsevier Inc.</rights><rights>Copyright © 2014 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c468t-862109de5d9b8061a9c26be492d16b4342aefe1542d4b963d6c8d12f7239f9443</citedby><cites>FETCH-LOGICAL-c468t-862109de5d9b8061a9c26be492d16b4342aefe1542d4b963d6c8d12f7239f9443</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jelectrocard.2014.08.008$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>315,781,785,3551,27929,27930,46000</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25200901$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Breen, Cathal J., BSc, Hons</creatorcontrib><creatorcontrib>Bond, Raymond, PhD</creatorcontrib><creatorcontrib>Finlay, Dewar, PhD</creatorcontrib><title>An evaluation of eye tracking technology in the assessment of 12 lead electrocardiography interpretation</title><title>Journal of electrocardiology</title><addtitle>J Electrocardiol</addtitle><description>Abstract Introduction This study investigated eye tracking technology for 12 lead electrocardiography interpretation to Healthcare Scientist students. Methods Participants ( n = 33) interpreted ten 12 lead ECG recordings and randomized to receive objective individual appraisal on their efforts either by traditional didactic format or by eye tracker software. Results One hundred percent of participants reported the experience positively at improving their ECG interpretation competency. ECG analysis time ranged between 13.2 and 59.5 s. The rhythm strip was the most common lead studied and fixated on for the longest duration (mean 9.9 s). Lead I was studied for the shortest duration (mean 0.25 s). Feedback using eye tracking data during ECG interpretation did not produce any significant variation between the assessment marks of the study and the control groups ( p = 0.32). Conclusions Although the hypothesis of this study was rejected active teaching and early feedback practices are recommended within this discipline.</description><subject>Adult</subject><subject>Arrhythmias, Cardiac - diagnosis</subject><subject>Artificial Intelligence</subject><subject>Assessment</subject><subject>Cardiovascular</subject><subject>Clinical Competence</subject><subject>ECG</subject><subject>Electrocardiography - methods</subject><subject>Eye Movements - physiology</subject><subject>Eye tracking</subject><subject>Female</subject><subject>Fixation, Ocular - physiology</subject><subject>Healthcare Science</subject><subject>Humans</subject><subject>Male</subject><subject>Pedagogy</subject><subject>Reading</subject><subject>Visual Perception - physiology</subject><issn>0022-0736</issn><issn>1532-8430</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkU9v1DAQxS0EokvhKyCLE5eEseP1xhyQqvJXqsSh5Ww59mTXadZebKfSfvsmbEFVT5zGh_fejH-PkHcMagZMfhjqAUe0JUVrkqs5MFFDWwO0z8iKrRtetaKB52QFwHkFm0aekVc5DwCg-Ia_JGd8zec3sBXZXQSKd2acTPEx0NhTPCItydhbH7a0oN2FOMbtkfpAyw6pyRlz3mMoi5hxOqJx9NE9Pm6TOewWQ8F0SFj-RL8mL3ozZnzzMM_Jr69fbi6_V1c_v_24vLiqrJBtqVrJGSiHa6e6FiQzynLZoVDcMdmJRnCDPbK14E50SjZO2tYx3m94o3olRHNO3p9yDyn-njAXvffZ4jiagHHKmkmu1EYKKWfpx5PUpphzwl4fkt-bdNQM9EJaD_oxab2Q1tDqmfRsfvuwZ-r26P5Z_6KdBZ9PApx_e-cx6Ww9BovOpzlSu-j_b8-nJzF29MFbM97OTeUhTinMPDXTmWvQ10vnS-VMADRMtM09hHKsAw</recordid><startdate>20141101</startdate><enddate>20141101</enddate><creator>Breen, Cathal J., BSc, Hons</creator><creator>Bond, Raymond, PhD</creator><creator>Finlay, Dewar, PhD</creator><general>Elsevier Inc</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></search><sort><creationdate>20141101</creationdate><title>An evaluation of eye tracking technology in the assessment of 12 lead electrocardiography interpretation</title><author>Breen, Cathal J., BSc, Hons ; Bond, Raymond, PhD ; Finlay, Dewar, PhD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c468t-862109de5d9b8061a9c26be492d16b4342aefe1542d4b963d6c8d12f7239f9443</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adult</topic><topic>Arrhythmias, Cardiac - diagnosis</topic><topic>Artificial Intelligence</topic><topic>Assessment</topic><topic>Cardiovascular</topic><topic>Clinical Competence</topic><topic>ECG</topic><topic>Electrocardiography - methods</topic><topic>Eye Movements - physiology</topic><topic>Eye tracking</topic><topic>Female</topic><topic>Fixation, Ocular - physiology</topic><topic>Healthcare Science</topic><topic>Humans</topic><topic>Male</topic><topic>Pedagogy</topic><topic>Reading</topic><topic>Visual Perception - physiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Breen, Cathal J., BSc, Hons</creatorcontrib><creatorcontrib>Bond, Raymond, PhD</creatorcontrib><creatorcontrib>Finlay, Dewar, PhD</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><jtitle>Journal of electrocardiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Breen, Cathal J., BSc, Hons</au><au>Bond, Raymond, PhD</au><au>Finlay, Dewar, PhD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An evaluation of eye tracking technology in the assessment of 12 lead electrocardiography interpretation</atitle><jtitle>Journal of electrocardiology</jtitle><addtitle>J Electrocardiol</addtitle><date>2014-11-01</date><risdate>2014</risdate><volume>47</volume><issue>6</issue><spage>922</spage><epage>929</epage><pages>922-929</pages><issn>0022-0736</issn><eissn>1532-8430</eissn><abstract>Abstract Introduction This study investigated eye tracking technology for 12 lead electrocardiography interpretation to Healthcare Scientist students. Methods Participants ( n = 33) interpreted ten 12 lead ECG recordings and randomized to receive objective individual appraisal on their efforts either by traditional didactic format or by eye tracker software. Results One hundred percent of participants reported the experience positively at improving their ECG interpretation competency. ECG analysis time ranged between 13.2 and 59.5 s. The rhythm strip was the most common lead studied and fixated on for the longest duration (mean 9.9 s). Lead I was studied for the shortest duration (mean 0.25 s). Feedback using eye tracking data during ECG interpretation did not produce any significant variation between the assessment marks of the study and the control groups ( p = 0.32). Conclusions Although the hypothesis of this study was rejected active teaching and early feedback practices are recommended within this discipline.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>25200901</pmid><doi>10.1016/j.jelectrocard.2014.08.008</doi><tpages>8</tpages></addata></record> |
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| subjects | Adult Arrhythmias, Cardiac - diagnosis Artificial Intelligence Assessment Cardiovascular Clinical Competence ECG Electrocardiography - methods Eye Movements - physiology Eye tracking Female Fixation, Ocular - physiology Healthcare Science Humans Male Pedagogy Reading Visual Perception - physiology |
| title | An evaluation of eye tracking technology in the assessment of 12 lead electrocardiography interpretation |
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