1 code implementation • Computers in Biology and Medicine 2017 • U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, Jen Hong Tan, Muhammad Adam, ArkadiuszGertych, Ru SanTan
The CNN was trained using the augmented data and achieved an accuracy of 94. 03% and 93. 47% in the diagnostic classification of heartbeats in original and noise free ECGs, respectively.
no code implementations • Information Sciences 2017 • U Rajendra Acharya. Hamido Fujita, Hamido Fujita, Shu Lih Oh, Yuki Hagiwara, Jen Hong Tan, Muhammad Adam
In this study, we implemented a convolutional neural network (CNN) algorithm for the automated detection of a normal and MI ECG beats (with noise and without noise).