New hybrid deep learning approach using BiGRU-BiLSTM and multilayered dilated CNN to detect arrhythmia
Published in IEEE Access, 2022
Deep learning methods have shown early progress in analyzing complicated ECG signals, especially in heartbeat classification and arrhythmia detection. However, there is still a long way to go in terms of health-related data analysis.
Recommended citation: Islam, M. S., Islam, M. N., Hashim, N., Rashid, M., Bari, B. S., & Al Farid, F. (2022). New hybrid deep learning approach using BiGRU-BiLSTM and multilayered dilated CNN to detect arrhythmia. IEEE Access, 10, 58081-58096.
Download Paper | Download Slides