In this paper, the deep learning architecture with high accuracy and popularity has been proposed in recent years for the classification of Normal Sinus Rhythm, (NSR) Abnormal Arrhythmia (ARR) and Congestive Heart Failure (CHF) ECG signals. The proposed architecture is based on Hybrid Alexnet-SVM...
As seen in an ecg, no detectable p waves and irregular r-r intervals represents. meaning? A doctor has provided 1 answer A member asked: Would high calcium show up on an ecg? if so which wave would be abnormal? A doctor has provided 1 answer ...
reentrant AT exhibited a larger area of AAPs at its periphery than the scar that did not participate in localized-reentrant AT (3.1 [2.4–4.5] versus 1.0 [0.7–1.6] cm2;P<0.001).#AAPs recorded during sinus rhythm/atrial pacing are associated with areas of slow conduction during reentrant ...
Spectral analysis during sinus rhythm predicts an ab- normal atrial substrate in patients with paroxysmal atrial fibrillation. Heart Rhythm. Jul 2008;5(7):968 - 974.Lin YJ, Kao T, Tai CT, Chang SL, Lo LW, Tuan TC, Udyavar AR, Hu YF, Tso HW, Higa S, Chen SA: Spectral analysis ...
Regarding deep learning algorithms, the most frequently used for the detection of ECG signal anomalies is long short-term memory (LSTM) [25]. Convolutional neural networks (CNNs) [25,26,27,28,29] can also be used after the conversion of the signal into a spectrogram image using wavelet tra...
Regarding deep learning algorithms, the most frequently used for the detection of ECG signal anomalies is long short-term memory (LSTM) [25]. Convolutional neural networks (CNNs) [25,26,27,28,29] can also be used after the conversion of the signal into a spectrogram image using wavelet tra...