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

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.7K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.7K
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

867
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
867
Integrated Healthcare System01:20

Integrated Healthcare System

1.6K
An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
1.6K
Current Trends in Nursing II01:30

Current Trends in Nursing II

1.2K
Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
1.2K

You might also read

Related Articles

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

Sort by
Same author

Emergency packets handing in queue aware congestion avoidance schemes in IoHT.

PloS one·2026
Same author

V-ATPase A Is a Key Protein Involved in the Toxicity of <i>Bacillus thuringiensis</i> Cry39Ab1 in <i>Bradysia odoriphaga</i> (Diptera: Sciaridae).

Insects·2026
Same author

Isolation, characterization and virulence of Beauveria bassiana strain SPT35 against the wood-boring beetle, Aromia bungii.

Pest management science·2026
Same author

A new highly discriminatory typing scheme for <i>Treponema pallidum</i> reveals similar levels of genetic variability across lineages.

mBio·2026
Same author

Case report: an underdiagnosed multifocal ectopic Purkinje-related premature contractions caused by SCN5A mutation.

BMC cardiovascular disorders·2026
Same author

A Low-Sidelobe Fully Metallic Ridge Gap Waveguide Antenna Array for W-Band Applications.

Sensors (Basel, Switzerland)·2026

Related Experiment Video

Updated: Jul 15, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.8K

Fuzzy-Based Efficient Healthcare Data Collection and Analysis Mechanism Using Edge Nodes in the IoMT.

Muhammad Nafees Ulfat Khan1, Zhiling Tang2, Weiping Cao2

  • 1School of Information and Communication Engineering, Guilin University of Electronic Technology, Guilin 541004, China.

Sensors (Basel, Switzerland)
|September 28, 2023
PubMed
Summary

This study introduces a Fuzzy Data Aggregation System (FDAS) to efficiently manage redundant data in Internet of Things (IoT) health applications. FDAS reduces energy consumption and improves network performance by intelligently aggregating sensor data.

Keywords:
FISInternet of Things (IoT)data aggregationfuzzy logichealthcaremember functions

More Related Videos

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.3K
Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
07:13

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

4.3K

Related Experiment Videos

Last Updated: Jul 15, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.8K
Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.3K
Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
07:13

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

4.3K

Area of Science:

  • Computer Science
  • Health Informatics
  • Network Engineering

Background:

  • The Internet of Things (IoT) is increasingly used in healthcare for data collection.
  • Redundant data transmission from IoT sensors in healthcare leads to increased energy consumption and network overhead.
  • Existing systems lack mechanisms to effectively handle duplicate data, impacting network performance.

Purpose of the Study:

  • To propose a Fuzzy Data Aggregation System (FDAS) for efficient data aggregation in IoT health applications.
  • To reduce energy consumption and enhance network performance by addressing the challenge of redundant data.
  • To improve the lifespan and stability of heterogeneous IoT networks in healthcare.

Main Methods:

  • Implemented a Fuzzy Data Aggregation System (FDAS) utilizing fuzzy logic for parent node selection.
  • Developed a mechanism to identify and flag redundant data values using Boolean digits.
  • Stored redundant data in a repository for potential future use, optimizing transmission.
  • Validated the FDAS performance using a network simulator against base schemes.

Main Results:

  • FDAS significantly reduces energy consumption in both data transmission phases.
  • The system achieves superior data aggregation compared to existing methods.
  • FDAS demonstrably lowers control overhead and minimizes required transmission slots.
  • The proposed system maintains stable efficiency even in complex network environments.

Conclusions:

  • FDAS effectively mitigates issues associated with redundant data in IoT healthcare systems.
  • The proposed system enhances network lifespan and performance through optimized energy usage and data handling.
  • FDAS offers a robust solution for efficient data aggregation in heterogeneous IoT environments.