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相关概念视频

Body Temperature01:25

Body Temperature

935
The body's temperature, measured in degrees, is determined by the balance between heat production and dissipation to the surrounding environment. For instance, if exercising vigorously, the body will produce more heat, causing sweat and dissipating that heat. Despite extreme environmental conditions and physical exertion, the human temperature-control system maintains a constant core body temperature (the temperature of deep tissues, which are the tissues located beneath the skin and other...
935
Thermosensation01:43

Thermosensation

30.4K
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...
30.4K
Equipments Used to Measure Body Temperature01:13

Equipments Used to Measure Body Temperature

986
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,...
986
Assessing Body Temperature - Oral01:14

Assessing Body Temperature - Oral

738
Here are the steps to accurately measure oral temperature using an electronic thermometer:
Step 1:
Start by practicing proper hand hygiene to prevent the spread of microorganisms.
Step 2:
Take the thermometer out of the charging unit, switch it on, and wait for the ready sign.
Step 3:
Gently slide the probe cover until a click is heard. This simple action prevents cross-contamination and ensures the correct placement of the probe cover.
Step 4:
Instruct the patient to open their mouth and place...
738
Assessing Body Temperature - Axilla01:14

Assessing Body Temperature - Axilla

580
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...
580

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相关实验视频

Updated: Jun 21, 2025

Assessing Spatial Learning and Memory in Small Squamate Reptiles
08:44

Assessing Spatial Learning and Memory in Small Squamate Reptiles

Published on: January 3, 2017

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使用人工智能获取体温和识别

Ana L Afonso1, Gil Lopes2, A Fernando Ribeiro3

  • 1Mechanical Engineering Department, University of Minho, 4800-058 Guimarães, Portugal.

Sensors (Basel, Switzerland)
|July 13, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种自动化系统,用于使用人工智能和双摄像头测量体温. 与手动技术相比,新方法提高了准确性,并减少了动物的压力.

关键词:
这是一个YOLO YOLO.人工智能的人工智能是人工智能.获取体温 获取体温的方法计算机视觉 计算机视觉子 子 子对象检测检测对象检测对象检测

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Testing Visual Sensitivity to the Speed and Direction of Motion in Lizards
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Testing Visual Sensitivity to the Speed and Direction of Motion in Lizards

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相关实验视频

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Testing Visual Sensitivity to the Speed and Direction of Motion in Lizards

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Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
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科学领域:

  • 动物生物学 动物生物学
  • 计算机视觉 计算机视觉
  • 热成像是一种热成像技术.

背景情况:

  • 在实验室动物中手动测量体温是不准确的,可能会引起痛苦.
  • 使用热摄像头的半手动方法耗时且不完全自动.

研究的目的:

  • 为了在实验室环境中自动化的体温获取过程.
  • 开发一种非侵入性和准确的方法来监测动物生理学.

主要方法:

  • 使用双摄像头系统 (RGB和热) 进行同时数据捕获.
  • 开发了一种人工智能模型 (YOLOv5),用于自动检测和定位体部位.
  • 创建了一个定制的图像数据集,用于训练AI模型.
  • 实现了坐标转换,用于从热图像到RGB图像的准确温度映射.

主要成果:

  • 在使用YOLOv5.5检测及其身体部位时,获得了高精度 (90.00%) 和回忆力 (98.80%).
  • 成功自动化了温度获取过程,克服了低对比度环境的挑战.
  • 能够对的特定身体部位进行准确的温度读数.

结论:

  • 开发的自动化系统显著提高了动物体温测量的准确性和效率.
  • 这种由人工智能驱动的方法为生物研究的传统方法提供了一个不那么紧张和更可靠的替代方案.