Shivnarayan Patidar

发表

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.

A Fourier-Bessel Expansion-Based Method for Automated Detection of Atrial Fibrillation From Electrocardiogram Signals

Ashish Sharma, Shivnarayan Patidar, 2019, Pre-Screening Systems for Early Disease Prediction, Detection, and Prevention.

Diagnosis of Sepsis Using Ratio Based Features

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

Automated diagnosis of coronary artery disease using scalogram-based tensor decomposition with heart rate signals.

U. Acharya, Ashish Sharma, Shivnarayan Patidar, 2022, Medical engineering & physics.

Distribution and correlations of school bully activities in a Central Indian district of Madhya Pradesh

Shivnarayan Patidar, B. Mishra, Bidushi Mishra, 2021, The Journal of Community Health Management.

Application of Fourier-Bessel expansion and LSTM on multi-lead ECG for cardiac abnormalities identification

Nidhi Kalidas Sawant, Shivnarayan Patidar, 2022, Physiological measurement.

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..

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.

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..

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].

Early Prediction of Sepsis From Clinical Data Using Ratio and Power-Based Features.

Shivnarayan Patidar, Naimahmed Nesaragi, 2020, Critical care medicine.

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

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

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..

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

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

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

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

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).

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..

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.

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..

A scalogram tensor decomposition based ECG quality assessment.

Ashish Sharma, Shivnarayan Patidar, N. Sawant, 2023, Journal of electrocardiology.

A Tensor Decomposition-Based Feature Extraction Method to Predict Neurological Recovery from Coma After Cardiac Arrest Using EEG Signals

Shivnarayan Patidar, N. Sawant, 2023, 2023 Computing in Cardiology (CinC).

Diagnosis of Cardiac Abnormalities Applying Scattering Transform and Fourier-Bessel Expansion on ECG Signals

Shivnarayan Patidar, N. Sawant, 2021, 2021 Computing in Cardiology (CinC).

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).