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医学生对12导联心电图的解读:定量眼动追踪方法

Interpretation of a 12-Lead Electrocardiogram by Medical Students: Quantitative Eye-Tracking Approach.

作者信息

Tahri Sqalli Mohammed, Al-Thani Dena, Elshazly Mohamed B, Al-Hijji Mohammed

机构信息

Information and Computing Technology Division, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.

Weill Cornell Medical College, Cornell University, Doha, Qatar.

出版信息

JMIR Med Educ. 2021 Oct 14;7(4):e26675. doi: 10.2196/26675.

Abstract

BACKGROUND

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.

OBJECTIVE

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

The use of eye tracking successfully provides a quantitative explanation of how medical students learn to interpret a 12-lead ECG.

摘要

背景

准确解读12导联心电图(ECG)需要高水平的技能和专业知识。医学院的早期培训在培养心电图解读技能方面起着重要作用。因此,了解医学生如何执行解读任务对于提高这项技能很重要。

目的

我们旨在使用眼动追踪作为一种工具,研究如何利用眼注视来更深入地了解医学生如何解读心电图。

方法

总共招募了16名医学生,每人解读10种不同的心电图。使用眼动仪记录他们的眼动。从收集的数据集中生成学生注视位置的注视热图。使用曼-惠特尼U检验和克鲁斯卡尔-沃利斯检验对注视次数和持续时间进行统计分析。

结果

正确解读的平均百分比为55.63%,标准差为4.63%。在分析平均注视持续时间后,我们发现医学生采用自上而下的方法,对三个下导联(节律条图)研究最多:导联II(平均值=2727毫秒,标准差=456),其次是导联V1(平均值=1476毫秒,标准差=320)和V5(平均值=1301毫秒,标准差=236)。我们还发现医学生形成了一种个人解读系统,该系统适应诊断的性质和复杂性。此外,我们发现医学生将某些导联视为找到导致正确解读线索的指导点。

结论

眼动追踪的使用成功地为医学生如何学习解读12导联心电图提供了定量解释。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0451/8554676/0c46f1260131/mededu_v7i4e26675_fig1.jpg

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