U Rajendra (Raj) Acharya  PhD, DEng, DSc
U Rajendra (Raj) Acharya PhD, DEng, DSc
Ngee Ann, Singapore University of Social Science, University of Malaya, Malaysia
Verified email at np.edu.sg - Homepage
Cited by
Cited by
Heart rate variability: a review
UR Acharya, KP Joseph, N Kannathal, CM Lim, JS Suri
Medical and biological engineering and computing 44 (12), 1031-1051, 2006
Entropies for detection of epilepsy in EEG
N Kannathal, ML Choo, UR Acharya, PK Sadasivan
Computer methods and programs in biomedicine 80 (3), 187-194, 2005
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
Automated diagnosis of epileptic EEG using entropies
UR Acharya, F Molinari, SV Sree, S Chattopadhyay, KH Ng, JS Suri
Biomedical Signal Processing and Control 7 (4), 401-408, 2012
Automated EEG analysis of epilepsy: a review
UR Acharya, SV Sree, G Swapna, RJ Martis, JS Suri
Knowledge-Based Systems 45, 147-165, 2013
ECG beat classification using PCA, LDA, ICA and discrete wavelet transform
RJ Martis, UR Acharya, LC Min
Biomedical Signal Processing and Control 8 (5), 437-448, 2013
Advances in cardiac signal processing
UR Acharya, SM Krishnan, JAE Spaan, JS Suri
springer, 2007
Non-linear analysis of EEG signals at various sleep stages
R Acharya, O Faust, N Kannathal, TL Chua, S Laxminarayan
Computer methods and programs in biomedicine 80 (1), 37-45, 2005
EEG signal analysis: a survey
DP Subha, PK Joseph, R Acharya, CM Lim
Journal of medical systems 34 (2), 195-212, 2010
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
Wavelet-based EEG processing for computer-aided seizure detection and epilepsy diagnosis
O Faust, UR Acharya, H Adeli, A Adeli
Seizure 26, 56-64, 2015
Medical image segmentation: a brief survey
A Elnakib, G Gimel’farb, JS Suri, A El-Baz
Multi Modality State-of-the-Art Medical Image Segmentation and Registration …, 2011
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
Classification of heart rate data using artificial neural network and fuzzy equivalence relation
UR Acharya, PS Bhat, SS Iyengar, A Rao, S Dua
Pattern recognition 36 (1), 61-68, 2003
Computer-aided diagnosis of diabetic retinopathy: A review
MRK Mookiah, UR Acharya, CK Chua, CM Lim, EYK Ng, A Laude
Computers in biology and medicine 43 (12), 2136-2155, 2013
Automated diagnosis of glaucoma using texture and higher order spectra features
UR Acharya, S Dua, X Du, CK Chua
IEEE Transactions on information technology in biomedicine 15 (3), 449-455, 2011
Application of non-linear and wavelet based features for the automated identification of epileptic EEG signals
UR Acharya, SV Sree, PCA Ang, R Yanti, JS Suri
International journal of neural systems 22 (02), 1250002, 2012
Algorithms for the automated detection of diabetic retinopathy using digital fundus images: a review
O Faust, R Acharya, EYK Ng, KH Ng, JS Suri
Journal of medical systems 36 (1), 145-157, 2012
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