EEG based multi-class seizure type classification using convolutional neural network and transfer learning S Raghu, N Sriraam, Y Temel, SV Rao, PL Kubben Neural Networks 124, 202-212, 2020 | 304 | 2020 |
Classification of focal and non-focal EEG signals using neighborhood component analysis and machine learning algorithms S Raghu, N Sriraam Expert Systems with Applications 113, 18-32, 2018 | 201 | 2018 |
Performance evaluation of DWT based sigmoid entropy in time and frequency domains for automated detection of epileptic seizures using SVM classifier S Raghu, N Sriraam, Y Temel, SV Rao, AS Hegde, PL Kubben Computers in biology and medicine 110, 127-143, 2019 | 107 | 2019 |
A novel approach for classification of epileptic seizures using matrix determinant S Raghu, N Sriraam, AS Hegde, PL Kubben Expert Systems with Applications 127, 323-341, 2019 | 106 | 2019 |
Optimal configuration of multilayer perceptron neural network classifier for recognition of intracranial epileptic seizures S Raghu, N Sriraam Expert Systems with Applications 89, 205-221, 2017 | 98 | 2017 |
Classification of focal and non focal epileptic seizures using multi-features and SVM classifier N Sriraam, S Raghu Journal of medical systems 41 (10), 160, 2017 | 89 | 2017 |
Classification of epileptic seizures using wavelet packet log energy and norm entropies with recurrent Elman neural network classifier S Raghu, N Sriraam, GP Kumar Cognitive neurodynamics 11, 51-66, 2017 | 87 | 2017 |
A novel approach for real-time recognition of epileptic seizures using minimum variance modified fuzzy entropy S Raghu, N Sriraam, GP Kumar, AS Hegde IEEE Transactions on Biomedical Engineering 65 (11), 2612-2621, 2018 | 63 | 2018 |
Automated detection of epileptic seizures using successive decomposition index and support vector machine classifier in long-term EEG S Raghu, N Sriraam, S Vasudeva Rao, AS Hegde, PL Kubben Neural Computing and Applications 32, 8965-8984, 2020 | 51 | 2020 |
Automated epileptic seizures detection using multi-features and multilayer perceptron neural network N Sriraam, S Raghu, K Tamanna, L Narayan, M Khanum, AS Hegde, ... Brain informatics 5 (2), 10, 2018 | 37 | 2018 |
A convolutional neural network based framework for classification of seizure types S Raghu, N Sriraam, Y Temel, SV Rao, PL Kubben 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 34 | 2019 |
Effect of wavelet packet log energy entropy on electroencephalogram (EEG) signals S Raghu, N Sriraam, GP Kumar International Journal of Biomedical and Clinical Engineering (IJBCE) 4 (1 …, 2015 | 22 | 2015 |
Cross-database evaluation of EEG based epileptic seizures detection driven by adaptive median feature baseline correction S Raghu, N Sriraam, ED Gommer, DMW Hilkman, Y Temel, SV Rao, ... Clinical Neurophysiology 131 (7), 1567-1578, 2020 | 19 | 2020 |
Multichannel EEG based inter-ictal seizures detection using Teager energy with backpropagation neural network classifier N Sriraam, K Tamanna, L Narayan, M Khanum, S Raghu, AS Hegde, ... Australasian physical & engineering sciences in medicine 41 (4), 1047-1055, 2018 | 12 | 2018 |
Complexity analysis and dynamic characteristics of EEG using MODWT based entropies for identification of seizure onset S Raghu, N Sriraam, Y Temel, SV Rao, AS Hegde, PL Kubben Journal of Biomedical Research 34 (3), 213, 2020 | 11 | 2020 |
Features Ranking for the Classification of Epileptic Seizure from Temporal EEG S Raghu, N Sriraam, AS Hegde Circuits, Controls, Communications and Computing (I4C), 2016 International …, 2017 | 10 | 2017 |
Adaptive median feature baseline correction for improving recognition of epileptic seizures in ICU EEG S Raghu, N Sriraam, ED Gommer, DMW Hilkman, Y Temel, SV Rao, ... Neurocomputing 407, 385-398, 2020 | 5 | 2020 |
Automated detection of epileptic seizures using dwt based features and svm classifier N Sriraam, S Raghu, Y Temel, S Vasudevarao, AS Hedge, JV Mahendra, ... 2019 2nd International Conference on Signal Processing and Communication …, 2019 | 3 | 2019 |
Application of a Low-Cost mHealth Solution for the Remote Monitoring of Patients With Epilepsy: Algorithm Development and Validation N Sriraam, S Raghu, ED Gommer, DMW Hilkman, Y Temel, SV Rao, ... JMIR Neurotechnology 2 (1), e50660, 2023 | | 2023 |