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

Temperature Measurement Sites

Temperature Measurement Sites

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...

Assessing Body Temperature - Temporal Artery

Assessing Body Temperature - Temporal Artery

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 forehead...

Thermosensation

Thermosensation

Peripheral thermosensation is the perception of external temperature. A change in temperature (on the surface of the skin and other tissues) is detected by a family of temperature-sensitive ion channels called Transient Receptor Potential, or TRP, receptors. These receptors are located on free nerve endings. Those detecting cold temperatures are closer to the surface of the skin than the nerve endings detecting warmth. These thermoTRP channels, while temperature selective, have relatively...

Linear Approximation in Time Domain

Linear Approximation in Time Domain

Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length, the...

Application of Linearization and Approximation

Application of Linearization and Approximation

A drone flying through complex terrain often relies on more than one sensing method to estimate small changes in altitude. Along with direct measurements, air pressure provides a useful indirect indicator of vertical movement. Atmospheric pressure decreases as altitude increases, and this relationship is commonly described using an exponential model. Although accurate, converting pressure measurements into altitude values requires calculations that are too complex to perform repeatedly during...

Temperature Dependent Deformation

Temperature Dependent Deformation

In a nonhomogeneous rod made up of steel and brass, restrained at both ends and subjected to a temperature change, several steps are involved in calculating the stress and compressive load. Due to the problem's static indeterminacy, one end support is disconnected, allowing the rod to experience the temperature change freely. Next, an unknown force is applied at the free end, triggering deformations in the rod's steel and brass portions. These deformations are then calculated and added together...

You might also read

Related Articles

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

Sort by

Same author

Brazilian national telediagnosis platform: a data report for scientific research and public health improvement.

Frontiers in digital health·2026

Same author

Classifier Combination Supported by the Sleep-Wake Cycle Improves EEG Seizure Prediction Performance.

IEEE transactions on bio-medical engineering·2024

Same author

A Data-Driven Approach for Estimating Temperature Variations Based on B-mode Ultrasound Images and Changes in Backscattered Energy.

Ultrasonic imaging·2023

Same author

Quadratic versus linear models to estimate the mean scattering spacing as a function of temperature in ex-vivo tissue.

Ultrasonics·2023

Same author

The goal of explaining black boxes in EEG seizure prediction is not to explain models' decisions.

Epilepsia open·2023

Same author

Unsupervised EEG preictal interval identification in patients with drug-resistant epilepsy.

Scientific reports·2023

Search research articles

Related Experiment Video

Updated: Jul 7, 2026

Near-Infrared Temperature Measurement Technique for Water Surrounding an Induction-heated Small Magnetic Sphere

Near-Infrared Temperature Measurement Technique for Water Surrounding an Induction-heated Small Magnetic Sphere

Published on: April 30, 2018

A soft-computing methodology for noninvasive time-spatial temperature estimation.

César A Teixeira¹, Maria Graça Ruano, António E Ruano

¹Centre for Intelligent Systems, Faculty of Sciences and Technology, Campus de Gambelas, University of Algarve, 8005-139 Faro Algarve, Portugal. cateixeira@ualg.pt

IEEE Transactions on Bio-Medical Engineering

|February 14, 2008

Summary

This study introduces a noninvasive method using ultrasound echo-shifts and neural networks to accurately estimate temperatures during thermal therapies. The developed models offer reliable, low-complexity temperature monitoring for hyperthermia applications.

More Related Videos

Method for Simultaneous fMRI/EEG Data Collection during a Focused Attention Suggestion for Differential Thermal Sensation

Method for Simultaneous fMRI/EEG Data Collection during a Focused Attention Suggestion for Differential Thermal Sensation

Published on: January 5, 2014

Thermal Imaging to Study Stress Non-invasively in Unrestrained Birds

Thermal Imaging to Study Stress Non-invasively in Unrestrained Birds

Published on: November 6, 2015

Related Experiment Videos

Last Updated: Jul 7, 2026

Near-Infrared Temperature Measurement Technique for Water Surrounding an Induction-heated Small Magnetic Sphere

Near-Infrared Temperature Measurement Technique for Water Surrounding an Induction-heated Small Magnetic Sphere

Published on: April 30, 2018

Method for Simultaneous fMRI/EEG Data Collection during a Focused Attention Suggestion for Differential Thermal Sensation

Method for Simultaneous fMRI/EEG Data Collection during a Focused Attention Suggestion for Differential Thermal Sensation

Published on: January 5, 2014

Thermal Imaging to Study Stress Non-invasively in Unrestrained Birds

Thermal Imaging to Study Stress Non-invasively in Unrestrained Birds

Published on: November 6, 2015

Area of Science:

Biomedical Engineering
Medical Physics
Artificial Intelligence in Medicine

Background:

Accurate noninvasive temperature estimation is crucial for safe and effective thermal therapies.
Current limitations in temperature monitoring restrict the application of treatments like hyperthermia and diathermia.

Purpose of the Study:

To develop and validate a reliable noninvasive method for estimating temperature during ultrasound-induced hyperthermia.
To assess the accuracy and spatial generalization capabilities of the developed temperature estimation models.

Main Methods:

Utilized temporal echo-shifts of backscattered ultrasound signals from a gel phantom as input for radial basis functions neural networks.
Employed a piston-like therapeutic ultrasound transducer for heating and multiobjective genetic algorithms (MOGA) for model optimization.
Evaluated model performance based on maximum absolute error and spatial generalization capacity.

Main Results:

Achieved an average maximum absolute error below 0.5 degrees C, meeting the reliability threshold for thermal therapies.
Demonstrated successful spatial generalization with some models maintaining accuracy below 0.5 degrees C at unassessed points.
Developed models exhibit low implementation complexity suitable for real-time applications.

Conclusions:

The developed ultrasound-based neural network models provide a reliable and accurate noninvasive temperature estimation method.
This approach enhances the safety and efficacy of thermal therapies by enabling precise temperature monitoring.
The low-complexity and spatial generalization capabilities make these models highly suitable for clinical implementation in hyperthermia treatments.