Interpretation of a 12-Lead Electrocardiogram by Medical Students: Quantitative Eye-Tracking Approach
<h3>Background</h3><p dir="ltr">Accurate interpretation of a 12-lead electrocardiogram (ECG) demands high levels of skill and expertise. Early training in medical school plays an important role in building the ECG interpretation skill. Thus, understanding how medical stud...
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| مؤلفون آخرون: | , , |
| منشور في: |
2021
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| _version_ | 1864513516665307136 |
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| author | Mohammed Tahri Sqalli (18420840) |
| author2 | Dena Al-Thani (16864245) Mohamed B Elshazly (18420843) Mohammed Al-Hijji (18519459) |
| author2_role | author author author |
| author_facet | Mohammed Tahri Sqalli (18420840) Dena Al-Thani (16864245) Mohamed B Elshazly (18420843) Mohammed Al-Hijji (18519459) |
| author_role | author |
| dc.creator.none.fl_str_mv | Mohammed Tahri Sqalli (18420840) Dena Al-Thani (16864245) Mohamed B Elshazly (18420843) Mohammed Al-Hijji (18519459) |
| dc.date.none.fl_str_mv | 2021-10-01T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.2196/26675 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Interpretation_of_a_12-Lead_Electrocardiogram_by_Medical_Students_Quantitative_Eye-Tracking_Approach/25771557 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Education Curriculum and pedagogy eye tracking electrocardiogram ECG interpretation medical education human-computer interaction medical student eye tracking interpretation ECG |
| dc.title.none.fl_str_mv | Interpretation of a 12-Lead Electrocardiogram by Medical Students: Quantitative Eye-Tracking Approach |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <h3>Background</h3><p dir="ltr">Accurate interpretation of a 12-lead electrocardiogram (ECG) demands high levels of skill and expertise. Early training in medical school plays an important role in building the ECG interpretation skill. Thus, understanding how medical students perform the task of interpretation is important for improving this skill.</p><h3>Objective</h3><p dir="ltr">We aimed to use eye tracking as a tool to research how eye fixation can be used to gain a deeper understanding of how medical students interpret ECGs.</p><h3>Methods</h3><p dir="ltr">In total, 16 medical students were recruited to interpret 10 different ECGs each. Their eye movements were recorded using an eye tracker. Fixation heatmaps of where the students looked were generated from the collected data set. Statistical analysis was conducted on the fixation count and duration using the Mann-Whitney U test and the Kruskal-Wallis test.</p><h3>Results</h3><p dir="ltr">The average percentage of correct interpretations was 55.63%, with an SD of 4.63%. After analyzing the average fixation duration, we found that medical students study the three lower leads (rhythm strips) the most using a top-down approach: lead II (mean=2727 ms, SD=456), followed by leads V1 (mean=1476 ms, SD=320) and V5 (mean=1301 ms, SD=236). We also found that medical students develop a personal system of interpretation that adapts to the nature and complexity of the diagnosis. In addition, we found that medical students consider some leads as their guiding point toward finding a hint leading to the correct interpretation.</p><h3>Conclusions</h3><p dir="ltr">The use of eye tracking successfully provides a quantitative explanation of how medical students learn to interpret a 12-lead ECG.</p><h2>Other Information</h2><p dir="ltr">Published in: JMIR Medical Education<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a></p><p dir="ltr">See article on publisher's website: <a href="https://dx.doi.org/10.2196/26675" target="_blank">https://dx.doi.org/10.2196/26675</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_66f529f04c4f4405fbd6ea5d38f09b89 |
| identifier_str_mv | 10.2196/26675 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25771557 |
| publishDate | 2021 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Interpretation of a 12-Lead Electrocardiogram by Medical Students: Quantitative Eye-Tracking ApproachMohammed Tahri Sqalli (18420840)Dena Al-Thani (16864245)Mohamed B Elshazly (18420843)Mohammed Al-Hijji (18519459)EducationCurriculum and pedagogyeye trackingelectrocardiogramECG interpretationmedical educationhuman-computer interactionmedical studenteyetrackinginterpretationECG<h3>Background</h3><p dir="ltr">Accurate interpretation of a 12-lead electrocardiogram (ECG) demands high levels of skill and expertise. Early training in medical school plays an important role in building the ECG interpretation skill. Thus, understanding how medical students perform the task of interpretation is important for improving this skill.</p><h3>Objective</h3><p dir="ltr">We aimed to use eye tracking as a tool to research how eye fixation can be used to gain a deeper understanding of how medical students interpret ECGs.</p><h3>Methods</h3><p dir="ltr">In total, 16 medical students were recruited to interpret 10 different ECGs each. Their eye movements were recorded using an eye tracker. Fixation heatmaps of where the students looked were generated from the collected data set. Statistical analysis was conducted on the fixation count and duration using the Mann-Whitney U test and the Kruskal-Wallis test.</p><h3>Results</h3><p dir="ltr">The average percentage of correct interpretations was 55.63%, with an SD of 4.63%. After analyzing the average fixation duration, we found that medical students study the three lower leads (rhythm strips) the most using a top-down approach: lead II (mean=2727 ms, SD=456), followed by leads V1 (mean=1476 ms, SD=320) and V5 (mean=1301 ms, SD=236). We also found that medical students develop a personal system of interpretation that adapts to the nature and complexity of the diagnosis. In addition, we found that medical students consider some leads as their guiding point toward finding a hint leading to the correct interpretation.</p><h3>Conclusions</h3><p dir="ltr">The use of eye tracking successfully provides a quantitative explanation of how medical students learn to interpret a 12-lead ECG.</p><h2>Other Information</h2><p dir="ltr">Published in: JMIR Medical Education<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a></p><p dir="ltr">See article on publisher's website: <a href="https://dx.doi.org/10.2196/26675" target="_blank">https://dx.doi.org/10.2196/26675</a></p>2021-10-01T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.2196/26675https://figshare.com/articles/journal_contribution/Interpretation_of_a_12-Lead_Electrocardiogram_by_Medical_Students_Quantitative_Eye-Tracking_Approach/25771557CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/257715572021-10-01T00:00:00Z |
| spellingShingle | Interpretation of a 12-Lead Electrocardiogram by Medical Students: Quantitative Eye-Tracking Approach Mohammed Tahri Sqalli (18420840) Education Curriculum and pedagogy eye tracking electrocardiogram ECG interpretation medical education human-computer interaction medical student eye tracking interpretation ECG |
| status_str | publishedVersion |
| title | Interpretation of a 12-Lead Electrocardiogram by Medical Students: Quantitative Eye-Tracking Approach |
| title_full | Interpretation of a 12-Lead Electrocardiogram by Medical Students: Quantitative Eye-Tracking Approach |
| title_fullStr | Interpretation of a 12-Lead Electrocardiogram by Medical Students: Quantitative Eye-Tracking Approach |
| title_full_unstemmed | Interpretation of a 12-Lead Electrocardiogram by Medical Students: Quantitative Eye-Tracking Approach |
| title_short | Interpretation of a 12-Lead Electrocardiogram by Medical Students: Quantitative Eye-Tracking Approach |
| title_sort | Interpretation of a 12-Lead Electrocardiogram by Medical Students: Quantitative Eye-Tracking Approach |
| topic | Education Curriculum and pedagogy eye tracking electrocardiogram ECG interpretation medical education human-computer interaction medical student eye tracking interpretation ECG |