| IoT healthcare analytics: The importance of anomaly detection A Ukil, S Bandyoapdhyay, C Puri, A Pal 2016 IEEE 30th international conference on advanced information networking …, 2016 | 270 | 2016 |
| 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 | 165 | 2017 |
| iCarMa: inexpensive cardiac arrhythmia management--an IoT healthcare analytics solution C Puri, A Ukil, S Bandyopadhyay, R Singh, A Pal, K Mandana Proceedings of the first workshop on IoT-enabled healthcare and wellness …, 2016 | 44 | 2016 |
| 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 | 37 | 2019 |
| System and method for determining information and outliers from sensor data S Bandyopadhyay, A Pal, A Ukil, T Bose, P Chetanya US Patent 10,743,819, 2020 | 34 | 2020 |
| Heart-trend: an affordable heart condition monitoring system exploiting morphological pattern A Ukil, S Bandyopadhyay, C Puri, A Pal 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 27 | 2016 |
| Interdisciplinary research unlocking innovative solutions in healthcare D Lepore, K Dolui, O Tomashchuk, H Shim, C Puri, Y Li, N Chen, ... Technovation 120, 102511, 2023 | 25 | 2023 |
| Classification of normal and abnormal heart sound recordings through robust feature selection C Puri, A Ukil, S Bandyopadhyay, R Singh, A Pal, A Mukherjee, ... 2016 computing in cardiology conference (CinC), 1125-1128, 2016 | 23 | 2016 |
| An unsupervised learning for robust cardiac feature derivation from PPG signals S Bandyopadhyay, A Ukil, C Puri, R Singh, A Pal, KM Mandana, ... 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 16 | 2016 |
| Cardiac condition monitoring through photoplethysmogram signal denoising using wearables: can we detect coronary artery disease with higher performance efficacy? A Ukil, S Bandyoapdhyay, C Puri, A Pal, K Mandana 2016 Computing in Cardiology Conference (CinC), 281-284, 2016 | 13 | 2016 |
| SensIPro: Smart sensor analytics for Internet of things S Bandyopadhyay, A Ukil, C Puri, R Singh, T Bose, A Pal 2016 IEEE Symposium on Computers and Communication (ISCC), 415-421, 2016 | 13 | 2016 |
| AutoModeling: integrated approach for automated model generation by ensemble selection of feature subset and classifier A Ukil, I Sahu, C Puri, A Mukherjee, R Singh, S Bandyopadhyay, A Pal 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 11 | 2018 |
| PREgDICT : Early prediction of gestational weight gain for pregnancy care C Puri, G Kooijman, F Masculo, SV Sambeek, SD Boer, S Luca, ... 41st International Engineering in Medicine and Biology Conference, 2019 | 9 | 2019 |
| Forecasting time series in healthcare with Gaussian processes and dynamic time warping based subset selection C Puri, G Kooijman, B Vanrumste, S Luca IEEE Journal of Biomedical and Health Informatics 26 (12), 6126-6137, 2022 | 8 | 2022 |
| Privacy preserving pregnancy weight gain management: demo abstract C Puri, K Dolui, G Kooijman, F Masculo, S Van Sambeek, SD Boer, ... Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 398-399, 2019 | 7 | 2019 |
| IAS: Information analytics for sensors S Bandyopadhyay, A Ukil, C Puri, A Pal, R Singh, T Bose Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems …, 2015 | 7 | 2015 |
| Analysis of phonocardiogram signals through proactive denoising using novel self-discriminant learner C Puri, R Singh, S Bandyopadhyay, A Ukil, A Mukherjee 2017 39th annual international conference of the IEEE engineering in …, 2017 | 6 | 2017 |
| Class augmented semi-supervised learning for practical clinical analytics on physiological signals A Ukil, S Bandyopadhyay, C Puri, R Singh, A Pal arXiv preprint arXiv:1812.07498, 2018 | 5 | 2018 |
| Cascaded binary classifier for identifying rhythms in a single-lead electrocardiogram (ECG) signal S Datta, P Chetanya, A Mukherjee, R Banerjee, AD Choudhury, A Ukil, ... US Patent 10,750,968, 2020 | 4 | 2020 |
| Heartmate: automated integrated anomaly analysis for effective remote cardiac health management A Ukil, S Bandyopadhyay, C Puri, R Singh, A Pal, A Mukherjee 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 4 | 2017 |
Dr. Arijit UkilPrincipal Scientist, TCS Research, Tata Consultancy Services, Kolkata, India在 tcs.com 的电子邮件经过验证
