Name
Abstract | ||
|---|---|---|
Hearth Rate (HR) monitoring is increasingly performed in wrist-worn devices using low-cost photoplethysmography (PPG) sensors. However, Motion Artifacts (MAs) caused by movements of the subject’s arm affect the performance of PPG-based HR tracking. This is typically addressed coupling the PPG signal with acceleration measurements from an inertial sensor. Unfortunately, most standard approaches of ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TBCAS.2021.3122017 | IEEE Transactions on Biomedical Circuits and Systems |
Keywords | DocType | Volume |
Heart rate,Sensors,Monitoring,Task analysis,Electronic mail,Deep learning,Target tracking | Journal | 15 |
Issue | ISSN | Citations |
6 | 1932-4545 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alessio Burrello | 1 | 16 | 4.81 |
| daniele jahier pagliari | 2 | 21 | 13.19 |
| Matteo Risso | 3 | 0 | 1.69 |
| Simone Benatti | 4 | 87 | 16.94 |
| Enrico Macii | 5 | 0 | 0.34 |
| Luca Benini | 6 | 13116 | 1188.49 |
| Massimo Poncino | 7 | 460 | 57.48 |