| Authors | E. J. Husom, P. Bernabé and S. Sen |
| Title | Deep learning to predict power output from respiratory inductive plethysmography data |
| Afilliation | Software Engineering, Machine Learning |
| Project(s) | Department of Validation Intelligence for Autonomous Software Systems |
| Status | Published |
| Publication Type | Journal Article |
| Year of Publication | 2022 |
| Journal | Applied AI Letters |
| Volume | 3 |
| Issue | 2 |
| Pagination | e65 |
| Date Published | 04/2022 |
| Publisher | Wiley |
| Keywords | breathing, deep learning, Machine learning, power estimation, respiratory inductive plethysmography |
| DOI | 10.1002/ail2.65 |
| Citation Key | 43121 |
By thinking constantly about it…