Research
Pradeep Kumar G., Utsav Dutta, A. G. Ramakrishnan, Kanishka Sharma, ”Functional Connectivity and Graph Network based EEG Biometrics on a Heterogeneous Dataset”, Expert Systems with Applications, Elsevier. (Under review)
Pradeep Kumar G., A. G. Ramakrishnan, Kanishka Sharma, A. Adarsh, ”Increased Entropy of Gamma Oscillations in the Frontal Region during Meditation” 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, (EMBC), IEEE, 2021.(Accepted)
Pradeep Kumar G., A. G. Ramakrishnan, Kanishka Sharma, ”Fuzzy entropy as a measure of EEG complexity during Rajayoga practice in long-term meditators” IEEE 17th India Council International Conference, (INDICON), pp. 1-5. IEEE, 2020.
A. G. Ramakrishnan, Pradeep Kumar G., Kanishka Sharma, ”Characterization of meditation EEG based on consistency of covariance matrices over time” IEEE 17th India Council International Conference, (INDICON), pp. 1-6. IEEE, 2020.
A. G. Ramakrishnan, A. Adarsh, Kanishka Sharma, and Pradeep Kumar G, ”Anomaly in respiratory sinus arrhythmia–multiple heart rate variability cycles within each breathing cycle at low breath rates with breath holds” 2020 IEEE International Conference on Electronics,Computing and Communication Technologies(CONECCT), pp. 1-6. IEEE, 2020.
Raghu Shivarudhrappa, Natarajan Sriraam, Pradeep Kumar G, and Alangar Satyaranjandas Hegde, ”A novel approach for real-time recognition of epileptic seizures using minimum variance modified fuzzy entropy” IEEE Transactions on Biomedical Engineering, 65, no. 11: 2612-2621,2018.
Raghu, S., N. Sriraam, and Pradeep Kumar G, ”Classification of epileptic seizures using wavelet packet log energy and norm entropies with recurrent Elman neural network classifier” Cognitive neurodynamics, 11, no. 1: 51-66, 2017.
Raghu, S., N. Sriraam, and Pradeep Kumar G, ”Effect of wavelet packet log energy entropy on electroencephalogram (EEG) signals” International Journal of Biomedical and Clinical Engineering (IJBCE) 4, no. 1: 32-43, 2015.
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