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Related Concept Videos

Electrocardiogram01:29

Electrocardiogram

3.8K
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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Instrumentation Amplifier01:25

Instrumentation Amplifier

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An electrocardiography (ECG) machine is an essential piece of medical equipment used to monitor the electrical activity of the heart. It operates by detecting small electrical changes on the skin that result from the depolarization of the heart muscle during each heartbeat. However, these signals are in the microvolt range and can be easily overwhelmed by noise or interference.
To overcome this challenge, an ECG machine utilizes an instrumentation amplifier. This specialized amplifier is...
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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
An ECG utilizes electrodes on the skin...
940
Electrophysiology of Normal Cardiac Rhythm01:19

Electrophysiology of Normal Cardiac Rhythm

7.4K
The normal cardiac rhythm is a synchronized electrical activity that facilitates the regular and coordinated contraction of the heart muscle. This process is essential for efficient blood circulation throughout the body. The fundamental elements involved in establishing and maintaining this rhythm include the unique electrical properties of cardiac muscle cells, the sinoatrial (SA) node's pacemaker function, the specialized conducting system, and the ionic mechanisms underlying each phase...
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Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

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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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ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

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An electrocardiogram (ECG)graphically represents the heart's electrical activity on ECG paper or a monitor.
Components of the Electrocardiogram
The primary components of a normal ECG waveform in Normal sinus rhythm(NSR) include the P wave, PR interval, QRS complex, ST segment, T wave, and occasionally a U wave.
ECG waveforms are divided by vertical and horizontal lines at standard intervals.
The horizontal axis measures time and rate, and the vertical axis measures amplitude or voltage....
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Related Experiment Video

Updated: Oct 13, 2025

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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ECG Authentication Based on Non-Linear Normalization under Various Physiological Conditions.

Ho Bin Hwang1, Hyeokchan Kwon2, Byungho Chung2

  • 1Department of Biomedical Engineering, Hanyang University, Seoul 04763, Korea.

Sensors (Basel, Switzerland)
|November 13, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel non-linear normalization method for electrocardiogram (ECG) authentication, enhancing security for wearable devices. The technique improves accuracy even with heart rate changes during daily activities.

Keywords:
ECGauthenticationbiometricsnon-linearnormalizationvarious physiological conditions

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Area of Science:

  • Biomedical Engineering
  • Cybersecurity
  • Signal Processing

Background:

  • Wearable devices necessitate robust security measures, driving interest in biometric authentication.
  • Electrocardiogram (ECG) biometrics offer anti-spoofing advantages but face challenges due to waveform variability.
  • Physiological and psychological factors can alter ECG morphology, complicating reliable authentication.

Purpose of the Study:

  • To develop a novel ECG-based authentication method robust to physiological variations.
  • To address the challenge of ECG waveform changes caused by heart rate fluctuations during daily activities.
  • To improve the accuracy and reliability of biometric authentication for wearable devices.

Main Methods:

  • Proposed a non-linear normalization technique for ECG beats.
  • Analyzed ECG signals in conjunction with heart rate data.
  • Evaluated the similarity and authentication performance of the normalized ECG beats against existing methods.

Main Results:

  • The non-linear normalization method significantly increased the average similarity of ECG beats.
  • Similarity improved by 23.7% in resting states and 43% in non-resting states.
  • Achieved high authentication accuracy: 99.05% in resting and 88.14% in non-resting states.

Conclusions:

  • The proposed non-linear normalization method enhances ECG authentication robustness.
  • This technique effectively handles ECG waveform changes due to heart rate variations.
  • The method is suitable for practical ECG-based authentication systems across diverse physiological conditions.