Bortolotti Alessandro, Ricci Fabrizio, Cieri Carmelita, Cocco Federica, Martini Chiara, Panunzi Marcello, Rossi Davide, Sorella Anna, Saraullo Silvio, Scordo Davide, Renda Giulia, Gallina Sabina, Palumbo Riccardo
Department of Neuroscience, Imaging and Clinical Sciences, G. D'annunzio University of Chieti-Pescara, Chieti, Italy.
University Cardiology Division, Heart Department, Policlinico SS. Annunziata, Chieti, Italy.
Ann Noninvasive Electrocardiol. 2025 May;30(3):e70082. doi: 10.1111/anec.70082.
Visual expertise is pivotal for accurate ECG interpretation. We aimed to identify and measure expertise-based differences in visual search patterns, cognitive load, and diagnostic accuracy during ECG analysis using eye-tracking technology.
First- to third-year residents and board-certified expert cardiologists interpreted ECGs of patients with suspected acute coronary syndrome, while eye-tracking glasses recorded fixation count, duration, and pupil dilation. Diagnostic accuracy and cognitive load via NASA Task Load Index were analyzed. Heatmaps illustrated relationships between cognitive load, perceived workload, and self-assessed performance across experience levels and ECG task complexities.
Expert readers interpreted ECGs significantly faster than residents (107.6 ± 32.8 vs. 205.31 ± 57.43 s; p < 0.001) and demonstrated higher diagnostic accuracy across all levels of task difficulty (p < 0.001). Eye-tracking analysis revealed that experts exhibited fewer fixations (67.7 ± 25.7 vs. 143.7 ± 29.9; p < 0.001) and longer fixation durations (3.9 ± 0.7 vs. 3.2 ± 1 s; p = 0.032) than residents. Experts also showed lower pupil dilation changes (4.8% ± 2% vs. 10.5% ± 4.2%; p = 0.015). Increased task difficulty was associated with greater pupil dilation, particularly among novices (mean pupil dilation for difficult tasks 13.4% ± 4.1% vs. 7.3% ± 2.3% for easy tasks; p = 0.008), indicating higher cognitive demand. Experts maintained superior self-assessed performance (8 ± 0 vs. 7 ± 1.2; p = 0.009) and reported lower perceived negative workload (4.5 ± 1.45 vs. 6 ± 0.55; p = 0.041).
In this pilot study, expert readers achieved faster and more accurate diagnoses, exhibiting more efficient visual search patterns and lower cognitive load. Pending external validation, our findings suggest that ECG training programs should focus on developing targeted visual techniques, cognitive efficiency, and adaptive coping strategies to enhance accurate interpretation.
视觉专业知识对于准确解读心电图至关重要。我们旨在利用眼动追踪技术识别并测量心电图分析过程中基于专业知识的视觉搜索模式、认知负荷及诊断准确性的差异。
一至三年级住院医师及获得委员会认证的专家级心脏病专家解读疑似急性冠状动脉综合征患者的心电图,同时眼动追踪眼镜记录注视次数、持续时间及瞳孔扩张情况。分析通过美国国家航空航天局任务负荷指数得出的诊断准确性及认知负荷。热图展示了不同经验水平和心电图任务复杂度下认知负荷、感知工作量及自我评估表现之间的关系。
专家读者解读心电图的速度明显快于住院医师(107.6 ± 32.8秒对205.31 ± 57.43秒;p < 0.001),且在所有任务难度水平下均表现出更高的诊断准确性(p < 0.001)。眼动追踪分析显示,专家的注视次数少于住院医师(67.7 ± 25.7次对143.7 ± 29.9次;p < 0.001),注视持续时间更长(3.9 ± 0.7秒对3.2 ± 1秒;p = 0.032)。专家的瞳孔扩张变化也较小(4.8% ± 2%对10.5% ± 4.2%;p = 0.015)。任务难度增加与更大的瞳孔扩张相关,尤其是在新手当中(困难任务的平均瞳孔扩张为13.4% ± 4.1%,而简单任务为7.3% ± 2.3%;p = 0.008),表明认知需求更高。专家保持了更优的自我评估表现(8 ± 0对7 ± 1.2;p = 0.009),且报告的感知负面工作量更低(4.5 ± 1.45对6 ± 0.55;p = 0.041)。
在这项初步研究中,专家读者实现了更快、更准确的诊断,表现出更高效的视觉搜索模式和更低的认知负荷。在进行外部验证之前,我们的研究结果表明,心电图培训项目应专注于培养有针对性的视觉技术、认知效率及适应性应对策略,以提高准确解读能力。