Key result
A fast T wave detection algorithm calibrated by clinical knowledge achieved a sensitivity of 97.14% and a positive predictivity of 99.29% over 221,186 beats from validation databases.
Population
ECG signals from the QT and MIT-BIH Arrhythmia databases (total of 221,186 beats)
Authors
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May enable T-wave detection in mobile ECG devices; leaves open prospective clinical validation.
A simple, fast, and reliable T wave detection algorithm was developed and validated, achieving high sensitivity and positive predictivity, making it suitable for implementation on mobile battery-driven ECG devices.
Elgendi et al. (2015) studied Arrhythmia. Fast T wave detection algorithm was evaluated on Sensitivity and positive predictivity of T wave detection. A fast T wave detection algorithm calibrated by clinical knowledge achieved a sensitivity of 97.14% and a positive predictivity of 99.29% over 221,186 beats from validation databases.
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