| Identifying normal, AF and other abnormal ECG rhythms using a cascaded binary classifier S Datta, C Puri, A Mukherjee, R Banerjee, AD Choudhury, R Singh, A Ukil, ... 2017 Computing in cardiology (cinc), 1-4, 2017 | 174 | 2017 |
| Estimating blood pressure using Windkessel model on photoplethysmogram AD Choudhury, R Banerjee, A Sinha, S Kundu 2014 36th annual international conference of the IEEE engineering in …, 2014 | 92 | 2014 |
| Noise cleaning and Gaussian modeling of smart phone photoplethysmogram to improve blood pressure estimation R Banerjee, A Ghose, AD Choudhury, A Sinha, A Pal 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 48 | 2015 |
| PhotoECG: Photoplethysmographyto estimate ECG parameters R Banerjee, A Sinha, AD Choudhury, A Visvanathan 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 48 | 2014 |
| Identifying coronary artery disease from photoplethysmogram R Banerjee, R Vempada, KM Mandana, AD Choudhury, A Pal Proceedings of the 2016 ACM international joint conference on pervasive and …, 2016 | 47 | 2016 |
| Blood pressure estimation from photoplethysmogram using latent parameters S Datta, R Banerjee, AD Choudhury, A Sinha, A Pal 2016 IEEE International conference on communications (ICC), 1-7, 2016 | 47 | 2016 |
| Event triggered location based participatory surveillance D Chattopadhyay, A Pal, R Banerjee, R Dasgupta, P Sinha, A Sinha, ... US Patent 9,740,940, 2017 | 40 | 2017 |
| Detection of atrial fibrillation and other abnormal rhythms from ECG using a multi-layer classifier architecture A Mukherjee, AD Choudhury, S Datta, C Puri, R Banerjee, R Singh, A Ukil, ... Physiological measurement 40 (5), 054006, 2019 | 38 | 2019 |
| Smartphone based digital stethoscope for connected health--A direct acoustic coupling technique A Sinharay, D Ghosh, P Deshpande, S Alam, R Banerjee, A Pal 2016 IEEE First International Conference on Connected Health: Applications …, 2016 | 34 | 2016 |
| Smart phone based blood pressure indicator A Visvanathan, R Banerjee, A Dutta Choudhury, A Sinha, S Kundu Proceedings of the 4th ACM MobiHoc workshop on pervasive wireless healthcare …, 2014 | 33 | 2014 |
| Time-frequency analysis of phonocardiogram for classifying heart disease R Banerjee, S Biswas, S Banerjee, AD Choudhury, T Chattopadhyay, ... 2016 Computing in Cardiology Conference (CinC), 573-576, 2016 | 31 | 2016 |
| Synthetic PPG signal generation to improve coronary artery disease classification: Study with physical model of cardiovascular system O Mazumder, R Banerjee, D Roy, S Bhattacharya, A Ghose, A Sinha IEEE Journal of Biomedical and Health Informatics 26 (5), 2136-2146, 2022 | 25 | 2022 |
| A hybrid CNN-LSTM architecture for detection of coronary artery disease from ECG R Banerjee, A Ghose, KM Mandana 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 25 | 2020 |
| Monitoring physiological parameters A Visvanathan, A Pal, AD Choudhury, T Chattopadhyay, A Kumar, ... US Patent 9,924,870, 2018 | 24 | 2018 |
| Time series and morphological feature extraction for classifying coronary artery disease from photoplethysmogram R Banerjee, S Bhattacharya, S Alam 2018 IEEE International conference on acoustics, speech and signal …, 2018 | 22 | 2018 |
| Method and system for noise cleaning of photoplethysmogram signals R Banerjee, AD Choudhury, A Sinha, A Ghose, A Pal US Patent 9,855,012, 2018 | 22 | 2018 |
| Estimation of ECG parameters using photoplethysmography R Banerjee, A Sinha, A Pal, A Kumar 13th IEEE International Conference on BioInformatics and BioEngineering, 1-5, 2013 | 21 | 2013 |
| A semi-supervised approach for identifying abnormal heart sounds using variational autoencoder R Banerjee, A Ghose ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 20 | 2020 |
| Non invasive detection of coronary artery disease using pcg and ppg R Banerjee, AD Choudhury, S Datta, A Pal, KM Mandana eHealth 360°: International Summit on eHealth, Budapest, Hungary, June 14-16 …, 2017 | 20 | 2017 |
| Synthesis of realistic ECG waveforms using a composite generative adversarial network for classification of atrial fibrillation R Banerjee, A Ghose 2021 29th European signal processing conference (EUSIPCO), 1145-1149, 2021 | 17 | 2021 |
