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

Ethical Standards I01:25

Ethical Standards I

912
The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
The Code of Ethics provisions outline the nurse's duty to the patient, the healthcare team, the profession, and society. The Code's fundamental principles include advocacy,...
912
Bacterial Signaling01:30

Bacterial Signaling

33.6K
Bacterial signaling can occur within bacteria (intracellular) or between bacteria (intercellular). At times, a group of bacteria behaves like a community. To achieve this, they engage in quorum sensing, the perception of higher cell density that causes changes in gene expression. Quorum sensing involves both extracellular and intracellular signaling. The signaling cascade starts with a molecule called an autoinducer (AI). Individual bacteria produce AIs that move out of the bacterial cell...
33.6K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.8K
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...
5.8K
Integrated Healthcare System01:20

Integrated Healthcare System

1.8K
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,...
1.8K
Healthcare Associated Infections II: Preventive Measures01:22

Healthcare Associated Infections II: Preventive Measures

2.7K
Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
2.7K
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

897
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
897

You might also read

Related Articles

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

Sort by
Same author

Performance of AI in Predicting the Progression of Gestational Diabetes to Type 2 Diabetes: Systematic Review and Meta-Analysis.

Journal of medical Internet research·2026
Same author

Knowledge, attitudes, and practices of pre-hospital emergency medical care practitioners regarding sepsis recognition: a cross-sectional study in Qatar.

BMC emergency medicine·2026
Same author

Gene Regulatory Networks for Enhanced Vision-Based Robot Control: A Bio-Inspired Approach.

Sensors (Basel, Switzerland)·2026
Same author

Interfacility Transport of Emergency Patients by Helicopter Emergency Medical Services Versus Ground Emergency Medical Services.

Prehospital emergency care·2026
Same author

Simulation-Based Education for Extracorporeal Membrane Oxygenation and Strategies for Implementation: A Systematic Scoping Review.

Simulation in healthcare : journal of the Society for Simulation in Healthcare·2025
Same author

Predictive modelling in times of public health emergencies: patients' non-transport decisions during the COVID-19 pandemic.

BMC emergency medicine·2025

Related Experiment Video

Updated: Aug 22, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.3K

Secure Bluetooth Communication in Smart Healthcare Systems: A Novel Community Dataset and Intrusion Detection System.

Mohammed Zubair1,2, Ali Ghubaish3, Devrim Unal1

  • 1Kindi Center for Computing Research, Qatar University, Doha P.O. Box 2713, Qatar.

Sensors (Basel, Switzerland)
|November 11, 2022
PubMed
Summary

This study introduces a new deep learning method to detect and block cyber-attacks on Internet of Medical Things (IoMT) devices using Bluetooth. The developed system achieves high accuracy, enhancing smart healthcare security.

Keywords:
Bluetoothartificial intelligencecommunication securitysmart city networkswireless communications

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

1.4K
Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

9.0K

Related Experiment Videos

Last Updated: Aug 22, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.3K
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

1.4K
Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

9.0K

Area of Science:

  • Cybersecurity in healthcare
  • Internet of Medical Things (IoMT) security
  • Artificial Intelligence (AI) and Deep Learning (DL) applications

Background:

  • Smart health systems utilize numerous Internet of Medical Things (IoMT) devices, expanding the attack surface.
  • Bluetooth is commonly used for short-range communication in IoMT devices within smart cities.
  • Securing IoMT networks is crucial for critical healthcare infrastructures.

Purpose of the Study:

  • To present a decentralized, predictive, deep learning (DL)-based process for autonomous detection and blocking of malicious traffic in IoMT networks.
  • To introduce the BlueTack dataset, the first intrusion detection dataset for Bluetooth Classic and Bluetooth Low Energy (BLE) attacks against IoMT.
  • To propose a multi-layer intrusion detection system deployed on edge nodes for smart healthcare in smart cities.

Main Methods:

  • Development of a decentralized, predictive, DL-based intrusion detection system.
  • Creation and utilization of the BlueTack dataset for training and evaluating the detection models.
  • Implementation of a multi-layer intrusion detection approach using deep learning techniques.

Main Results:

  • The proposed multi-layer intrusion detection models achieved high performance, with F1 scores ranging from 97% to 99.5%.
  • The BlueTack dataset provides a novel resource for researching Bluetooth-based attacks in IoMT environments.
  • A decentralized architecture for edge deployment in smart healthcare systems was successfully proposed.

Conclusions:

  • The developed DL-based intrusion detection system offers an effective end-to-end defense against network attacks in IoMT devices.
  • The BlueTack dataset and the proposed detection method significantly advance the security of Bluetooth-enabled IoMT networks in smart healthcare.
  • Decentralized edge deployment of AI-driven security solutions is feasible and effective for smart city healthcare infrastructures.