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Related Concept Videos

Factors Influencing Heart Rate01:30

Factors Influencing Heart Rate

The heart rate, or pulse rate, is a vital indicator of cardiovascular health. It reflects the number of times the heart beats per minute. Various physiological and environmental factors influence heart rate, increasing or decreasing cardiac output. Understanding these factors is crucial for assessing heart function and identifying potential health issues.
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
Regulation of Heart Rates01:31

Regulation of Heart Rates

The regulation of heart rate is a complex process controlled by the autonomic nervous system (ANS), hormonal influences, and intrinsic cardiac mechanisms. The ANS has two main components: the sympathetic nervous system (SNS) and the parasympathetic nervous system (PNS).
The SNS increases heart rate through the release of norepinephrine and epinephrine, which act on beta-1 adrenergic receptors in the heart. This action increases the rate of depolarization in the sinoatrial (SA) node, the heart's...
Special considerations while measuring pulse01:13

Special considerations while measuring pulse

Assessing a patient's pulse is a fundamental skill in healthcare, but certain situations require special attention:
Pulse rhythm01:30

Pulse rhythm

Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac muscle...
Regulation of Pulse01:20

Regulation of Pulse

Pulse regulation involves physiological mechanisms that ensure adequate blood flow throughout the body. The heartbeat, regulated by the autonomic nervous system, is influenced by hormonal balance, physical activity, and emotional state.
Disturbances in Heart Rhythm01:29

Disturbances in Heart Rhythm

Arrhythmia or dysrhythmia refers to an abnormal heart rhythm caused by a defect in the heart's conduction system. It can cause the heart to beat irregularly, too quickly, or too slowly, leading to symptoms like chest pain, shortness of breath, and fainting. Factors such as stress, caffeine, alcohol, nicotine, cocaine, certain drugs, congenital defects, diseases, and electrolyte abnormalities can trigger arrhythmias.
Arrhythmias are categorized by their speed, rhythm, and origin. A slow heart...

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Related Experiment Video

Updated: Jun 13, 2026

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task
07:08

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task

Published on: December 5, 2025

[Heart rate measurement algorithm based on artificial intelligence].

Cai Chengxian1, Wang Wei

  • 1School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240. danielchester@163.com

Zhongguo Yi Liao Qi Xie Za Zhi = Chinese Journal of Medical Instrumentation
|April 16, 2010
PubMed
Summary

This study introduces an AI-powered algorithm using fuzzy logic to measure heart rate from cheek images. The novel method accurately and reliably detects heartbeats for practical applications.

Related Experiment Videos

Last Updated: Jun 13, 2026

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task
07:08

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task

Published on: December 5, 2025

Area of Science:

  • Biomedical Engineering
  • Artificial Intelligence
  • Signal Processing

Context:

  • Non-invasive physiological monitoring is crucial for healthcare.
  • Traditional heart rate measurement methods can be intrusive or require specialized equipment.
  • Remote and accessible health monitoring solutions are increasingly in demand.

Purpose:

  • To develop a novel, non-invasive heart rate measurement algorithm.
  • To leverage Artificial Intelligence (AI) and fuzzy logic for accurate heartbeat detection.
  • To validate the algorithm's performance using time-lapse imagery of the human cheek.

Summary:

  • A new AI-driven algorithm is proposed for heart rate measurement using time-lapse images of the human cheek.
  • The algorithm integrates fuzzy logic theory, employing fuzzy membership functions to identify individual heartbeats from sampled points.
  • Heart rate is calculated by quantifying the identified heartbeats within a defined temporal interval.

Impact:

  • The developed algorithm demonstrates high operability, accuracy, and robustness.
  • This non-invasive approach offers significant practical value for continuous and remote heart rate monitoring.
  • Potential applications include wearable health devices and telemedicine platforms.