Key result
A new mathematical model for T-wave peak and end detection achieved average sensitivity and positive predictivity of 99.12% in paced ECGs from ICM patients and >99.3% in the QT database.
Why the study?
Does the proposed mathematical model-based approach accurately detect T-wave peaks and end locations in 12-lead paced ECG signals?
Population
High resolution 12-lead paced ECG signals from patients with ischaemic cardiomyopathy in the University…
Authors
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High-accuracy T-wave detection supports paced ECG analysis in ICM; leaves open prospective validation before clinical adoption.
Does the proposed mathematical model-based approach accurately detect T-wave peaks and end locations in 12-lead paced ECG signals?
The proposed mathematical model-based approach demonstrates high accuracy and robustness for T-wave peak and end detection in paced ECG signals.
Madeiro et al. (2012) studied Ischaemic cardiomyopathy. Mathematical model of a skewed Gaussian function for T-wave detection was evaluated on T-wave detection rates (sensitivity and positive predictivity). A new mathematical model for T-wave peak and end detection achieved average sensitivity and positive predictivity of 99.12% in paced ECGs from ICM patients and >99.3% in the QT database.
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