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ORCIDShivnarayan Patidar
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2020 – today
- 2023
[c10]Shivnarayan Patidar, Nidhi Kalidas Sawant:
A Tensor Decomposition-Based Feature Extraction Method to Predict Neurological Recovery from Coma After Cardiac Arrest Using EEG Signals. CinC 2023: 1-4- 2021
- [j10]Naimahmed Nesaragi
, Shivnarayan Patidar, Vaneet Aggarwal:
Tensor learning of pointwise mutual information from EHR data for early prediction of sepsis. Comput. Biol. Medicine 134: 104430 (2021) - [c9]Nidhi Kalidas Sawant, Shivnarayan Patidar:
Diagnosis of Cardiac Abnormalities Applying Scattering Transform and Fourier-Bessel Expansion on ECG Signals. CinC 2021: 1-4 - 2020
- [j9]Ashish Sharma, Niranjan Garg, Shivnarayan Patidar, Ru San Tan, U. Rajendra Acharya:
Automated pre-screening of arrhythmia using hybrid combination of Fourier-Bessel expansion and LSTM. Comput. Biol. Medicine 120: 103753 (2020)
2010 – 2019
- 2019
- [j8]Ashish Sharma, Shivnarayan Patidar, Abhay Upadhyay, U. Rajendra Acharya:
Accurate tunable-Q wavelet transform based method for QRS complex detection. Comput. Electr. Eng. 75: 101-111 (2019) - [c8]Shivnarayan Patidar:
Diagnosis of Sepsis Using Ratio Based Features. CinC 2019: 1-4 - 2018
- [c7]Naimahmed Nesaragi, Shubha Majumder, Ashish Sharma, Kouhyar Tavakolian, Shivnarayan Patidar:
Application of Recurrent Neural Network for the Prediction of Target Non-Apneic Arousal Regions in Physiological Signals. CinC 2018: 1-4 - [c6]Chetan Kamble, Siddharth R. K., Shivnarayan Patidar, M. H. Vasantha, Nithin Y. B. Kumar:
Design of Area-Power-Delay Efficient Square Root Carry Select Adder. iSES 2018: 80-85 - 2017
- [j7]Shivnarayan Patidar, Ram Bilas Pachori, Abhay Upadhyay, U. Rajendra Acharya:
An integrated alcoholic index using tunable-Q wavelet transform based features extracted from EEG signals for diagnosis of alcoholism. Appl. Soft Comput. 50: 71-78 (2017) - [j6]Shivnarayan Patidar, Trilochan Panigrahi:
Detection of epileptic seizure using Kraskov entropy applied on tunable-Q wavelet transform of EEG signals. Biomed. Signal Process. Control. 34: 74-80 (2017) - [c5]Sandeep Chandra Bollepalli, Challa S. Sastry, Soumya Jana, Shivnarayan Patidar:
Atrial Fibrillation Detection Using Convolutional Neural Networks. CinC 2017 - [c4]Shivnarayan Patidar, Ashish Sharma, Niranjan Garg:
Automated Detection of Atrial Fbrillation using Fourier-Bessel expansion and Teager Energy Operator from Electrocardiogram Signals. CinC 2017 - 2016
- [c3]Saurabh B. Kaurati, Nithin Y. B. Kumar, Shivnarayan Patidar, M. H. Vasantha:
Design and Implementation of Tunable Bandpass Filter for Biomedical Applications. iNIS 2016: 43-46 - 2015
- [j5]Shivnarayan Patidar, Ram Bilas Pachori, Niranjan Garg:
Automatic diagnosis of septal defects based on tunable-Q wavelet transform of cardiac sound signals. Expert Syst. Appl. 42(7): 3315-3326 (2015) - [j4]Shivnarayan Patidar, Ram Bilas Pachori, U. Rajendra Acharya:
Automated diagnosis of coronary artery disease using tunable-Q wavelet transform applied on heart rate signals. Knowl. Based Syst. 82: 1-10 (2015) - [p2]Shivnarayan Patidar, Ram Bilas Pachori:
Classification of Heart Disorders Based on Tunable-Q Wavelet Transform of Cardiac Sound Signals. Chaos Modeling and Control Systems Design 2015: 239-264 - [p1]Ram Bilas Pachori, Rajeev Sharma, Shivnarayan Patidar:
Classification of Normal and Epileptic Seizure EEG Signals Based on Empirical Mode Decomposition. Complex System Modelling and Control Through Intelligent Soft Computations 2015: 367-388 - 2014
- [j3]Ram Bilas Pachori, Shivnarayan Patidar:
Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions. Comput. Methods Programs Biomed. 113(2): 494-502 (2014) - [j2]Shivnarayan Patidar, Ram Bilas Pachori:
Classification of cardiac sound signals using constrained tunable-Q wavelet transform. Expert Syst. Appl. 41(16): 7161-7170 (2014) - [c2]Shivnarayan Patidar, Ram Bilas Pachori, Niranjan Garg:
Detection of septal defects from cardiac sound signals using tunable-Q wavelet transform. DSP 2014: 580-585 - 2013
- [j1]Shivnarayan Patidar, Ram Bilas Pachori:
Segmentation of cardiac sound signals by removing murmurs using constrained tunable-Q wavelet transform. Biomed. Signal Process. Control. 8(6): 559-567 (2013) - 2012
- [c1]Shivnarayan Patidar, Ram Bilas Pachori:
A Continuous Wavelet Transform Based Method for Detecting Heart Valve Disorders Using Phonocardiograph Signals. ICHIT (2) 2012: 513-520
Coauthor Index
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