Shivnarayan Patidar
Orcid: 0000-0003-0306-5224
According to our database1,
Shivnarayan Patidar
authored at least 22 papers
between 2012 and 2023.
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Bibliography
2023
A Tensor Decomposition-Based Feature Extraction Method to Predict Neurological Recovery from Coma After Cardiac Arrest Using EEG Signals.
Proceedings of the Computing in Cardiology, 2023
2021
Tensor learning of pointwise mutual information from EHR data for early prediction of sepsis.
Comput. Biol. Medicine, 2021
Diagnosis of Cardiac Abnormalities Applying Scattering Transform and Fourier-Bessel Expansion on ECG Signals.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
Automated pre-screening of arrhythmia using hybrid combination of Fourier-Bessel expansion and LSTM.
Comput. Biol. Medicine, 2020
2019
Comput. Electr. Eng., 2019
Proceedings of the 46th Computing in Cardiology, 2019
2018
Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2018
Application of Recurrent Neural Network for the Prediction of Target Non-Apneic Arousal Regions in Physiological Signals.
Proceedings of the Computing in Cardiology, 2018
2017
Detection of epileptic seizure using Kraskov entropy applied on tunable-Q wavelet transform of EEG signals.
Biomed. Signal Process. Control., 2017
An integrated alcoholic index using tunable-Q wavelet transform based features extracted from EEG signals for diagnosis of alcoholism.
Appl. Soft Comput., 2017
Automated Detection of Atrial Fbrillation using Fourier-Bessel expansion and Teager Energy Operator from Electrocardiogram Signals.
Proceedings of the Computing in Cardiology, 2017
Proceedings of the Computing in Cardiology, 2017
2016
Proceedings of the IEEE International Symposium on Nanoelectronic and Information Systems, 2016
2015
Classification of Normal and Epileptic Seizure EEG Signals Based on Empirical Mode Decomposition.
Proceedings of the Complex System Modelling and Control Through Intelligent Soft Computations, 2015
Classification of Heart Disorders Based on Tunable-Q Wavelet Transform of Cardiac Sound Signals.
Proceedings of the Chaos Modeling and Control Systems Design, 2015
Automated diagnosis of coronary artery disease using tunable-Q wavelet transform applied on heart rate signals.
Knowl. Based Syst., 2015
Automatic diagnosis of septal defects based on tunable-Q wavelet transform of cardiac sound signals.
Expert Syst. Appl., 2015
2014
Classification of cardiac sound signals using constrained tunable-Q wavelet transform.
Expert Syst. Appl., 2014
Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions.
Comput. Methods Programs Biomed., 2014
Detection of septal defects from cardiac sound signals using tunable-Q wavelet transform.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014
2013
Segmentation of cardiac sound signals by removing murmurs using constrained tunable-Q wavelet transform.
Biomed. Signal Process. Control., 2013
2012
A Continuous Wavelet Transform Based Method for Detecting Heart Valve Disorders Using Phonocardiograph Signals.
Proceedings of the Convergence and Hybrid Information Technology, 2012