| Improving Photoplethysmographic Measurements under Motion Artifacts using Artificial Neural Network for Personal Healthcare M Singha Roy, R Gupta, C JK, K Das Sharma, A Talukdar IEEE Transactions on Instrumentation & Measurement 67 (12), 2820-2829, 0 | 73* | |
| Photoplethysmogram Signal Quality Evaluation by Unsupervised Learning Approach MS Roy, R Gupta, KD Sharma 2020 IEEE Applied Signal Processing Conference (ASPCON), 6-10, 2020 | 26 | 2020 |
| On-Device Reliability Assessment and Prediction of Missing Photoplethysmographic Data Using Deep Neural Networks MS Roy, B Roy, R Gupta, KD Sharma IEEE Transactions on Biomedical Circuits and Systems, 2020 | 24 | 2020 |
| Motion Artifact Reduction from Finger Photoplethysmogram Using Discrete Wavelet Transform A Biswas, M Singha Roy, R Gupta Recent Trends in Signal and Image Processing (Springer), Part of the …, 2018 | 16 | 2018 |
| Reconstruction of Corrupted and Missing Segments from Photoplethysmograhic Data Using Recurrent Neural Network M Singha Roy, P Bag, R Gupta 2019 IEEE R10 Symposium (TENSYMP), 214-219, 0 | | |
Rajarshi GuptaProfessor of Measurement & Instrumentation, Department of Applied Physics, University of Calcutta在 caluniv.ac.in 的电子邮件经过验证
