Shivnarayan Patidar

发表

Constrained Tunable-Q Wavelet Transform based Analysis of Cardiac Sound Signals☆

Ram Bilas Pachori, Shivnarayan Patidar, 2013 .

Automated pre-screening of arrhythmia using hybrid combination of Fourier-Bessel expansion and LSTM

U. Rajendra Acharya, Ashish Sharma, Ru San Tan, 2020, Comput. Biol. Medicine.

Automatic diagnosis of septal defects based on tunable-Q wavelet transform of cardiac sound signals

Ram Bilas Pachori, Shivnarayan Patidar, Niranjan Garg, 2015, Expert Syst. Appl..

Automated detection of atrial fibrillation using Fourier-bessel expansion and teager energy operator from electrocardiogram signals

Ashish Sharma, Shivnarayan Patidar, Niranjan Garg, 2017, 2017 Computing in Cardiology (CinC).

Tunable-Q wavelet transform based optimal compression of cardiac sound signals

Ram Bilas Pachori, Shivnarayan Patidar, R. B. Pachori, 2016, 2016 IEEE Region 10 Conference (TENCON).

Accurate tunable-Q wavelet transform based method for QRS complex detection

Ashish Sharma, U. Rajendra Acharya, Shivnarayan Patidar, 2019, Comput. Electr. Eng..

Atrial fibrillation detection using convolutional neural networks

Challa S. Sastry, Soumya Jana, Shivnarayan Patidar, 2017, 2017 Computing in Cardiology (CinC).

Application of Recurrent Neural Network for the Prediction of Target Non-Apneic Arousal Regions in Physiological Signals

Ashish Sharma, Kouhyar Tavakolian, Shivnarayan Patidar, 2018, 2018 Computing in Cardiology Conference (CinC).

Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions

Ram Bilas Pachori, Shivnarayan Patidar, R. B. Pachori, 2014, Comput. Methods Programs Biomed..

Classification of Normal and Epileptic Seizure EEG Signals Based on Empirical Mode Decomposition

Rajeev Sharma, Ram Bilas Pachori, Shivnarayan Patidar, 2015, Complex System Modelling and Control Through Intelligent Soft Computations.

Diagnosis of Sepsis Using Ratio Based Features

Shivnarayan Patidar, 2019, 2019 Computing in Cardiology (CinC).

Detection of epileptic seizure using Kraskov entropy applied on tunable-Q wavelet transform of EEG signals

Shivnarayan Patidar, Trilochan Panigrahi, Shivnarayan Patidar, 2017, Biomed. Signal Process. Control..

Tunable-Q wavelets transform based methodologies for analysis and classification of cardiac signals

Shivnarayan Patidar, 2014 .

Classification of cardiac sound signals using constrained tunable-Q wavelet transform

Ram Bilas Pachori, Shivnarayan Patidar, R. B. Pachori, 2014, Expert Syst. Appl..

Design and Implementation of Tunable Bandpass Filter for Biomedical Applications

Shivnarayan Patidar, M. H. Vasantha, Nithin Y. B. Kumar, 2016, 2016 IEEE International Symposium on Nanoelectronic and Information Systems (iNIS).

A Continuous Wavelet Transform Based Method for Detecting Heart Valve Disorders Using Phonocardiograph Signals

Ram Bilas Pachori, Shivnarayan Patidar, 2012, ICHIT.

egmentation of cardiac sound signals by removing murmurs using onstrained tunable-Q wavelet transform

Ram Bilas Pachori, Shivnarayan Patidar, R. B. Pachori, 2013 .

Detection of septal defects from cardiac sound signals using tunable-Q wavelet transform

Ram Bilas Pachori, Shivnarayan Patidar, Niranjan Garg, 2014, 2014 19th International Conference on Digital Signal Processing.

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

Shivnarayan Patidar, M. H. Vasantha, K. SiddharthR., 2018, 2018 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS).

Classification of Heart Disorders Based on Tunable-Q Wavelet Transform of Cardiac Sound Signals

Ram Bilas Pachori, Shivnarayan Patidar, 2015, Chaos Modeling and Control Systems Design.

An integrated alcoholic index using tunable-Q wavelet transform based features extracted from EEG signals for diagnosis of alcoholism

U. Rajendra Acharya, Ram Bilas Pachori, Shivnarayan Patidar, 2017, Appl. Soft Comput..

Automated diagnosis of coronary artery disease using tunable-Q wavelet transform applied on heart rate signals

U. Rajendra Acharya, Ram Bilas Pachori, Shivnarayan Patidar, 2015, Knowl. Based Syst..

A correlation matrix-based tensor decomposition method for early prediction of sepsis from clinical data

Shivnarayan Patidar, Veerakumar Thangaraj, Naimahmed Nesaragi, 2021, Biocybernetics and Biomedical Engineering.

Automated detection of abnormal heart sound signals using Fano-factor constrained tunable quality wavelet transform

Shivnarayan Patidar, Naimahmed Nesaragi, Nidhi Kalidas Sawant, 2021 .

Tensor learning of pointwise mutual information from EHR data for early prediction of sepsis

Vaneet Aggarwal, Shivnarayan Patidar, Naimahmed Nesaragi, 2021, Comput. Biol. Medicine.

An Explainable Machine Learning Model for Early Prediction of Sepsis Using ICU Data

Shivnarayan Patidar, Naimahmed Nesaragi, Shivnarayan Patidar, 2021, Infectious Diseases and Sepsis [Working Title].