Multichannel Multiscale Two-Stage Convolutional Neural Network for the Detection and Localization of Myocardial Infarction Using Vectorcardiogram Signal

• Published in: Applied sciences Vol. 11; no. 17; p. 7920
• Main Authors: Karhade, Jay, Ghosh, Samit Kumar, Gajbhiye, Pranjali, Tripathy, Rajesh Kumar, Acharya, U. Rajendra
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.09.2021
• Subjects: accuracy; Automation; Decomposition; deep CNN; Deep learning; Discriminant analysis; Disease; Heart attacks; Localization; Morphology; multivariate VMD; myocardial infarction; Neural networks; Pathology; Principal components analysis; Signal processing; vectorcardiogram; Wavelet transforms

Myocardial infarction (MI) occurs due to the decrease in the blood flow into one part of the heart, and it further causes damage to the heart muscle. The 12-channel electrocardiogram (ECG) has been widely used to detect and localize MI pathology in clinical studies. The vectorcardiogram (VCG) is a 3...