NDLI: Transformations for estimating body surface potential maps from the standard 12-lead electrocardiogram

Content Provider	IEEE Xplore Digital Library
Author	Wang, J.J. Sapp, J.L. Warren, J.W. Horacek, B.M.
Copyright Year	2012
Description	Author affiliation: Philips Healthcare, Andover, MA, USA (Wang, J.J.) \|\| Dalhousie University, Halifax, NS, Canada (Sapp, J.L.; Warren, J.W.; Horacek, B.M.)
Abstract	The aim of this study was to compare general and patient-specific transformations for estimating body surface potential maps (BSPMs) from the standard 12-lead electrocardiogram (ECG). The design set for deriving the general transformation consisted of 120-lead BSPMs of Dalhousie Superset (n = 892); as a test set for comparing patient-specific and general transformations we used 120-lead BSPMs from the Dalhousie database of patients (n = 88) who underwent elective percutaneous coronary intervention (PCI). From these two datasets we derived the desired transformations by regression analysis. The estimated BSPMs were assessed by 3 goodness-of-fit measures: similarity coefficient (SC), root-mean-square error, and relative error (RE). Results show that BSPMs can be estimated from the 12-lead ECG by using general transformation with (mean ± SD) SC (%) = 92.4 ± 3.5 and RE (%) = 42.2 ± 9.2; patient-specific transformations yielded significantly better (P < 0.0001) estimates, achieving SC (%) = 96.6 ± 4.3 and RE (%) = 22.4 ± 10.7. Thus, in conclusion, BSPMs of our particular test set could be estimated from the standard 12-lead ECG with a very good accuracy by means of general transformation. With patient-specific transformations, accuracy was further improved. In patient monitoring and some clinical interventional procedures (e.g., elective PCI, catheter ablation), a pre-procedure BSPM recording can be used to derive patient-specific lead transformation that can subsequently enhance utility of the 12-lead ECG during the procedure.
Starting Page	17
Ending Page	20
File Size	457412
Page Count	4
File Format	PDF
ISBN	9781467320764
ISSN	2325887X
e-ISBN	9781467320771
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-09
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Creative Commons Attribution License 2.5 (CCAL)
Subject Keyword	Electrocardiography Arteries Myocardium Standards Medical services Measurement uncertainty Monitoring
Content Type	Text
Resource Type	Article
Subject	Computer Science Cardiology and Cardiovascular Medicine

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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