A multiresolution adaptive approach for respiratory motion modeling

Puneet Singla, Tarunraj Singh, Achim Schweikard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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 languageEnglish (US)
Title of host publication2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA
PublisherIEEE Computer Society
Pages23-26
Number of pages4
ISBN (Print)9781424418138
DOIs
StatePublished - Jan 1 2007
Event2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA - Bethesda, MD, United States
Duration: Nov 8 2007Nov 9 2007

Publication series

Name2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA

Other

Other2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA
CountryUnited States
CityBethesda, MD
Period11/8/0711/9/07

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems

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    Singla, P., Singh, T., & Schweikard, A. (2007). A multiresolution adaptive approach for respiratory motion modeling. In 2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA (pp. 23-26). [4400875] (2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA). IEEE Computer Society. https://doi.org/10.1109/LSSA.2007.4400875