Title :
Automatic Detection and Imaging of Ischemic Changes During Electrocardiogram Monitoring
Author :
Zizzo, Claudio ; Hassani, Aimen ; Turner, Delphine
Author_Institution :
Anglia Ruskin Univ., Chelmsford
fDate :
3/1/2008 12:00:00 AM
Abstract :
A new electrocardiogram (ECG) monitor with automated ST analysis and display capability has been developed to assist healthcare professionals identify the site and severity of acute ischemic changes. The monitor displays the changes as a 3D image of the heart in real time. The underpinning assumption is that images are easier to interpret than ECG traces. We describe here the features of two functions of the monitor, the ischemia detection and imaging function (IF). The ischemia detection function was validated using the European ST-T database, and was found to have a sensitivity of 85% and positive predictivity of 93%. Fifty doctors took part in the evaluation of the new IF and the results showed an increase in their median proficiency to diagnose ischemia from 50% to 100% and an increase in their certainty of the diagnosis from 65% to 80%. The time to reach a diagnosis for eight ECGs, dropped from 15 to 9 min.
Keywords :
biomedical equipment; biomedical imaging; computer displays; diseases; electrocardiography; medical signal detection; patient diagnosis; signal classification; three-dimensional displays; ECG monitor; European ST-T database; automated ST analysis; automatic ischemic detection; biomedical imaging; biomedical signal processing; electrocardiogram monitoring; ischemic heart disease; ischemic imaging function; monitor displays; real time 3-D heart image; Biomedical imaging; Cardiac disease; Computerized monitoring; Detectors; Displays; Electrocardiography; Heart; Hospitals; Ischemic pain; Medical diagnostic imaging; Medical services; Postal services; Biomedical imaging; biomedical signal processing; electrocardiography; ischemic heart disease; Artificial Intelligence; Body Surface Potential Mapping; Diagnosis, Computer-Assisted; Diagnostic Imaging; Electrocardiography; Myocardial Ischemia; Pattern Recognition, Automated; Signal Processing, Computer-Assisted;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2007.909504