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 | 28 | 2016 |
Exploring total cardiac variability in healthy and pathophysiological subjects using improved refined multiscale entropy P Marwaha, RK Sunkaria Medical & biological engineering & computing 55, 191-205, 2017 | 14 | 2017 |
Cardiac variability time–series analysis by sample entropy and multiscale entropy P Marwaha, RK Sunkaria International Journal of Medical Engineering and Informatics 7 (1), 1-14, 2015 | 11 | 2015 |
Accurate detection of congestive heart failure using electrocardiomatrix technique K Sharma, BM Rao, P Marwaha, A Kumar Multimedia Tools and Applications 81 (21), 30007-30023, 2022 | 10 | 2022 |
Optimal Selection of Threshold Value ‘r’ for Refined Multiscale Entropy P Marwaha, RK Sunkaria Cardiovascular engineering and technology 6, 557-576, 2015 | 7 | 2015 |
Detection of atrial fibrillation based on Stockwell transformation using convolutional neural networks BM Rao, A Kumar, N Bachwani, P Marwaha International Journal of Information Technology 15 (4), 1937-1947, 2023 | 6 | 2023 |
Suitability of multiscale entropy for complexity quantification of cardiac rhythms in chronic pathological conditions: a similarity patterns based investigation P Marwaha, RK Sunkaria, A Kumar Multimedia Tools and Applications 80 (5), 7675-7686, 2021 | 5 | 2021 |
A Deep Learning Approach for the Classification of Arrhythmias in ECG Signal A Kumar, M Sipani, P Marwaha 2021 8th International Conference on Computing for Sustainable Global …, 2021 | 2 | 2021 |
Image Retrieval Techniques Using Content-Based Local Binary Descriptors: A Survey R Asery, RK Sunkaria, P Marwaha, LD Sharma Handbook of Research on Advanced Concepts in Real-Time Image and Video …, 2018 | 2 | 2018 |
Multi-scale complexity analysis of cardiac variability time series in adult and mid-aged females P Marwaha, RK Sunkaria 2015 2nd International Conference on Computing for Sustainable Global …, 2015 | 2 | 2015 |
Machine Learning Techniques Used for Diagnosing Cardiac Abnormalities using Electrocardiogram BM Rao, A Kumar, P Marwaha, A Bage Advanced Research in Electronic Devices for Biomedical and mHealth, 53-77, 2025 | | 2025 |
Improved cross sample entropy with error-metric based cardiac variability time series evaluation K Sharma, RK Sunkaria, P Marwaha International Journal of Information Technology, 1-16, 2024 | | 2024 |
MSE model incorporating Fourier decomposition method: HRV study of ECG signals for atrial fibrillation and congestive heart failure A Kumar, BM Rao, P Marwaha, A Jaiswal e-Prime-Advances in Electrical Engineering, Electronics and Energy 6, 100311, 2023 | | 2023 |
Gender Based Variability Time Series Complexity Analysis RK Sunkaria, P Marwaha International Journal of Biomedical and Biological Engineering 8 (3), 129-133, 2014 | | 2014 |
Sample entropy is unable to explore spatial and temporal fluctuations in physiologic time series!! P Marwaha, RKSRK Sunkaria Journal of Electrocardiology 46 (4), e24-e25, 2013 | | 2013 |
New algorithm development for snow cover monitoring at sub-pixel level using modis data VD Sharma, J.K., Puneeta and Mishra Atti Fondazione Giorgio Ronchi International journal ,Italy, 65 (4), 439-452, 2010 | | 2010 |