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

• Main Authors: Jian, Jia-Zheng, Ger, Tzong-Rong, Lai, Han-Hua, Ku, Chi-Ming, Chen, Chiung-An, Abu, Patricia Angela R
• Format: text
• Published: Archīum Ateneo 2021
• Subjects: accuracy; convolution neural network (CNN); classifiers; electrocardiography; k-fold validation; myocardial infarction; sensitivity; Cardiology; Computer Engineering; Computer Sciences; Medicine and Health Sciences
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/218; https://archium.ateneo.edu/cgi/viewcontent.cgi?article=1216&context=discs-faculty-pubs
• Institution: Ateneo De Manila University

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...