Table of Contents Author Guidelines Submit a Manuscript
BioMed Research International
Volume 2016, Article ID 2979081, 8 pages
Research Article

Depth Attenuation Degree Based Visualization for Cardiac Ischemic Electrophysiological Feature Exploration

1School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai 264200, China
2School of Art and Design, Harbin University, Harbin 150086, China
3Department of Educational Technology, Ocean University of China, Qingdao 266100, China
4Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
5School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China
6School of Physics and Astronomy, University of Manchester, Manchester M139PL, UK

Received 3 June 2016; Revised 21 September 2016; Accepted 11 October 2016

Academic Editor: Qin Ma

Copyright © 2016 Fei Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Although heart researches and acquirement of clinical and experimental data are progressively open to public use, cardiac biophysical functions are still not well understood. Due to the complex and fine structures of the heart, cardiac electrophysiological features of interest may be occluded when there is a necessity to demonstrate cardiac electrophysiological behaviors. To investigate cardiac abnormal electrophysiological features under the pathological condition, in this paper, we implement a human cardiac ischemic model and acquire the electrophysiological data of excitation propagation. A visualization framework is then proposed which integrates a novel depth weighted optic attenuation model into the pathological electrophysiological model. The hidden feature of interest in pathological tissue can be revealed from sophisticated overlapping biophysical information. Experiment results verify the effectiveness of the proposed method for intuitively exploring and inspecting cardiac electrophysiological activities, which is fundamental in analyzing and explaining biophysical mechanisms of cardiac functions for doctors and medical staff.