Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Regulation of Stroke Volume01:27

Regulation of Stroke Volume

3.4K
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...
3.4K
Atherosclerosis IV: Nursing Management01:23

Atherosclerosis IV: Nursing Management

35
Nursing management for a patient with arteriosclerosis involves a comprehensive approach focusing on lifestyle modification, disease monitoring, education, and symptomatic care. Here is an overview of effective nursing strategies:Assessment and Monitoring: Initial and ongoing assessments are crucial. Nurses must document the patient's medical history, including any hypertension, diabetes, hyperlipidemia, and other cardiovascular diseases. Assessments also cover family history and lifestyle...
35

You might also read

Related Articles

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

Sort by
Same author

Electroreductive 1,4-Hydro(deutero)arylation of 1,3-Enynes Enabled by Terephthalonitrile: Entry to Trisubstituted Allenes.

Organic letters·2025
Same author

Novel Fluorite-Structured Materials for Solid-State Refrigeration.

Small (Weinheim an der Bergstrasse, Germany)·2022
Same author

6-oxy-(acetyl piperazine) fluorescein as a new fluorescent labeling reagent for free fatty acids in serum using high-performance liquid chromatography.

Journal of chromatography. A·2007
Same author

Synthesis and fluorescence properties of 5,7-diphenylquinoline and 2,5,7-triphenylquinoline derived from m-terphenylamine.

Molecules (Basel, Switzerland)·2007
Same author

[Metabolic engineering of terpenoids in plants].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology·2007
Same author

Hedgehog signaling in the murine melanoma microenvironment.

Angiogenesis·2007

Related Experiment Video

Updated: Aug 12, 2025

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

17.3K

Management for stroke intelligent early warning empowered by big data.

Xiaoyong Chen1, Boxiong Yang2, Shuai Zhao1

  • 1School of Health Industry Management, University of Sanya, Sanya, China.

Computers & Electrical Engineering : an International Journal
|January 30, 2023
PubMed
Summary

Big data and AI enhance stroke detection. This digital health management approach offers real-time monitoring and early warning systems for improved patient outcomes.

Keywords:
Big dataDisease risk perceptionHealth managementIntelligent monitoringStroke warning

More Related Videos

Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients
07:42

Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients

Published on: December 16, 2022

3.0K
Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
09:21

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke

Published on: January 18, 2018

12.1K

Related Experiment Videos

Last Updated: Aug 12, 2025

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

17.3K
Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients
07:42

Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients

Published on: December 16, 2022

3.0K
Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
09:21

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke

Published on: January 18, 2018

12.1K

Area of Science:

  • Digital health
  • Biomedical engineering
  • Public health

Background:

  • The aging global population and the COVID-19 pandemic have heightened concerns for human health security.
  • Stroke remains a significant life-threatening disorder, necessitating advanced management and early detection strategies.

Purpose of the Study:

  • To investigate the application of digital information technology, big data, and artificial intelligence (AI) in individual health management and stroke risk perception.
  • To develop an effective method for real-time stroke monitoring, early warning, and rescue to improve treatment outcomes.

Main Methods:

  • Utilizing a human health assessment model incorporating wearable wireless sensors and the Internet of Things (IoT).
  • Leveraging big data analytics and AI for potential risk monitoring and real-time stroke warning.
  • Implementing a comprehensive monitoring, early warning, and rescue system.

Main Results:

  • The study demonstrated that big data-empowered health management provides novel opportunities for stroke detection and warning.
  • The proposed system enables effective real-time monitoring and early warning for stroke patients.

Conclusions:

  • Digital health technologies, particularly big data and AI, are crucial for addressing challenges posed by an aging population and pandemics.
  • This approach offers a promising solution for early stroke detection, warning, and improved patient care.