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関連する概念動画

Electrocardiogram01:29

Electrocardiogram

6.9K
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...
6.9K
Instrumentation Amplifier01:25

Instrumentation Amplifier

1.1K
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...
1.1K
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

13.5K
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...
13.5K
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

1.6K
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...
1.6K

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関連する実験動画

Updated: Feb 26, 2026

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
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Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function

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EQA-MDL:マルチスケール差分学習によるウェアラブル心電図信号品質評価

Haoyi Fan, Jiawei Luo, Huihui Chang

    IEEE journal of biomedical and health informatics
    |February 24, 2026
    PubMed
    まとめ

    本研究では、心電図(ECG)信号品質評価のための新しい自己教師あり学習手法であるEQA-MDLを紹介します。ラベル付きデータなしでノイズの多いECGセグメントを正確に特定し、ウェアラブルデバイスデータの信頼性を向上させます。

    キーワード:
    心電図信号品質評価自己教師あり学習ウェアラブルデバイスノイズ検出マルチスケール差分学習

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    Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

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    関連する実験動画

    Last Updated: Feb 26, 2026

    Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
    05:03

    Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function

    Published on: December 11, 2019

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    Real-Time Electrocardiogram Monitoring During Treadmill Training in Mice
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    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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    科学分野:

    • 生物医学工学
    • 信号処理
    • 機械学習

    背景:

    • 信号品質評価(SQA)は、ウェアラブルデバイスデータの精度にとって不可欠です。
    • 既存の心電図(ECG)品質評価手法は、しばしばラベル付きデータを必要とし、正確なノイズ領域の局在化に苦労しています。

    研究 の 目的:

    • 正確なECG信号品質評価とノイズセグメント局在化のための自己教師あり学習手法を開発すること。
    • ラベル付きデータを必要とする既存手法の限界を克服すること。

    主な方法:

    • マルチスケール差分学習を用いたEQA-MDL手法を提案。
    • 疑似異常サンプル作成のためのノイズ生成モジュールを組み込みました。
    • 特徴抽出のために、再構成フレームワークとマルチスケール差分学習を組み合わせました。

    主要な成果:

    • EQA-MDLは、ノイズの多いECGセグメントの特定において優れた性能を示しました。
    • この手法は、複数のデータセットにわたって最先端のアプローチを大幅に上回りました。
    • 事前にラベル付けされたデータに依存せずに、正確な異常局在化を達成しました。

    結論:

    • EQA-MDLは、ECG信号品質評価のための堅牢で効果的な自己教師あり学習ソリューションを提供します。
    • 提案手法は、ウェアラブルデバイスから収集されたデータの信頼性を向上させます。
    • この手法は、自動ECG解析とノイズ検出の分野を進歩させます。