Shivnarayan Patidar

Orcid: 0000-0003-0306-5224

According to our database1, Shivnarayan Patidar authored at least 22 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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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
Accurate tunable-Q wavelet transform based method for QRS complex detection.
Comput. Electr. Eng., 2019

Diagnosis of Sepsis Using Ratio Based Features.
Proceedings of the 46th Computing in Cardiology, 2019

2018
Design of Area-Power-Delay Efficient Square Root Carry Select Adder.
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

Atrial Fibrillation Detection Using Convolutional Neural Networks.
Proceedings of the Computing in Cardiology, 2017

2016
Design and Implementation of Tunable Bandpass Filter for Biomedical Applications.
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


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