Eye Tracking in the Assessment of Electrocardiogram Interpretation Techniques

Raymond R. Bond, Dewar D. Finlay, Cathal, J Breen, Kyle Boyd, Chris D Nugent, Norman Black, Peter Mcfarlane, Daniel Guldenring

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

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 <0.01). More time was given to studying the precordial leads compared to the limb leads (t-test: p-value=0.002). From visual analysis of the recorded data, it was possible to identify that the observer did use a systematic approach to interpretation. For e.g., in the majority of cases the rhythm strip was initially studied, even when prominent features such as ST segment elevation were present in a number of other leads.Conclusion: Eye tracking can be used to gain insight into how observers interpret the ECG. This could be used for training purposes to provide tailored and objective feedback on an individual’s ECG interpretation technique.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages581-584
Number of pages4
Publication statusPublished - 1 Dec 2012
EventInternational Conference of Computers in Cardiology - China
Duration: 1 Dec 2012 → …

Conference

ConferenceInternational Conference of Computers in Cardiology
Period1/12/12 → …

Fingerprint

Electrocardiography
Bundle-Branch Block
Hypertrophy
Myocardial Infarction
Eye Movements
Extremities
Lead
Students
Technology
Equipment and Supplies

Cite this

Bond, R. R., Finlay, D. D., Breen, C. J., Boyd, K., Nugent, C. D., Black, N., ... Guldenring, D. (2012). Eye Tracking in the Assessment of Electrocardiogram Interpretation Techniques. In Unknown Host Publication (pp. 581-584)
Bond, Raymond R. ; Finlay, Dewar D. ; Breen, Cathal, J ; Boyd, Kyle ; Nugent, Chris D ; Black, Norman ; Mcfarlane, Peter ; Guldenring, Daniel. / Eye Tracking in the Assessment of Electrocardiogram Interpretation Techniques. Unknown Host Publication. 2012. pp. 581-584
@inproceedings{6ae6da9b06b44b389c6d99e5e71c2cd5,
title = "Eye Tracking in the Assessment of Electrocardiogram Interpretation Techniques",
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 <0.01). More time was given to studying the precordial leads compared to the limb leads (t-test: p-value=0.002). From visual analysis of the recorded data, it was possible to identify that the observer did use a systematic approach to interpretation. For e.g., in the majority of cases the rhythm strip was initially studied, even when prominent features such as ST segment elevation were present in a number of other leads.Conclusion: Eye tracking can be used to gain insight into how observers interpret the ECG. This could be used for training purposes to provide tailored and objective feedback on an individual’s ECG interpretation technique.",
author = "Bond, {Raymond R.} and Finlay, {Dewar D.} and Breen, {Cathal, J} and Kyle Boyd and Nugent, {Chris D} and Norman Black and Peter Mcfarlane and Daniel Guldenring",
year = "2012",
month = "12",
day = "1",
language = "English",
pages = "581--584",
booktitle = "Unknown Host Publication",

}

Bond, RR, Finlay, DD, Breen, CJ, Boyd, K, Nugent, CD, Black, N, Mcfarlane, P & Guldenring, D 2012, Eye Tracking in the Assessment of Electrocardiogram Interpretation Techniques. in Unknown Host Publication. pp. 581-584, International Conference of Computers in Cardiology, 1/12/12.

Eye Tracking in the Assessment of Electrocardiogram Interpretation Techniques. / Bond, Raymond R.; Finlay, Dewar D.; Breen, Cathal, J; Boyd, Kyle; Nugent, Chris D; Black, Norman; Mcfarlane, Peter; Guldenring, Daniel.

Unknown Host Publication. 2012. p. 581-584.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Eye Tracking in the Assessment of Electrocardiogram Interpretation Techniques

AU - Bond, Raymond R.

AU - Finlay, Dewar D.

AU - Breen, Cathal, J

AU - Boyd, Kyle

AU - Nugent, Chris D

AU - Black, Norman

AU - Mcfarlane, Peter

AU - Guldenring, Daniel

PY - 2012/12/1

Y1 - 2012/12/1

N2 - 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 <0.01). More time was given to studying the precordial leads compared to the limb leads (t-test: p-value=0.002). From visual analysis of the recorded data, it was possible to identify that the observer did use a systematic approach to interpretation. For e.g., in the majority of cases the rhythm strip was initially studied, even when prominent features such as ST segment elevation were present in a number of other leads.Conclusion: Eye tracking can be used to gain insight into how observers interpret the ECG. This could be used for training purposes to provide tailored and objective feedback on an individual’s ECG interpretation technique.

AB - 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 <0.01). More time was given to studying the precordial leads compared to the limb leads (t-test: p-value=0.002). From visual analysis of the recorded data, it was possible to identify that the observer did use a systematic approach to interpretation. For e.g., in the majority of cases the rhythm strip was initially studied, even when prominent features such as ST segment elevation were present in a number of other leads.Conclusion: Eye tracking can be used to gain insight into how observers interpret the ECG. This could be used for training purposes to provide tailored and objective feedback on an individual’s ECG interpretation technique.

M3 - Conference contribution

SP - 581

EP - 584

BT - Unknown Host Publication

ER -