A Multiresolution Adaptive Approach for Respiratory Motion Modeling

Puneet Singla; Tarunraj Singh; Achim Schweikard

doi:10.1109/LSSA.2007.4400875

A Multiresolution Adaptive Approach for Respiratory Motion Modeling

Puneet Singla, Tarunraj Singh, Achim Schweikard

Institute of Robotics and Cognitive Systems

State University of New York at Buffalo

1 Citation (Scopus)

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	https://doi.org/10.1109/LSSA.2007.4400875
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

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure

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10.1109/LSSA.2007.4400875

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title = "A Multiresolution Adaptive Approach for Respiratory Motion Modeling",

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.",

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series = "IEEE Proceedings",

publisher = "IEEE",

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Singla, P, Singh, T & Schweikard, A 2008, A Multiresolution Adaptive Approach for Respiratory Motion Modeling. in 2007 IEEE/NIH Life Science Systems and Applications Workshop., 4400875, IEEE Proceedings, IEEE, pp. 23-26, 2007 IEEE/NIH Life Science Systems and Applications Workshop , Bethesda, Maryland, United States, 08.11.07. https://doi.org/10.1109/LSSA.2007.4400875

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AB - 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.

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SN - 978-1-4244-1812-1

SN - 978-1-4244-1813-8

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PB - IEEE

T2 - 2007 IEEE/NIH Life Science Systems and Applications Workshop

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ER -

A Multiresolution Adaptive Approach for Respiratory Motion Modeling

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