Breen Cathal J, Bond Raymond, Finlay Dewar
School of Health Sciences, University of Ulster, Shore Road, Newtownabbey, N. Ireland, United Kingdom.
School of Computing and Mathematics, University of Ulster, Shore Road, Newtownabbey, N. Ireland, United Kingdom.
J Electrocardiol. 2014 Nov-Dec;47(6):922-9. doi: 10.1016/j.jelectrocard.2014.08.008. Epub 2014 Aug 13.
This study investigated eye tracking technology for 12 lead electrocardiography interpretation to Healthcare Scientist students.
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.
One hundred percent of participants reported the experience positively at improving their ECG interpretation competency. ECG analysis time ranged between 13.2 and 59.5s. The rhythm strip was the most common lead studied and fixated on for the longest duration (mean 9.9s). Lead I was studied for the shortest duration (mean 0.25s). 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).
Although the hypothesis of this study was rejected active teaching and early feedback practices are recommended within this discipline.
本研究对健康科学专业的学生使用眼动追踪技术解读12导联心电图进行了调查。
参与者（n = 33）解读了十份12导联心电图记录，并随机分为两组，一组通过传统教学形式、另一组通过眼动追踪软件对其解读工作进行客观的个人评估。
100%的参与者对通过这种方式提高心电图解读能力的体验给予了积极评价。心电图分析时间在13.2秒至59.5秒之间。节律条是研究和注视时间最长的导联（平均9.9秒）。I导联的研究时间最短（平均0.25秒）。在心电图解读过程中使用眼动追踪数据进行反馈，研究组和对照组的评估分数之间没有产生任何显著差异（p = 0.32）。
尽管本研究的假设未得到证实，但建议在该学科内采用主动教学和早期反馈的做法。
