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S. Raghu
S. Raghu
PhD research scholar at Maastricht University
Dirección de correo verificada de maastrichtuniversity.nl - Página principal
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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
3192020
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
2052018
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
1072019
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
1072019
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
992017
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
912017
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
872017
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
642018
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
522020
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
382018
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
372019
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
222015
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
192020
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
132020
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
122018
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
102017
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
72020
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
32019
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
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–19