| A computational fractional signal derivative method M Salinas, R Salas, D Mellado, A Glaría, C Saavedra Modelling and Simulation in Engineering 2018, 2018 | 11 | 2018 |
| Photoplethysmogram Fits Finger Blood Pressure Waveform for non-Invasive and minimally-Intrusive Technologies - Evaluation of Derivative Approaches AG Gonzalo Tapia , Matias Salinas , Jaime Plaza , Diego Mellado , Rodrigo ... 10th International Joint Conference on Biomedical Engineering Systems and …, 2017 | 4* | 2017 |
| Computational fractional derivatives for biosignal processing M Salinas, C Saavedra, A Glaría, R Salas Proceedings of II Latin American Conference on Statistical Computing, 2017 | 2 | 2017 |
| Proposal to innovate Arterial Pressure evaluation using a non-Invasive and minimally-Intrusive (nImI) methods based upon Photopletysmography and Machine Learning M Salinas, J Plaza, G Tapia, R Salas, C Saavedra, A Veloz, A Arriola, ... 5th European Conference BMEidea Biomedical Engineering Innovation, Design …, 2017 | 1 | 2017 |
| Predicting Cardiovascular Rehabilitation of Patients with Coronary Artery Disease Using Transfer Feature Learning R Torres, C Zurita, D Mellado, O Nicolis, C Saavedra, M Tuesta, M Salinas, ... Diagnostics 13 (3), 508, 2023 | | 2023 |
| A Step Forward to Formalize Tailored to Problem Specificity Mathematical Transforms A Glaría, R Salas, S Chabert, P Roncagliolo, A Arriola, G Tapia, M Salinas, ... Frontiers in Applied Mathematics and Statistics 8, 855862, 2022 | | 2022 |
| An Extreme Learning Machine for Blood Pressure Waveform Esti-mation using the Photoplethysmography Signal G Tapia, R Salas, M Salinas, C Saavedra, A Veloz, A Arriola, S Chabert, ... | | |
