Beating Heart Motion Accurate Prediction Method Based on Interactive Multiple Model: An Information Fusion Approach

Joint Authors

Liang, Fan
Xie, Weihong
Yu, Yang

Source

BioMed Research International

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-10-15

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Medicine

Abstract EN

Robot-assisted motion compensated beating heart surgery has the advantage over the conventional Coronary Artery Bypass Graft (CABG) in terms of reduced trauma to the surrounding structures that leads to shortened recovery time.

The severe nonlinear and diverse nature of irregular heart rhythm causes enormous difficulty for the robot to realize the clinic requirements, especially under arrhythmias.

In this paper, we propose a fusion prediction framework based on Interactive Multiple Model (IMM) estimator, allowing each model to cover a distinguishing feature of the heart motion in underlying dynamics.

We find that, at normal state, the nonlinearity of the heart motion with slow time-variant changing dominates the beating process.

When an arrhythmia occurs, the irregularity mode, the fast uncertainties with random patterns become the leading factor of the heart motion.

We deal with prediction problem in the case of arrhythmias by estimating the state with two behavior modes which can adaptively “switch” from one to the other.

Also, we employed the signal quality index to adaptively determine the switch transition probability in the framework of IMM.

We conduct comparative experiments to evaluate the proposed approach with four distinguished datasets.

The test results indicate that the new proposed approach reduces prediction errors significantly.

American Psychological Association (APA)

Liang, Fan& Xie, Weihong& Yu, Yang. 2017. Beating Heart Motion Accurate Prediction Method Based on Interactive Multiple Model: An Information Fusion Approach. BioMed Research International،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1133805

Modern Language Association (MLA)

Liang, Fan…[et al.]. Beating Heart Motion Accurate Prediction Method Based on Interactive Multiple Model: An Information Fusion Approach. BioMed Research International No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1133805

American Medical Association (AMA)

Liang, Fan& Xie, Weihong& Yu, Yang. Beating Heart Motion Accurate Prediction Method Based on Interactive Multiple Model: An Information Fusion Approach. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1133805

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1133805