Inter-Patient Congestive Heart Failure Detection Using ECG-Convolution-Vision Transformer Network

Inter-Patient Congestive Heart Failure Detection Using ECG-Convolution-Vision Transformer Network

An attack of congestive heart failure (CHF) can cause symptoms such as difficulty breathing, dizziness, or fatigue, which can be life-threatening in severe cases. An electrocardiogram (ECG) is a simple and economical method for diagnosing CHF. Due to the inherent complexity of ECGs and the subtle di...

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Bibliographic Details
Main Authors: Huang, J. (Author), Liu, T. (Author), Si, Y. (Author), Yang, W. (Author), Yu, Y. (Author), Zhang, G. (Author), Zhou, R. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Cardiology
Congestive heart failure
congestive heart failure (CHF)
Congestive heart failures
Convolution
Convolutional neural network
Convolutional Neural Network (CNN)
Convolutional neural networks
Economical methods
Electrocardiogram
electrocardiogram (ECG)
Electrocardiography
Failure detection
inter-patient scheme
Inter-patient scheme
SIMPLE method
Vision transformer
Vision Transformer
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