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

Temperature Measurement Sites01:14

Temperature Measurement Sites

1.6K
A thermometer measures body temperature. The common sites for measuring body temperature are the oral cavity, axillary region, temporal artery, and skin surface, such as the forehead, abdomen, and axilla. True core body temperature is assessed in the rectum, tympanic membrane, pulmonary artery, esophagus, and urinary bladder.
Oral: When assessing oral temperature, the thermometer tip should be placed under the tongue in the posterior sublingual pocket. It offers accurate readings and can be...
1.6K
Assessing Body Temperature - Temporal Artery01:19

Assessing Body Temperature - Temporal Artery

536
Here is a stepwise guide to assessing the body temperature at the temporal artery using a temporal artery thermometer
Step 1: Perform hand hygiene and don a fresh pair of gloves to prevent cross-infection and ensure patient safety.
Step 2: Explain the procedure to the patient to establish trust. Clear communication establishes trust with the patient, ensures they understand what to expect, promotes cooperation, and enhances comfort during the procedure.  
Step 3: Assess the patient's...
536
Equipments Used to Measure Body Temperature01:13

Equipments Used to Measure Body Temperature

983
Body temperature can be assessed using various devices and measured in Celsius or Fahrenheit.
Glass-bulb Thermometer:
Glass-bulb thermometers are hollow glass tubes with a bulb tip containing liquid such as ethanol or mercury. Historically, glass bulb mercury thermometers were the standard device to measure body temperature. Today, mercury thermometers are prohibited in many countries due to the hazardous effects of mercury and the risk of exposure if the glass bulb breaks. In general,...
983
Factors Affecting Body Temperature01:28

Factors Affecting Body Temperature

4.0K
As a nurse, it is vital to understand the factors affecting body temperature to monitor variations and effectively evaluate deviations from regular.
Factors may  include:
4.0K

You might also read

Related Articles

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

Sort by
Same author

Explainable AI with EDA for V2I path loss prediction.

Scientific reports·2026
Same author

Machine learning for improved path loss prediction in urban vehicle-to-infrastructure communication systems.

Frontiers in artificial intelligence·2025
Same author

Certolizumab-Induced Urticarial Vasculitis: A Case Report.

Current drug safety·2025
Same author

Caffeine-induced fixed drug eruption: evidence from a positive patch test.

The British journal of dermatology·2024
Same author

<i>In vitro</i> Antileishmanial Activity and <i>In silico</i> Molecular Modeling Studies of Novel Analogs of Dermaseptins S4 and B2.

Current pharmaceutical biotechnology·2024
Same author

Enhanced fingerprint classification through modified PCA with SVD and invariant moments.

Frontiers in artificial intelligence·2024

Related Experiment Video

Updated: Jun 16, 2025

Open-Source Miniature Fluorimeter to Monitor Real-Time Isothermal Nucleic Acid Amplification Reactions in Resource-Limited Settings
09:36

Open-Source Miniature Fluorimeter to Monitor Real-Time Isothermal Nucleic Acid Amplification Reactions in Resource-Limited Settings

Published on: February 3, 2021

4.8K

Real-time temperature anomaly detection in vaccine refrigeration systems using deep learning on a

Mokhtar Harrabi1, Abdelaziz Hamdi2, Bouraoui Ouni2

  • 1Department of Computer Engineering ISITCOM, University of Sousse, Sousse, Tunisia.

Frontiers in Artificial Intelligence
|August 16, 2024
PubMed
Summary

A new deep learning system accurately detects temperature faults in vaccine refrigerators. This real-time monitoring ensures vaccine safety by identifying anomalies early, improving cold chain management.

Keywords:
anomaly detectionconvolutional auto encoderdeep learningreal-time monitoringrefrigeration systemsvaccine

More Related Videos

Construction of a Low-cost Mobile Incubator for Field and Laboratory Use
07:50

Construction of a Low-cost Mobile Incubator for Field and Laboratory Use

Published on: March 19, 2019

14.0K
Mouse Body Temperature Measurement Using Infrared Thermometer During Passive Systemic Anaphylaxis and Food Allergy Evaluation
04:34

Mouse Body Temperature Measurement Using Infrared Thermometer During Passive Systemic Anaphylaxis and Food Allergy Evaluation

Published on: September 14, 2018

25.5K

Related Experiment Videos

Last Updated: Jun 16, 2025

Open-Source Miniature Fluorimeter to Monitor Real-Time Isothermal Nucleic Acid Amplification Reactions in Resource-Limited Settings
09:36

Open-Source Miniature Fluorimeter to Monitor Real-Time Isothermal Nucleic Acid Amplification Reactions in Resource-Limited Settings

Published on: February 3, 2021

4.8K
Construction of a Low-cost Mobile Incubator for Field and Laboratory Use
07:50

Construction of a Low-cost Mobile Incubator for Field and Laboratory Use

Published on: March 19, 2019

14.0K
Mouse Body Temperature Measurement Using Infrared Thermometer During Passive Systemic Anaphylaxis and Food Allergy Evaluation
04:34

Mouse Body Temperature Measurement Using Infrared Thermometer During Passive Systemic Anaphylaxis and Food Allergy Evaluation

Published on: September 14, 2018

25.5K

Area of Science:

  • Artificial Intelligence
  • Refrigeration Engineering
  • Vaccine Storage Technology

Background:

  • Consistent temperature is crucial for vaccine efficacy and safety.
  • Traditional monitoring systems lack real-time capabilities and sensitivity to subtle temperature fluctuations.
  • Current methods may not adequately prevent vaccine spoilage due to undetected anomalies.

Purpose of the Study:

  • To develop a novel deep learning system for real-time temperature fault detection in vaccine refrigeration.
  • To implement a resource-efficient system suitable for constrained environments.
  • To enhance the reliability of vaccine cold chain management.

Main Methods:

  • Utilized a semi-supervised Convolutional Autoencoder (CAE) deep learning model.
  • Deployed the CAE on a resource-constrained ESP32 microcontroller.
  • Trained the model on real-world temperature data to detect deviations from normal profiles.

Main Results:

  • Achieved 92% accuracy in identifying temperature faults in real-time evaluations.
  • Demonstrated low energy consumption (0.05 watts) and memory usage (1.2 MB).
  • Successfully captured temporal patterns and reconstructed normal temperature profiles.

Conclusions:

  • The deep learning system offers effective real-time temperature fault detection for vaccine storage.
  • The system's efficiency makes it ideal for resource-limited settings.
  • This advancement supports improved cold chain integrity and vaccine safety.