Coefficients for the Derivation of an ST Sensitive Patch Based Lead System from the 12 Lead Electrocardiogram
- There are limited datasets available to facilitate the evaluation of patch-based lead systems, so the leads must be derived from existing data, mainly the 12-lead ECG. We have previously introduced a short spaced lead (SSL) system consisting of two leads with the largest ST segment changes during ischaemic-type episodes. In this study, we aim to evaluate the derivation of this patch-based lead system from the 12-lead ECG. Method: Thoracic body surface potential maps (BSPM) were recorded from n=734 patients. Using Laplacian interpolation, each recording was expanded to the 352-node Dalhousie torso. The eight independent channels of the 12-lead ECG were extracted (I, II, V1-V6) with the two leads of the SSL patch Coefficients were derived using linear regression from the 12-lead ECG to the SSL patch. Results: The median Pearson correlation coefficients (CC) and root mean square error (RMSE) for each lead were calculated as follows (CC/RMSE): 0.986/74.3 µV (ST monitoring lead); 0.976/65.3 µV (spatially orthogonalThere are limited datasets available to facilitate the evaluation of patch-based lead systems, so the leads must be derived from existing data, mainly the 12-lead ECG. We have previously introduced a short spaced lead (SSL) system consisting of two leads with the largest ST segment changes during ischaemic-type episodes. In this study, we aim to evaluate the derivation of this patch-based lead system from the 12-lead ECG. Method: Thoracic body surface potential maps (BSPM) were recorded from n=734 patients. Using Laplacian interpolation, each recording was expanded to the 352-node Dalhousie torso. The eight independent channels of the 12-lead ECG were extracted (I, II, V1-V6) with the two leads of the SSL patch Coefficients were derived using linear regression from the 12-lead ECG to the SSL patch. Results: The median Pearson correlation coefficients (CC) and root mean square error (RMSE) for each lead were calculated as follows (CC/RMSE): 0.986/74.3 µV (ST monitoring lead); 0.976/65.3 µV (spatially orthogonal lead). Conclusion: We have developed coefficients that allow the derivation of a patch-based lead system from the 12-lead ECG. Given the high correlation, it is possible to generate short spaced lead systems from existing diagnostic lead systems, however, amplitude errors are introduced in the process.…
Author: | Daniel GüldenringORCiD, Michael R. Jennings, Ali S Rababah, James D. McLaughlinORCiD, Dewar D. FinlayORCiD |
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DOI: | https://doi.org/10.23919/CinC53138.2021.9662649 |
Identifier: | 978-1-6654-7916-5 OPAC HS OPAC extern |
Identifier: | 2325-887X OPAC HS OPAC extern |
Parent Title (English): | 2021 Computing in Cardiology (CinC) |
Publisher: | IEEE |
Place of publication: | New York |
Document Type: | conference proceeding (article) |
Conference: | Computing in Cardiology, 48, 2021, Brno, Czech Republic |
Language: | English |
Year of first Publication: | 2022 |
Tag: | Computergestützte Elektrokardiographie |
GND Keyword: | Elektrokardiogramm, Biomedizinische Signalverarbeitung, ECG, EKG |
Volume: | 48 |
Number of pages: | 4 Seiten |
First Page: | 1 |
Last Page: | 4 |
Institutes: | Fakultät Elektrotechnik |
Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke |
6 Technik, Medizin, angewandte Wissenschaften | |
Research focus: | Eigenständige Forschungsfelder |
Publication Lists: | Güldenring, Daniel |
Publication reviewed: | begutachtet |
Release Date: | 2022/03/14 |