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Related Concept Videos

Electrocardiogram01:29

Electrocardiogram

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An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
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Assessing Body Temperature - Temporal Artery01:19

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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.  
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Equipments Used to Measure Body Temperature01:13

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Body temperature can be assessed using various devices and measured in Celsius or Fahrenheit.
Glass-bulb Thermometer:
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Assessing Body Temperature - Axilla01:14

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Procedural Guide for Assessing Axillary Body Temperature using a Digital Thermometer:
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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.
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Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

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Introduction
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
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Correlation between ECG and Cardiac Cycle01:25

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The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
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Estimating core body temperature using electrocardiogram signals.

Chie Kurosaka1, Takashi Maruyama2, Shimpei Yamada3

  • 1Department of Human, Information and Life Sciences, School of Health Sciences, University of Occupational and Environmental Health, Kitakyushu, Japan.

Plos One
|June 28, 2022
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Summary
This summary is machine-generated.

This study introduces a novel, non-invasive method to estimate core body temperature using electrocardiogram (ECG) signals. The developed algorithm accurately tracks body temperature changes during exercise, crucial for heatstroke prevention.

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Area of Science:

  • Physiology
  • Biomedical Engineering
  • Health Monitoring

Background:

  • Elevated core body temperature is a risk factor for heatstroke.
  • Current methods for monitoring core body temperature are invasive.
  • Non-invasive techniques for continuous core body temperature sensing are needed.

Purpose of the Study:

  • To develop and validate an algorithm for estimating core body temperature using electrocardiogram (ECG) signals.
  • To assess the feasibility of non-invasive core body temperature monitoring.
  • To investigate the relationship between ECG parameters and core body temperature fluctuations.

Main Methods:

  • 12 healthy men underwent an ergometric exercise test in a controlled environment (35°C, 50% humidity).
  • Continuous measurement of ECG, core body temperature, and body surface temperature.
  • Analysis of ECG R-R interval indexes, including the Poincaré plot index, using multiple regression analysis.

Main Results:

  • A strong correlation was found between changes in core body temperature and ECG-derived indexes.
  • The developed estimation model demonstrated a low average error of -0.007°C (-0.02%) and an error range of 0.457-0.445°C.
  • The model showed potential for estimating core body temperature changes irrespective of individual characteristics.

Conclusions:

  • Continuous core body temperature changes can be accurately estimated non-invasively using ECG signals.
  • This algorithm offers a promising tool for heatstroke prevention and physiological monitoring.
  • Future research will focus on enhancing accuracy by considering clothing and environmental factors.