In this study we aim to determine, from body surface potential map (BSPM) data, the optimal bipolar chest electrode placement for maximum R-wave amplitude. The study data consisted of 117-lead 352-node BSPM data recorded from 229 healthy subjects. The dataset was split into a training set of 172 subjects and a testing set of the remaining 57 subjects. Optimal electrode placement was determined using a lead selection method based on the difference in R-wave amplitude across all 352 nodes for each patient. R-wave values were then extracted and used to create a median BSPM of the training data. From this median BSPM the optimal electrode placement was defined as the location of the minimum and maximum R-wave values. On the testing dataset this new optimal bipolar chest lead (R-lead) was then compared to all of the leads of the Mason-Likar 12-lead ECG and previously described bipolar chest leads, CM5, CS5, CC5 and CB5. The R-lead showed significant improvement in median R-wave amplitude over the next best lead, CM5 (2562μV vs. 2420μV, Wilcoxon sign ranked test, p< 0.001). Given the improvement in signal strength, an improvement in automated R-wave detection and R-R interval analysis from single lead ECG monitors may be achieved.
|Title of host publication||Computing in Cardiology Conference, CinC 2016|
|Publisher||IEEE Computer Society|
|Number of pages||4|
|Publication status||Published - 1 Mar 2016|
|Event||43rd Computing in Cardiology Conference, CinC 2016 - Vancouver, Canada|
Duration: 11 Sep 2016 → 14 Sep 2016
|Name||Computing in Cardiology|
|Conference||43rd Computing in Cardiology Conference, CinC 2016|
|Period||11/09/16 → 14/09/16|
Bibliographical noteFunding Information:
This work has been supported by the Northern Ireland Connected Health Innovation Centre and the PATHway project funded by the European Commission under the Horizon 2020 Programme (Call H2020-PHC-2014, Grant no. 643491)
© 2016 CCAL.
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