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
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
Automated EEG analysis of epilepsy: a review
UR Acharya, SV Sree, G Swapna, RJ Martis, JS Suri
Knowledge-Based Systems 45, 147-165, 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
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
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
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
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
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
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
Thermography based breast cancer detection using texture features and support vector machine
UR Acharya, EYK Ng, JH Tan, SV Sree
Journal of medical systems 36 (3), 1503-1510, 2012
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