DocumentCode :
3685041
Title :
Motion prediction using dual Kalman filter for robust beating heart tracking
Author :
Bo Yang;Chao Liu;Philippe Poignet;Wenfeng Zheng;Shan Liu
Author_Institution :
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, 611731 China
fYear :
2015
Firstpage :
4875
Lastpage :
4878
Abstract :
A novel prediction method for robust beating heart tracking is proposed. The dual time-varying Fourier series is used to model the heart motion. The frequency parameters and Fourier coefficients in the model are estimated respectively by using a dual Kalman filter scheme. The instantaneous frequencies of breathing and heartbeat motion are measured online from the 3D trajectory of the point of interest using an orthogonal decomposition algorithm. The proposed method is evaluated based on both the simulated signals and the real motion signals, which are measured from the videos recorded using the da Vinci surgical system.
Keywords :
"Tracking","Frequency measurement","Kalman filters","Fourier series","Heart beat","Surgery"
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN :
1094-687X
Electronic_ISBN :
1558-4615
Type :
conf
DOI :
10.1109/EMBC.2015.7319485
Filename :
7319485
Link To Document :
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