Evidence map›Paper›PMID 28595607›Full record

ArticleBiomedical engineering online2017

A composite visualization method for electrophysiology-morphous merging of human heart.

Fei Yang, Lei Zhang, Weigang Lu, Yue Zhang, Wangmeng Zuo, Kuanquan Wang, Henggui Zhang

Open access · goldAbstract read
In one paragraph

Article in Biomedical engineering online, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Fei YangSchool of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, China.
Lei ZhangSchool of Art and Design, Harbin University, Harbin, China.
Weigang LuDepartment of Educational Technology, Ocean University of China, Qingdao, China. luweigang@ouc.edu.cn.ORCID http://orcid.org/0000-0001-6519-7850
Yue ZhangSchool of Computer Science and Technology, Harbin Institute of Technology, Harbin, China.
Wangmeng ZuoSchool of Computer Science and Technology, Harbin Institute of Technology, Harbin, China.
Kuanquan WangSchool of Computer Science and Technology, Harbin Institute of Technology, Harbin, China.
Henggui ZhangSchool of Computer Science and Technology, Harbin Institute of Technology, Harbin, China.
Harbin Institute of Technology · CNHarbin University · CNOcean University of China · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectrophysiological behavior is of great importance for analyzing the cardiac functional mechanism under cardiac physiological and pathological condition. Due to the complexity of cardiac structure and biophysiological function, visualization of a cardiac electrophysiological model compositively is still a challenge. The lack of either modality of the whole organ structure or cardiac electrophysiological behaviors makes analysis of the intricate mechanisms of cardiac dynamic function a difficult task. This study aims at exploring 3D conduction of stimulus and electrical excitation reactivity on the level of organ with the authentic fine cardiac anatomy structure.

methodsIn this paper, a cardiac electrical excitation propagation model is established based on the human cardiac cross-sectional data to explore detailed cardiac electrical activities. A novel biophysical merging visualization method is then presented for biophysical integration of cardiac anatomy and electrophysiological properties in the form of the merging optical model, which provides the corresponding position, spatial relationship and the whole process in 3D space with the context of anatomical structure for representing the biophysical detailed electrophysiological activity.

resultsThe visualization result present the action potential propagation of the left ventricle within the excitation cycle with the authentic fine cardiac organ anatomy. In the visualized images, all vital organs are identified and distinguished without ambiguity. The three dimensional spatial position, relation and the process of cardiac excitation conduction and re-entry propagation in the anatomical structure during the phase of depolarization and repolarization is also shown in the result images, which exhibits the performance of a more detailed biophysical understanding of the electrophysiological kinetics of human heart in vivo.

conclusionsResults suggest that the proposed merging optical model can merge cardiac electrophysiological activity with the anatomy structure. By specifying the respective opacity for the cardiac anatomy structure and the electrophysiological model in the merging attenuation function, the visualized images can provide an in-depth insight into the biophysical detailed cardiac functioning phenomena and the corresponding electrophysiological behavior mechanism, which is helpful for further speculating cardiac physiological and pathological responses and is fundamental to the cardiac research and clinical diagnoses.

Indexed as

Electrophysiological PhenomenaModels, CardiovascularCross-Sectional StudiesHeartHeart Conduction SystemHumansMagnetic Resonance ImagingTomography, X-Ray ComputedBiophysical mergingCardiac biophysiological functionComputational cardiologyMerging attenuation modelMorphous

Identifiers

PMID28595607
PMCPMC5465514
OpenAlexW2622401454

What Socratic holds

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.