Evidence map›Paper›PMID 37089421›Full record

ArticleFrontiers in physiology2023

Cardiac biophysical detailed synergetic modality rendering and visible correlation.

Fei Yang, Xiaoxi Wei, Bo Chen, Chenxi Li, Dong Li, Shugang Zhang, Weigang Lu, Lei Zhang

Abstract read
In one paragraph

Article in Frontiers in physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Fei YangSchool of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China.
Xiaoxi WeiSchool of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China.
Bo ChenSchool of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China.
Chenxi LiPizhou Power Supply Branch of State Grid Jiangsu Electric Power Co., Ltd., Pizhou, China.
Dong LiSchool of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China.
Shugang ZhangCollege of Computer Science and Technology, Ocean University of China, Qingdao, China.
Weigang LuDepartment of Educational Technology, Ocean University of China, Qingdao, China.
Lei ZhangDepartment of Radiology, University of Pittsburgh, Pittsburgh, PA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The heart is a vital organ in the human body. Research and treatment for the heart have made remarkable progress, and the functional mechanisms of the heart have been simulated and rendered through the construction of relevant models. The current methods for rendering cardiac functional mechanisms only consider one type of modality, which means they cannot show how different types of modality, such as physical and physiological, work together. To realistically represent the three-dimensional synergetic biological modality of the heart, this paper proposes a WebGL-based cardiac synergetic modality rendering framework to visualize the cardiac physical volume data and present synergetic correspondence rendering of the cardiac electrophysiological modality. By constructing the biological detailed interactive histogram, users can implement local details rendering for the heart, which could reveal the cardiac biology details more clearly. We also present cardiac physical-physiological correlation visualization to explore cardiac biological association characteristics. Experimental results show that the proposed framework can provide favorable cardiac biological detailed synergetic modality rendering results in terms of both effectiveness and efficiency. Compared with existing methods, the framework can facilitate the study of the internal mechanism of the heart and subsequently deduce the process of initiation, development, and transformation from a healthy heart to an ill one, and thereby improve the diagnosis and treatment of cardiac disorders.

Indexed as

biophysical detailcardiac synergetic configurationinteractive configuration histogramphysical and electrophysiological correlationWebGL-based rendering

Identifiers

PMID37089421
PMCPMC10119415

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.