| Inferior myocardial infarction detection using stationary wavelet transform and machine learning approach LD Sharma, RK Sunkaria Signal, Image and Video Processing 12 (2), 199-206, 2018 | 153 | 2018 |
| ECG signal denoising via empirical wavelet transform O Singh, RK Sunkaria Australasian physical & engineering sciences in medicine 40, 219-229, 2017 | 107 | 2017 |
| A robust QRS detection using novel pre-processing techniques and kurtosis based enhanced efficiency LD Sharma, RK Sunkaria Measurement 87, 194-204, 2016 | 94 | 2016 |
| Detection of coronary artery disease by reduced features and extreme learning machine RS Singh, BS Saini, RK Sunkaria Clujul Medical 91 (2), 166, 2018 | 69 | 2018 |
| Myocardial infarction detection and localization using optimal features based lead specific approach LD Sharma, RK Sunkaria Irbm 41 (1), 58-70, 2020 | 50 | 2020 |
| Merged LSTM Model for emotion classification using EEG signals A Garg, A Kapoor, AK Bedi, RK Sunkaria 2019 International conference on data science and engineering (ICDSE), 139-143, 2019 | 43 | 2019 |
| Fog detection using GLCM based features and SVM R Asery, RK Sunkaria, LD Sharma, A Kumar 2016 Conference on Advances in Signal Processing (CASP), 72-76, 2016 | 43 | 2016 |
| ECG signal denoising based on empirical mode decomposition and moving average filter O Singh, RK Sunkaria 2013 IEEE International Conference on Signal Processing, Computing and …, 2013 | 39 | 2013 |
| Mental arithmetic task load recognition using EEG signal and Bayesian optimized K-nearest neighbor LD Sharma, H Chhabra, U Chauhan, RK Saraswat, RK Sunkaria International Journal of Information Technology 13 (6), 2363-2369, 2021 | 37 | 2021 |
| A robust R-peak detection algorithm using wavelet packets O Singh, RK Sunkaria Int. J. Comput. Appl 36, 37-43, 2011 | 33 | 2011 |
| Complexity quantification of cardiac variability time series using improved sample entropy (I-SampEn) P Marwaha, RK Sunkaria Australasian physical & engineering sciences in medicine 39, 755-763, 2016 | 29 | 2016 |
| Arrhythmia detection based on time–frequency features of heart rate variability and back-propagation neural network RS Singh, BS Saini, RK Sunkaria Iran Journal of Computer Science 2 (4), 245-257, 2019 | 28 | 2019 |
| Despeckling of ultrasound images using novel adaptive wavelet thresholding function SK Randhawa, RK Sunkaria, E Puthooran Multidimensional Systems and Signal Processing 30, 1545-1561, 2019 | 28 | 2019 |
| Stationary wavelet transform based technique for automated external defibrillator using optimally selected classifiers LD Sharma, RK Sunkaria Measurement 125, 29-36, 2018 | 27 | 2018 |
| Real-time salt and pepper noise removal from medical images using a modified weighted average filtering S Gupta, RK Sunkaria 2017 fourth international conference on image information processing (ICIIP …, 2017 | 26 | 2017 |
| Detection of onset, systolic peak and dicrotic notch in arterial blood pressure pulses O Singh, RK Sunkaria Measurement and Control 50 (7-8), 170-176, 2017 | 26 | 2017 |
| Wavelet based R-peak detection for heart rate variability studies RK Sunkaria, SC Saxena, V Kumar, AM Singhal Journal of medical engineering & technology 34 (2), 108-115, 2010 | 26 | 2010 |
| Detection and delineation of the enigmatic U-wave in an electrocardiogram LD Sharma, RK Sunkaria International Journal of Information Technology 13, 2525-2532, 2021 | 25 | 2021 |
| Mean distance local binary pattern: a novel technique for color and texture image retrieval for liver ultrasound images AK Bedi, RK Sunkaria Multimedia Tools and Applications 80 (14), 20773-20802, 2021 | 24 | 2021 |
| Powerline interference reduction in ECG signals using empirical wavelet transform and adaptive filtering O Singh, RK Sunkaria Journal of medical engineering & technology 39 (1), 60-68, 2015 | 24 | 2015 |
Dr Omkar SinghNational Institute of Technology Srinagar, (J&K) 190006Adresse e-mail validée de nitsri.net
