|Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals|
UR Acharya, SL Oh, Y Hagiwara, JH Tan, H Adeli
Computers in biology and medicine 100, 270-278, 2018
|A deep convolutional neural network model to classify heartbeats|
UR Acharya, SL Oh, Y Hagiwara, JH Tan, M Adam, A Gertych, R San Tan
Computers in biology and medicine 89, 389-396, 2017
|Deep learning for healthcare applications based on physiological signals: A review|
O Faust, Y Hagiwara, TJ Hong, OS Lih, UR Acharya
Computer methods and programs in biomedicine 161, 1-13, 2018
|Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals|
UR Acharya, H Fujita, SL Oh, Y Hagiwara, JH Tan, M Adam
Information Sciences 415, 190-198, 2017
|Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network|
UR Acharya, H Fujita, OS Lih, Y Hagiwara, JH Tan, M Adam
Information sciences 405, 81-90, 2017
|Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats|
SL Oh, EYK Ng, R San Tan, UR Acharya
Computers in biology and medicine 102, 278-287, 2018
|A deep learning approach for Parkinson’s disease diagnosis from EEG signals|
SL Oh, Y Hagiwara, U Raghavendra, R Yuvaraj, N Arunkumar, ...
Neural Computing and Applications 32 (15), 10927-10933, 2020
|Automated EEG-based screening of depression using deep convolutional neural network|
UR Acharya, SL Oh, Y Hagiwara, JH Tan, H Adeli, DP Subha
Computer methods and programs in biomedicine 161, 103-113, 2018
|Automated detection of coronary artery disease using different durations of ECG segments with convolutional neural network|
UR Acharya, H Fujita, OS Lih, M Adam, JH Tan, CK Chua
Knowledge-Based Systems 132, 62-71, 2017
|Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals|
JH Tan, Y Hagiwara, W Pang, I Lim, SL Oh, M Adam, R San Tan, M Chen, ...
Computers in biology and medicine 94, 19-26, 2018
|Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network|
UR Acharya, H Fujita, SL Oh, U Raghavendra, JH Tan, M Adam, ...
Future Generation Computer Systems 79, 952-959, 2018
|Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals|
UR Acharya, H Fujita, SL Oh, Y Hagiwara, JH Tan, M Adam, RS Tan
Applied Intelligence 49 (1), 16-27, 2019
|Characterization of focal EEG signals: a review|
UR Acharya, Y Hagiwara, SN Deshpande, S Suren, JEW Koh, SL Oh, ...
Future Generation Computer Systems 91, 290-299, 2019
|Automated detection and localization of myocardial infarction using electrocardiogram: a comparative study of different leads|
UR Acharya, H Fujita, VK Sudarshan, SL Oh, M Adam, JEW Koh, JH Tan, ...
Knowledge-Based Systems 99, 146-156, 2016
|Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study|
UR Acharya, H Fujita, M Adam, OS Lih, VK Sudarshan, TJ Hong, ...
Information Sciences 377, 17-29, 2017
|Deep convolutional neural network model for automated diagnosis of schizophrenia using EEG signals|
SL Oh, J Vicnesh, EJ Ciaccio, R Yuvaraj, UR Acharya
Applied Sciences 9 (14), 2870, 2019
|Computer-aided diagnosis of atrial fibrillation based on ECG signals: A review|
Y Hagiwara, H Fujita, SL Oh, JH Tan, R San Tan, EJ Ciaccio, UR Acharya
Information Sciences 467, 99-114, 2018
|Automated detection of schizophrenia using nonlinear signal processing methods|
V Jahmunah, SL Oh, V Rajinikanth, EJ Ciaccio, KH Cheong, N Arunkumar, ...
Artificial intelligence in medicine 100, 101698, 2019
|Application of higher-order spectra for the characterization of coronary artery disease using electrocardiogram signals|
UR Acharya, VK Sudarshan, JEW Koh, RJ Martis, JH Tan, SL Oh, ...
Biomedical Signal Processing and Control 31, 31-43, 2017
|Comprehensive electrocardiographic diagnosis based on deep learning|
OS Lih, V Jahmunah, TR San, EJ Ciaccio, T Yamakawa, M Tanabe, ...
Artificial intelligence in medicine 103, 101789, 2020