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Related Concept Videos

Body Temperature01:07

Body Temperature

408
Body temperature reflects the equilibrium between heat production and heat loss within the body. Most heat is generated by metabolically active tissues, particularly the liver, heart, brain, kidneys, and endocrine organs. At rest, skeletal muscles contribute 20–30% of total heat production, but during vigorous exercise, this can increase up to 30–40 times.
The average body temperature is approximately 37°C (98.6°F) and typically ranges from 36.1–37.2°C...
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Assessing Body Temperature - Temporal Artery01:19

Assessing Body Temperature - Temporal Artery

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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...
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Quantifying Heat02:46

Quantifying Heat

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Thermal Energy Microscopically, thermal energy is the kinetic energy associated with the random motion of atoms and molecules. Temperature is a quantitative measure of “hot” or “cold”, which depends on the amount of thermal energy. When the atoms and molecules in an object are moving or vibrating quickly, they have a higher average kinetic energy (KE) (or higher thermal energy), and the object is perceived as “hot”, or it is described as being at a...
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Factors Affecting Body Temperature01:28

Factors Affecting Body Temperature

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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:
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Decreased Body Temperature01:29

Decreased Body Temperature

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A decreased body temperature can occur in patients with hypothermia and frostbite. Heat loss with extended cold exposure overpowers the body's ability to create heat, resulting in hypothermia. Core temperature readings help classify hypothermia. Mild hypothermia is temperatures between 32 °C (89.6 °F) and 35°C (95 °F) and is caused by impaired thermoregulation. Moderate hypothermia is temperatures between 28 C (82.4 °F) and 32 °C (89.6 °F) caused by...
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Thermoregulation01:26

Thermoregulation

1.1K
The human body has a sophisticated thermoregulation system that employs negative feedback mechanisms to maintain an optimal core temperature. When the core temperature drops, peripheral and central thermoreceptors send signals to the hypothalamus, activating the heat-promoting center. This center triggers several responses aimed at increasing the core temperature. First, vasoconstriction reduces the flow of warm blood from internal organs to the skin so that the heat is not lost from the skin,...
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Related Experiment Video

Updated: Aug 7, 2025

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics
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Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics

Published on: December 1, 2023

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Predicting brain temperature in humans using bioheat models: Progress and outlook.

Dongsuk Sung1,2, Abinand Rejimon1,2, Jason W Allen1,2,3

  • 1Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.

Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism
|March 8, 2023
PubMed
Summary

Accurate brain temperature measurement is difficult. Computational thermal models using bioheat equations offer a promising, non-invasive approach for predicting brain temperature and advancing clinical applications.

Keywords:
Brain thermal modelbioheat equationsbrain temperaturetherapeutic hypothermiathermal ablation

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Thermal Physiology

Background:

  • Brain temperature is crucial for neural activity, cerebral blood flow, and neuroinflammation.
  • Current methods for measuring brain temperature are often invasive or unreliable.
  • Accurate thermoregulation is vital in both healthy and diseased states.

Purpose of the Study:

  • To review the progress and current state-of-the-art in computational brain thermal modeling.
  • To explore the potential clinical applications of these advanced modeling techniques.

Main Methods:

  • Utilizing bioheat equations to develop computational thermal models.
  • Focusing on non-invasive methods for predicting brain temperature in humans.

Main Results:

  • Computational models show significant progress in predicting brain temperature.
  • These models offer a viable alternative to invasive thermometry.

Conclusions:

  • Brain thermal modeling is advancing rapidly, addressing a critical gap in clinical thermometry.
  • Further development holds promise for improved diagnosis and treatment across various neurological conditions.