| Analysis and classification of heart rate using CatBoost feature ranking model B Dhananjay, J Sivaraman Biomedical Signal Processing and Control 68, 102610, 2021 | 47 | 2021 |
| The role of heart rate variability in atrial ECG components of normal sinus rhythm and sinus tachycardia subjects B Dhananjay, J Sivaraman Intelligent System Design: Proceedings of Intelligent System Design: INDIA …, 2021 | 12 | 2021 |
| Cardiac signals classification based on Extra Trees model B Dhananjay, NP Venkatesh, A Bhardwaj, J Sivaraman 2021 8th International Conference on Signal Processing and Integrated …, 2021 | 4 | 2021 |
| A new lead system for improved recording of P-wave amplitude and its significance with existing optimal leads NP Venkatesh, A Bharadwaj, J Sivaraman, B Dhananjay 2021 Seventh International conference on Bio Signals, Images, and …, 2021 | 4 | 2021 |
| A holistic overview of artificial intelligence in detection, classification and prediction of atrial fibrillation using electrocardiogram: a systematic review and meta-analysis A Bhardwaj, D Budaraju, P Venkatesh, D Chowdhury, RP Kumar, K Pal, ... Archives of Computational Methods in Engineering 30 (7), 4063-4079, 2023 | 3 | 2023 |
| The role of optimal and modified lead systems in electrocardiogram NP Venkatesh, B Arya, B Dhananjay, J Sivaraman Advanced Methods in Biomedical Signal Processing and Analysis, 311-340, 2023 | 2 | 2023 |
| Development of optimal corrected PTa interval formula for different heart rates S Karimulla, A Bhardwaj, J Sivaraman, B Dhananjay Proceedings of the International e-Conference on Intelligent Systems and …, 2022 | 2 | 2022 |
| Design and development of LSTM-RNN model for the prediction of RR intervals in ECG signals B Dhananjay, NP Venkatesh, A Bhardwaj, J Sivaraman Proceedings of the International e-Conference on Intelligent Systems and …, 2022 | 2 | 2022 |
| Prediction of cardiac rhythm based on heart rate variability features in sinus tachycardia conditions B Dhananjay, J Sivaraman 2021 Seventh International conference on Bio Signals, Images, and …, 2021 | 2 | 2021 |
| A Q-transform-based deep learning model for the classification of atrial fibrillation types B Dhananjay, RP Kumar, BC Neelapu, K Pal, J Sivaraman Physical and Engineering Sciences in Medicine, 1-11, 2024 | | 2024 |
| Stacked machine learning models to classify atrial disorders based on clinical ECG features: a method to predict early atrial fibrillation D Budaraju, BC Neelapu, K Pal, S Jayaraman Biomedical Engineering/Biomedizinische Technik 68 (4), 393-409, 2023 | | 2023 |
| SAEM23 ABSTRACTS A Bhardwaj, D Budaraju, P Venkatesh, D Chowdhury, RP Kumar, K Pal, ... ACADEMIC EMERGENCY MEDICINE 30, 8-423, 2023 | | 2023 |
| Heart rate variability B Dhananjay, B Arya, NP Venkatesh, J Sivaraman Advanced Methods in Biomedical Signal Processing and Analysis, 31-59, 2023 | | 2023 |
| Fractal Dimension of Fundoscopical Retinal Images for Diagnosing of Diabetic Retinopathy B Dhananjay, M Srinivas, D Suman, M Malini, J Sivaraman International Conference on E-Business and Telecommunications 3, 23-30, 2019 | | 2019 |
| Atrial Fibrillation beat classification based on fibrillatory waves and Heart Rate Variability features by developing Decision Tree model B Dhananjay, J Sivaraman 48th International Congress on Electrocardiology, International Society of …, 0 | | |
Sivaraman JAssistant Professor, Dept. of Biotechnology & Medical Engineering, NIT RourkelaVerified email at nitrkl.ac.in
