Detection of Myocardial Infarction Using ECG and Multi-Scale Feature Concatenate

Detection of Myocardial Infarction Using ECG and Multi-Scale Feature Concatenate

Diverse computer-aided diagnosis systems based on convolutional neural networks were applied to automate the detection of myocardial infarction (MI) found in electrocardiogram (ECG) for early diagnosis and prevention. However, issues, particularly overfitting and underfitting, were not being taken i...

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Bibliographic Details
Main Authors: Jia-Zheng Jian, Tzong-Rong Ger, Han-Hua Lai, Chi-Ming Ku, Chiung-An Chen, Patricia Angela R. Abu, Shih-Lun Chen
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
accuracy
convolution neural network (CNN)
classifiers
electrocardiography
k-fold validation
myocardial infarction
Online Access:https://www.mdpi.com/1424-8220/21/5/1906

Internet

https://www.mdpi.com/1424-8220/21/5/1906

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