Contemplate on ECG signals and classification of arrhythmia signals using CNN-LSTM deep learning model

Contemplate on ECG signals and classification of arrhythmia signals using CNN-LSTM deep learning model

An electrocardiogram (ECG) is a schematic illustration of heart signals that is being used to measure the electric signals of the heart and to detect any abnormalities. Due to non-invasive qualities, the Electrocardiogram (ECG) has become a commonly employed auxiliary diagnostic index for heart prob...

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Bibliographic Details
Main Authors: S. Sowmya, Deepa Jose
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Measurement: Sensors
Subjects:
Arrhythmia detection
Machine learning
Convolutional Neural Networks (CNN)
Long Short-Term Memory (LSTM)
Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH)
Online Access:http://www.sciencedirect.com/science/article/pii/S2665917422001921

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http://www.sciencedirect.com/science/article/pii/S2665917422001921

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