The Human Heart Is Represented By A Graph Theoretical Network Model

The use of graph theory to the study of the human heart is presented in this paper. In addition to developing a model for the micro-cardiac network system, graph theory techniques are discussed. The major goal is to use network graph theory to analyze the human heart's blood flow system while taking both oxygenated and deoxygenated blood circulation into account. In an electrical circuit represented by a planar graph, the crossing number is found to be an essential parameter for accurate findings. This idea may help us comprehend the blood flow mechanism in the human heart. In addition, a technique to improve the performance of the model is introduced together with the stereographic projection of a graph. This research will definitely be beneficial.

Authors

Institutions

Publication Details

Journal
Louis Savenien Dupuis Journal of Multidisciplinary Research
Published
2024-12-31
DOI
https://doi.org/10.21839/lsdjmr.2024.v3.174
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Human Heart Is Represented By A Graph Theoretical Network Model

R. Nithya, P. Bavana
Louis Savenien Dupuis Journal of Multidisciplinary Research
Bioinformatics and Genomic Networks
article

The Human Heart Is Represented By A Graph Theoretical Network Model

R. Nithya, P. Bavana
article en

Abstract

The use of graph theory to the study of the human heart is presented in this paper. In addition to developing a model for the micro-cardiac network system, graph theory techniques are discussed. The major goal is to use network graph theory to analyze the human heart's blood flow system while taking both oxygenated and deoxygenated blood circulation into account. In an electrical circuit represented by a planar graph, the crossing number is found to be an essential parameter for accurate findings. This idea may help us comprehend the blood flow mechanism in the human heart. In addition, a technique to improve the performance of the model is introduced together with the stereographic projection of a graph. This research will definitely be beneficial.

Louis Savenien Dupuis Journal of Multidisciplinary Research
Immaculata University (US)
Openalex Percentile: Top 78%
Bioinformatics and Genomic Networks
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.