| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10320550 | Artificial Intelligence in Medicine | 2014 | 8 Pages |
Abstract
In contrast with conventional control approaches, the proposed adaptive controller achieves better heart rate tracking performance under inter- and intra-model uncertainty and external disturbances. The developed system can automatically adapt to various individual exercisers and a range of exercise intensity.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Tuan Nghia Nguyen, Steven Su, Branko Celler, Hung Nguyen,