| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 378043 | Artificial Intelligence in Medicine | 2008 | 11 Pages |
Abstract
The features learned from the PTcCO2 signal reflected the state of the selected metabolic variables in a subtle, but systematic, way. These findings provide a step towards understanding how metabolic disturbances are connected to carbon dioxide exchange during sleep.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Arho Virkki, Olli Polo, Tarja Saaresranta, Anne Laapotti-Salo, Mats Gyllenberg, Tero Aittokallio,