Beat-to-Beat Electrocardiogram Waveform Classification Based on a Stacked Convolutional and Bidirectional Long Short-Term Memory

Beat-to-Beat Electrocardiogram Waveform Classification Based on a Stacked Convolutional and Bidirectional Long Short-Term Memory

Delineating the electrocardiogram (ECG) waveform is an important step with high significance in cardiology diagnosis. It refers to extract the ECG morphology in start, peak, end points of waveform. Due to various shapes and abnormalities presented in ECG signals, several conventional computer algori...

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Bibliographic Details
Main Authors: Siti Nurmaini, Annisa Darmawahyuni, Muhammad Naufal Rachmatullah, Jannes Effendi, Ade Iriani Sapitri, Firdaus Firdaus, Bambang Tutuko
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
ECG delineation
stacked convolutional layers
bidirectional LSTM
waveform classification
Online Access:https://ieeexplore.ieee.org/document/9466128/

Internet

https://ieeexplore.ieee.org/document/9466128/

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