Abstract
This paper presents a real-time multiresolution approach for respiratory motion modeling. The proposed methodology utilizes a hybrid approach that combines wellknown linear identification methods with a novel Global-Local Orthogonal Mapping (GLO-MAP) network. Further, adaptation laws are derived using the recent advances in adaptive control to adapt for respiration models in real-time from imagery data. Finally, the effectiveness of the proposed technique is illustrated by testing them on patient's chest motion data captured by imagery data of external markers.
| Original language | English |
|---|---|
| Title of host publication | 2007 IEEE/NIH Life Science Systems and Applications Workshop |
| Number of pages | 4 |
| Publisher | IEEE |
| Publication date | 08.09.2008 |
| Pages | 23-26 |
| Article number | 4400875 |
| ISBN (Print) | 978-1-4244-1812-1, 978-1-4244-1813-8 |
| DOIs | |
| Publication status | Published - 08.09.2008 |
| Event | 2007 IEEE/NIH Life Science Systems and Applications Workshop - Bethesda, United States Duration: 08.11.2007 → 09.11.2007 Conference number: 73187 |