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Related Concept Videos

Electrocardiogram01:29

Electrocardiogram

4.9K
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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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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Pulse rhythm01:30

Pulse rhythm

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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...
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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...
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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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Holter Monitor: 24-Hour Monitoring01:23

Holter Monitor: 24-Hour Monitoring

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Holter monitoring is a continuous electrocardiography (ECG) recording that tracks the heart's electrical activity over an extended period, generally 24 to 48 hours. This noninvasive diagnostic tool detects irregular heart rhythms that may not be captured during a standard ECG performed in a clinical setting.DeviceThe Holter monitor is a portable, small device connected to several electrodes on the patient's chest. These electrodes detect the heart's electrical signals and transmit them to the...
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Related Experiment Video

Updated: Dec 11, 2025

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment
10:03

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Published on: July 22, 2022

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Online MECG Compression Based on Incremental Tensor Decomposition for Wearable Devices.

Ling Xiao, Qian Zhang, Kun Xie

    IEEE Journal of Biomedical and Health Informatics
    |August 20, 2020
    PubMed
    Summary
    This summary is machine-generated.

    We developed an efficient online compression method for multi-lead electrocardiogram (MECG) data on wearable devices. This approach significantly reduces computational load while preserving vital R-peak information for long-term health monitoring.

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    Area of Science:

    • Biomedical Engineering
    • Signal Processing
    • Wearable Technology

    Background:

    • Lightweight and real-time multi-lead electrocardiogram (MECG) compression is crucial for long-term health monitoring using wearable devices.
    • Existing tensor decomposition algorithms are computationally intensive for real-time application on resource-constrained wearable devices.

    Purpose of the Study:

    • To develop an efficient MECG compression method suitable for wearable devices.
    • To address the computational complexity of conventional tensor decomposition for MECG data.

    Main Methods:

    • Constructed a 3-order incremental tensor to capture MECG data correlations.
    • Formulated MECG compression as a tensor decomposition problem.
    • Developed an online compression approach by incrementally tracking CANDECOMP/PARAFAC (CP) decomposition of dynamic incremental tensors.

    Main Results:

    • Achieved an averaged Percentage Root-Mean-Square Difference (PRD) of 8.35% ±2.28%.
    • Obtained a Compression Ratio (CR) of 43.05 ±2.01.
    • Demonstrated superior performance compared to five state-of-the-art methods and preserved R-peak information.

    Conclusions:

    • The proposed online tensor decomposition method offers efficient MECG compression for wearable devices.
    • The approach is suitable for near real-time health monitoring applications.
    • This method balances compression efficiency with the preservation of critical physiological signals.