Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Regulation of Stroke Volume

Regulation of Stroke Volume

The regulation of stroke volume, which is the amount of blood the heart pumps out during each heartbeat, is critical for maintaining a healthy circulatory system. Stroke volume is influenced by three main factors: preload, contractility, and afterload.
Preload refers to the degree of stretch on the heart before it contracts. It's analogous to the stretching of a rubber band; the more it's stretched, the more forcefully it snaps back. This concept is encapsulated in the Frank-Starling law of the...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Research on Network Model of Dentate Gyrus Based on Bionics.

Journal of healthcare engineering·2021

Same author

Development and characterization of monoclonal antibodies to spring viraemia of carp virus.

Veterinary immunology and immunopathology·2008

Same author

Electrophysiological characterization of a novel Kv channel blocker N,N'-[oxybis(2,1-ethanediyloxy-2,1-ethanediyl) ]bis(4-methyl)-benzenesulfonamide found in virtual screening.

Acta pharmacologica Sinica·2008

Same author

Cloning and characterization of an rRNA methyltransferase from Sorangium cellulosum.

Biochemical and biophysical research communications·2008

Same author

Reconstruction of anophthalmic orbits and contracted eye sockets with microvascular radial forearm free flaps.

Ophthalmic plastic and reconstructive surgery·2008

Same author

Using low intensity ultrasound to improve the efficiency of biological phosphorus removal.

Ultrasonics sonochemistry·2008

Search research articles

Related Experiment Video

Updated: Nov 9, 2025

A Thrombotic Stroke Model Based On Transient Cerebral Hypoxia-ischemia

A Thrombotic Stroke Model Based On Transient Cerebral Hypoxia-ischemia

Published on: August 18, 2015

Research on Medical Knowledge Graph for Stroke.

Binjie Cheng¹, Jin Zhang¹, Hong Liu¹

¹College of Information Science and Engineering, Hunan Normal University, Changsha 410081, China.

Journal of Healthcare Engineering

|April 9, 2021

Summary

This study introduces a novel medical knowledge graph for stroke diseases, enhancing data analysis and disease understanding. The developed model integrates diverse data sources for improved stroke research and clinical applications.

More Related Videos

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

Related Experiment Videos

Last Updated: Nov 9, 2025

A Thrombotic Stroke Model Based On Transient Cerebral Hypoxia-ischemia

A Thrombotic Stroke Model Based On Transient Cerebral Hypoxia-ischemia

Published on: August 18, 2015

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

Area of Science:

Medical Informatics
Artificial Intelligence in Medicine
Neurology

Background:

Knowledge graphs offer powerful data analysis capabilities, particularly in specialized fields like medicine.
Existing research has explored medical knowledge graphs, but applications specifically for stroke diseases remain limited.
A dedicated medical knowledge graph for stroke is needed to advance understanding and analysis of this condition.

Purpose of the Study:

To construct a comprehensive medical knowledge graph model specifically for stroke diseases.
To integrate diverse data sources and enhance knowledge representation for stroke-related information.
To evaluate the performance of the proposed stroke knowledge graph in analyzing real-world stroke data.

Main Methods:

Development of a stroke disease dictionary and ontology database using standard medical terms and crowdsourced data.
Entity linking of external data to the knowledge graph nodes using similarity measures.
Knowledge representation through knowledge graph embedding models and iterative structural updates.

Main Results:

Successful construction of a stroke-specific medical knowledge graph integrating curated and external data.
Demonstration of effective knowledge representation and iterative refinement of the graph structure.
Validation of the knowledge graph's utility through application to real stroke data and comparison with Trans* models.

Conclusions:

The developed stroke medical knowledge graph provides a robust framework for analyzing stroke-related data.
This approach enhances the potential for deeper insights into stroke disease characteristics and patterns.
The study highlights the value of specialized knowledge graphs in advancing medical research and applications for complex diseases like stroke.