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

Data Collection I

Data Collection I

Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of data...

Methods of Documentation II: POMR

Methods of Documentation II: POMR

The Problem-Oriented Medical Record (POMR) revolutionized medical record-keeping by introducing a systematic approach focusing on the patient's problems rather than merely listing symptoms. Dr. Lawrence Weed's introduction of this method in the 1960s marked a significant advancement in medical documentation. The POMR framework consists of four key components: the database, problem list, plan of care, and progress notes.

Ethical Standards I

Ethical Standards I

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,...

Aggregates Classification

Aggregates Classification

Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...

Unsoundness of Aggregate due to Volume Change

Unsoundness of Aggregate due to Volume Change

Unsoundness in aggregates due to volume changes is primarily caused by the physical alterations aggregates undergo, such as freezing and thawing, thermal changes, and wetting and drying. Unsound aggregates, when subjected to these changes, result in volume change upon disintegration. This, in turn, contributes to the deterioration of concrete, including scaling, pop-outs, and cracking. Particular types of aggregates, such as porous flints, cherts, and those containing clay minerals, are...

Maximum Size of Aggregate

Maximum Size of Aggregate

The maximum size of aggregate is defined as the aperture of the sieve retaining 15 percent or more of the particles present in the aggregate sample. The aggregate's maximum size impacts the concrete's water requirement, workability, and strength. Larger aggregates reduce the surface area needing cement paste coverage, which can lower water needs, thereby allowing a decrease in the water-to-cement ratio when the desired workability and richness of the mix are to be maintained, which can result...

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

A systematic review on colon cancer classification by convolutional neural networks: Architecture, accuracy, and research directions.

Digital health·2026

Same author

A sperm racetrack to separate sperm by swim speed.

Lab on a chip·2026

Same author

SH-IDS: a resilient self-healing intrusion detection framework against DoS and DDoS attacks in IoT systems.

Scientific reports·2026

Same author

Methodological Considerations in Assessing HALP Score as a Prognostic Marker in Rheumatic Mitral Stenosis.

Clinical cardiology·2026

Same author

Efficacy of local convection enhanced delivery of chemotherapy using an intracerebral osmotic pump in a rat model of glioblastoma.

Frontiers in oncology·2026

Search research articles

Related Experiment Video

Updated: May 12, 2026

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments

Published on: January 20, 2022

A secure and privacy preserved data aggregation scheme in IoMT.

Muhammad Arif Mughal^1,2, Ata Ullah³, Xinbo Yu^1,2

¹School of Intelligence Science and Technology, University of Science and Technology Beijing, Beijing 100083, China.

|April 11, 2024

Summary

This study introduces a Secure Aggregated Data Collection and Transmission (SADCT) system for the Internet of Medical Things (IoMT). SADCT enhances patient data security and privacy by anonymizing mobile devices and fog nodes.

Keywords:

Anonymity Authentication Data aggregation Healthcare IoT Key establishment

More Related Videos

Data Communication Based on MQTT in a Polymer Extrusion Process

Data Communication Based on MQTT in a Polymer Extrusion Process

Published on: July 15, 2022

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

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

Published on: July 14, 2023

Related Experiment Videos

Last Updated: May 12, 2026

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments

Published on: January 20, 2022

Data Communication Based on MQTT in a Polymer Extrusion Process

Data Communication Based on MQTT in a Polymer Extrusion Process

Published on: July 15, 2022

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

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

Published on: July 14, 2023

Area of Science:

Computer Science
Healthcare Technology
Cybersecurity

Background:

The Internet of Medical Things (IoMT) utilizes wearable sensors for healthcare data collection, posing significant security and privacy challenges.
Existing secure data sharing schemes often fail to adequately anonymize patient identities during data transmission to central repositories.

Purpose of the Study:

To propose a novel secure data sharing mechanism for IoMT systems that ensures patient anonymity.
To address the limitations of current methods in protecting patient identity in transmitted healthcare data.

Main Methods:

Development of a Secure Aggregated Data Collection and Transmission (SADCT) scheme.
Implementation of a novel data aggregation algorithm on mobile devices and a data extraction algorithm on fog nodes.
Inclusion of an authenticated server for secure node registration and authentication.

Main Results:

The SADCT scheme provides anonymity for patient mobile devices and intermediate fog nodes.
Extensive simulations in NS validated the proposed scheme.
Security analysis confirmed the effectiveness of the SADCT approach.

Conclusions:

SADCT demonstrates superior performance in energy consumption, storage, communication, and computational costs compared to existing methods.
The proposed scheme effectively enhances the security and privacy of healthcare data in IoMT environments.