DocumentCode
591284
Title
Eye tracking in the assessment of electrocardiogram interpretation techniques
Author
Bond, R.R. ; Finlay, D.D. ; Breen, C. ; Boyd, Kyle ; Nugent, Chris D. ; Black, Norman D. ; Macfarlane, Peter W. ; Guldenring, D.
Author_Institution
Univ. of Ulster, Jordanstown, UK
fYear
2012
fDate
9-12 Sept. 2012
Firstpage
581
Lastpage
584
Abstract
Human observers with varying degrees of expertise interpret the 12-lead electrocardiogram (ECG) in different ways. In this work the authors investigate whether eye tracking can be used to gain an insight into how a human observer interprets the 12-lead ECG. A clinical scientist interpreted 29 ECGs whilst an eye tracking device was used to record eye movement patterns. The time dedicated to studying each lead across all 29 ECGs was recorded. The observer dedicated 26% of his time to studying the rhythm strip and only 1% of his time to studying lead aVR (t-test: p-value <; 0.01). Eye tracking has the potential to provide an insight into how an individual observer interprets an ECG.
Keywords
biomechanics; electrocardiography; eye; medical signal processing; 12-lead electrocardiogram; ECG; clinical scientist; electrocardiogram interpretation techniques; eye movement pattern recording; eye tracking device; human observer; rhythm strip; Electrocardiography; Heating; Medical diagnostic imaging; Observers; Software; Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing in Cardiology (CinC), 2012
Conference_Location
Krakow
ISSN
2325-8861
Print_ISBN
978-1-4673-2076-4
Type
conf
Filename
6420460
Link To Document