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Related Concept Videos

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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Electrocardiogram01:29

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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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The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
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Electrocardiogram Fundamentals01:28

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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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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.
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Related Experiment Video

Updated: Oct 10, 2025

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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A Novel Lossless ECG Compression Algorithm for Active Implants.

Jingchuan Wang, Jin Li, Hua Jin

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 11, 2021
    PubMed
    Summary

    This study introduces a simple, lossless electrocardiogram (ECG) compression algorithm for active implants. It achieves a high compression ratio without losing data, making it ideal for implantable devices.

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    Area of Science:

    • Biomedical Engineering
    • Signal Processing
    • Medical Informatics

    Background:

    • Effective data compression is crucial for implantable medical devices, particularly for continuous monitoring like electrocardiograms (ECGs).
    • Existing algorithms may lack the necessary efficiency or low complexity for real-time processing within active implants.

    Purpose of the Study:

    • To propose and evaluate a novel, low-complexity, lossless ECG compression algorithm tailored for active implant applications.
    • To assess the algorithm's compression ratio and fidelity using standard ECG datasets.

    Main Methods:

    • The algorithm employs adaptive length encoding, integrating linear prediction with delta encoding for ECG signal compression.
    • Compression performance was evaluated on 48 segments of 30-minute ECG signals from the MIT-BIH Arrhythmia Database.

    Main Results:

    • The algorithm achieved an average compression rate of 2.43 with a data segment length of 33 and a predictor order of 2.
    • No discernible difference was observed between the reconstructed and original ECG signals, confirming lossless compression.

    Conclusions:

    • The developed algorithm offers a high compression ratio while maintaining signal integrity, crucial for lossless ECG data.
    • Its low computational complexity makes it highly suitable for resource-constrained active implantable medical devices for continuous ECG monitoring.