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 |