| Real-time QRS detector using stationary wavelet transform for automated ECG analysis V Kalidas, L Tamil 2017 IEEE 17th international conference on Bioinformatics and Bioengineering …, 2017 | 96 | 2017 |
| Detection of atrial fibrillation using discrete-state Markov models and Random Forests V Kalidas, LS Tamil Computers in biology and medicine 113, 103386, 2019 | 44 | 2019 |
| Enhancing accuracy of arrhythmia classification by combining logical and machine learning techniques V Kalidas, LS Tamil 2015 Computing in Cardiology Conference (CinC), 733-736, 2015 | 38 | 2015 |
| Cardiac arrhythmia classification using multi-modal signal analysis V Kalidas, LS Tamil Physiological measurement 37 (8), 1253, 2016 | 34 | 2016 |
| Detection of premature ventricular complexes using semisupervised autoencoders and random forests V Kalidas, LS Tamil 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 7 | 2020 |
| Tamil. Enhancing accuracy of arrhythmia classification by combining logical and machine learning techniques V Kalidas, S Lakshman 2015 Computing in Cardiology Conference (CinC), 733-736, 0 | 5 | |
| System and method for automated analysis and detection of cardiac arrhythmias from electrocardiograms V Kalidas, LS Tamil US Patent App. 17/380,765, 2022 | 1 | 2022 |
| Machine Learning Techniques for Automated Detection of Cardiac Arrhythmias V Kalidas | | 2020 |
Lakshman TamilProfessor of Electrical Engineering, University of Texas at DallasGeverifieerd e-mailadres voor utdallas.edu
