Publications

Publications: Google Scholar

MATLAB GUI Videos

  1. A Novel Approach for Real Time Recognition of Epileptic Seizures using Minimum Variance Modified Fuzzy Entropy
  2. Classification of focal and non-focal EEG signals using neighborhood component analysis and machine learning algorithms
  3. Real-time automated detection of epileptic seizures using power band index
  4. Automated detection of epileptic seizures using successive decomposition index in long-term EEG

Journal

  1. S. Raghu, N. Srirram, Classification of focal and non-focal EEG signals using neighborhood component analysis and machine learning algorithms, Expert Systems with Applications, 2018
  2. S. Raghu, N. Sriraam, G. Padeep Kumar and A. S. Hegde, "A Novel Approach for Real Time Recognition of Epileptic Seizures using Minimum Variance Modified Fuzzy Entropy," in IEEE Transactions on Biomedical Engineering, 2018
  3. N. Srirram, S. Raghu, Classification of Focal and Non Focal Epileptic Seizures Using Multi-Features and SVM Classifier Journal of Medical Systems, 41:160, 2017.
  4. S. Raghu, N. Srirram, Optimal configuration of multilayer perceptron neural network classifier for recognition of intracranial epileptic seizures Expert Systems With Applications, vol. 89, pp. 205-221, 2017
  5. Raghu S, Sriraam N, and Pradeep Kumar G., Classification of epileptic seizures using wavelet packet log energy and norm entropies with recurrent Elman neural network classifier Cogn neurodyn, Springer, 2016
  6. Raghu S, Sriraam N, and Pradeep Kumar G. Effect of Wavelet Packet Log Energy Entropy on Electroencephalogram (EEG) Signals , International Journal of Biomedical and Clinical Engineering, IJBCE, vol. 32, (1), pp. 32-43, 2015

Conference

2016

  1. Raghu S, Sriraam N, and A.S. Hegide, "Features Ranking for the Classification of Epileptic Seizure from Temporal EEG”, in IEEE International conference on Circuits, Control, Communication and Computing-2016.
  2. Raghu S, Sriraam N, and Pradeep Kumar G, "An Automated Pre-processing Techniques for Early Qualitative Assessment of Epileptic Seizures” Indian Technology Congress – 2016.
  3. Sriraam N, Raghu S, Kadeeja Tamanna, Leena Narayan and Mehraj Khanum, A.S. Hegde "Multichannel EEG Seizures Detection Using Power Spectral Domain Features" Indian Technology Congress – 2016.
  4. Raghu S, and Pradeep Kumar G. “Statistical based Parameters Selection for Classification of Epileptic and Normal EEG Data” at National Conference on Innovative Engineering Technologies (NCIET) held on 10 and 11 of March 2016 at Christ University Faculty of Engineering, Bangalore.
  5. Raghu S, and Pradeep Kumar G, "Line Noise Removal from Raw EEG Signal Using Different Filtering Techniques: A Comparative Study” at National Conference on Innovative Engineering Technologies (NCIET)held on 13 and 14 of February 2015 at Christ University Faculty of Engineering, Bangalore.