Finlay, Dewar D., Bond, Raymond R., Kennedy, Alan, Guldenring, Daniel, Moran, Kieran ORCID: 0000-0003-2015-8967 and McLaughlin, James (2015) The effects of electrode placement on an automated algorithm for the detection of ST segment changes on the 12-lead ECG. In: Computing in Cardiology Conference (CinC) 2015, 6-9 Sept. 2015, Nice, France. ISBN 978-1-5090-0685-4
Abstract
In this study we investigate the effect that ECG electrode placement can have on the detection of ST segment changes. BSPMs from 45 subjects undergoing PTCA were analysed (15 left anterior descending, 15 left circumflex and 15 right coronary artery). 12-lead ECG were extracted from BSPMs corresponding with correct precordial electrode positioning and corresponding with simultaneous vertical movement of all of the precordial leads in 5mm increments up to +/-50mm away from the correct position. A computer algorithm was developed based on current guidelines for the detection of STEMI and Non-STEMI. This algorithm was applied to all of the extracted 12-lead ECGs. Median sensitivity and specificity, based upon all baseline versus all peak balloon inflation cases, were calculated for results generated at each electrode position. With the precordial leads positioned correctly the sensitivity and specificity were 51.1% and 91.1% respectively. When all precordial leads were placed 50mm superior to their correct position the sensitivity increased to 57.8% whilst specificity remained unchanged. At 50mm inferior to the correct position the sensitivity and specificity were 46.7% and 88.9% respectively. The results show a variation of more than 10% in sensitivity when the electrodes are moved up to 100mm vertically.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | Biomedical electrodes; Electrocardiography; Medical signal detection |
Subjects: | UNSPECIFIED |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Science and Health > School of Health and Human Performance Research Institutes and Centres > INSIGHT Centre for Data Analytics |
Publisher: | IEEE |
Copyright Information: | © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
ID Code: | 21151 |
Deposited On: | 22 Jun 2016 10:38 by Kieran Moran . Last Modified 26 May 2022 13:26 |
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