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Related Concept Videos

Temperature Measurement Sites01:14

Temperature Measurement Sites

2.4K
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...
2.4K
Equipments Used to Measure Body Temperature01:13

Equipments Used to Measure Body Temperature

1.4K
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,...
1.4K
Assessing Body Temperature - Temporal Artery01:19

Assessing Body Temperature - Temporal Artery

716
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...
716
Thermosensation01:43

Thermosensation

32.2K
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...
32.2K
Assessing Body Temperature - Axilla01:14

Assessing Body Temperature - Axilla

811
Procedural Guide for Assessing Axillary Body Temperature using a Digital Thermometer:
Step 1: Perform hand hygiene and put on clean gloves to maintain infection control and prevent cross-contamination.
Step 2: Prepare the patient by explaining the procedure to ensure understanding and cooperation. Ensure privacy, expose the axilla, and inform the patient that minimal movement is crucial for an accurate reading.
Step 3: Adjust the patient’s clothing to expose only the axilla. It minimizes...
811
Assessing Body Temperature - Tympanic membrane01:14

Assessing Body Temperature - Tympanic membrane

804
Assessing tympanic membrane temperature involves using a tympanic membrane thermometer (TMT). Here is a step-by-step guide:
Step 1: Begin by practicing good hand hygiene to prevent the transmission of microorganisms.
Step 2: Turn on the thermometer and wait until the ready sign appears on the screen to ensure accurate measurement.
Step 3: Slide the probe cover in place to prevent cross-contamination.
Step 4: Instruct the patient to tilt their head to the side for comfort and check for cerumen...
804

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Cross-Modal Multivariate Pattern Analysis
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Highly Discriminative Physiological Parameters for Thermal Pattern Classification.

Laura Benita Alvarado-Cruz1, Carina Toxqui-Quitl1, Raúl Castro-Ortega1

  • 1Computer Vision Laboratory, Universidad Politécnica de Tulancingo, Tulancingo de Bravo 43629, Mexico.

Sensors (Basel, Switzerland)
|November 27, 2021
PubMed
Summary
This summary is machine-generated.

Infrared thermography (IRT) effectively detects breast lesions by analyzing surface temperature distribution. This method achieves 100% classification accuracy for normal and abnormal thermograms using extracted physiological parameters.

Keywords:
D-I-R modelbreast thermographyfeature extractionheat source parametersinfrared imaging

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Computational Biology

Background:

  • Breast lesion detection remains a critical challenge in women's health.
  • Infrared Thermography (IRT) offers a non-contact, non-ionizing method for breast screening.
  • Accurate analysis of surface temperature distribution (STD) is key to identifying internal heat source parameters.

Purpose of the Study:

  • To develop and validate a novel methodology for classifying normal and abnormal breast thermograms using IRT.
  • To extract physiological parameters from optimal Regions of Interest (RoI) for improved diagnostic accuracy.
  • To establish a highly discriminative pattern vector for robust breast thermogram classification.

Main Methods:

  • Analysis of Surface Temperature Distribution (STD) within an optimal Region of Interest (RoI).
  • Estimation of physiological parameters via the inverse solution of the bio-heat equation.
  • Application of Depth-Intensity-Radius (D-I-R) model and Lorentz curve fitting for STD analysis.
  • Utilizing Support Vector Machines (SVM) to define RoI boundaries and a pattern vector for classification.
  • Testing on 87 breast thermograms from the DMR-IR database without image pre-processing.

Main Results:

  • The proposed pattern vector, extracted at an optimal position (a=1.6 cm), achieved the highest sensitivity, specificity, and accuracy.
  • A Correct Rate Classification (CRC) of 100% was obtained using a reduced set of physiological parameters.
  • Three-dimensional scattergrams demonstrated clear separation between normal and abnormal thermograms at the optimal position.
  • The methodology showed superior performance compared to existing techniques for breast thermogram classification on the DMR-IR dataset.

Conclusions:

  • The developed IRT-based methodology provides a highly accurate and efficient tool for breast thermogram classification.
  • The proposed pattern vector and optimal RoI selection significantly enhance diagnostic capabilities.
  • This technique offers a promising non-invasive approach for early breast lesion detection, achieving perfect classification rates.