Links

Tools

Export citation

Search in Google Scholar

Eye Tracking in the Assessment of Electrocardiogram Interpretation Techniques

This paper is available in a repository.
This paper is available in a repository.

Full text: Download

Question mark in circle
Preprint: policy unknown
Question mark in circle
Postprint: policy unknown
Question mark in circle
Published version: policy unknown

Abstract

Introduction: Human observers with varying degrees of expertise interpret the 12-lead Electrocardiogram (ECG) in different ways. Students adopt a strict protocol, whereas experts can identify abnormalities immediately. We investigate the use of eye tracking technology as a means of gaining insight into how a human observer interprets ECGs.Methods: A clinical scientist interpreted 29 ECGs (10 Acute Myocardial Infarction [AMI], 10 Ventricular Hypertrophy [VH] and 9 Left Bundle Branch Block [LBBB]), whilst an eye tracking device was used to record eye movement patterns. Results: The mean time for interpreting an ECG was 39.56 seconds (SD=11.56). No statistical significance was found between the duration of interpreting ECGs with different abnormalities - AMI ( =39.36, SD=13.49), VH ( =41.56, SD=9.67) and LBBB ( =37.56, SD=12.84). The time dedicated to looking at each lead across all 29 ECGs was determined. The subject fixated most on the rhythm strip (162 sec), followed by lead V1 (85 sec), V2 (71 sec), V6 (52 sec), V3 (50 sec), V5 (50 sec), II (37 sec), V4 (31 sec), I (26 sec), aVF (24 sec), aVL (21 sec), III (12 sec), and aVR (7 sec). Lead aVR was the least studied lead (t-test: p-value