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関連する概念動画

Electrocardiogram01:29

Electrocardiogram

6.8K
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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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....
15.1K
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

13.2K
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...
13.2K
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
Pulse rhythm01:30

Pulse rhythm

1.5K
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...
1.5K
Dysrhythmias III: Characteristics of Dysrhythmias01:29

Dysrhythmias III: Characteristics of Dysrhythmias

542
Dysrhythmias, also known as arrhythmias, are irregular heart rhythms that result from abnormal electrical activity in the heart, affecting its ability to circulate blood efficiently. Tachyarrhythmias, a subset of dysrhythmias, are characterized by abnormally fast heart rates exceeding 100 beats per minute. Here are some types of tachyarrhythmias with their distinct ECG features:Sinus Tachycardia:Sinus tachycardia presents a regular heart rhythm with an increased rate of 101-180 beats per...
542

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関連する実験動画

Updated: Feb 21, 2026

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
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Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions

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堅固なRピーク検出モデルによって誘発されたHRV特徴に基づくエクササイズEKG分類.

Xinhua Su1, Xuxuan Wang1, Huanmin Ge1

  • 1School of Sports Engineering (China Big Data Center for Sports), Beijing Sport University, Beijing, China.

Computer methods in biomechanics and biomedical engineering
|February 20, 2026
PubMed
まとめ

この研究では,騒々しい運動時の心電図 (ECG) でRピークを正確に検出するためにUNet-M-Dを導入し,スポーツの健康管理のための疲労分類を改善します.

キーワード:
ECG ECG ECG ECG ECG ECG ECG ECG ECG ECG ECG ECG ECG ECG ECG ECG ECGHRV,HRV,HRV,HRV,HRV,HRV,HRV,HRV,HRV,HRV,HRV,HRV,HRV,HRV,HRV,HRV,HRV,HRV.R-ピーク検出ダイナミック・コンヴォルション疲労の分類 疲労の分類 疲労の分類 疲労の分類トランスフォーマー・トランスフォーマー

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関連する実験動画

Last Updated: Feb 21, 2026

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科学分野:

  • スポーツ科学 スポーツ科学
  • バイオメディカルエンジニアリング
  • 心血管生理学 心血管の生理学

背景:

  • 運動用心電図 (ECG) でのRピークの正確な検出は,心拍数変動 (HRV) 分析による運動による疲労の評価に不可欠です.
  • 既存のモデルは,身体活動中に記録されたECGに固有のノイズと闘っています.
  • 強固なRピーク検出方法の開発は,スポーツにおける信頼性の高い疲労評価に不可欠です.

研究 の 目的:

  • 騒々しいエクササイズEKG信号におけるRピークの正確な検出のための新しいディープラーニングモデル,UNet-M-Dの開発と評価.
  • 運動による疲労分類の精度を向上させるための提案されたモデルの有効性を評価する.
  • 目標的な疲労測定に基づいて,スポーツの健康管理とトレーニングの調整を強化するための基盤を提供すること.

主な方法:

  • 提案されたUNet-M-Dモデルは,ポジショナルのエンコーディング,マルチヘッドの自己注意,および強化されたRピーク検出のためのダイナミックコンヴォルションを統合しています.
  • GUDBとEPFLのECGデータセットを用いたモデル評価は,運動による騒音を含有することが知られている.
  • 後の疲労分類のために検出されたRピークから派生した心拍数変動 (HRV) メトリックから特徴の選択.

主要な成果:

  • UNet-M-Dは優れたRピーク検出精度を達成し,評価されたデータセットでは99.2%に達しました.
  • このモデルは,騒音に対する有意な耐性を実証し,信号対騒音比 (SNR) が6〜18dBまで低くなっても良好なパフォーマンスを示した.
  • 疲労分類の精度は,UNet-M-D R-ピーク検出から得られた最適に選択されたHRV特性を用いて77.4%に達しました.

結論:

  • UNet-M-Dモデルは,困難なエクササイズEKG条件下でRピーク検出のための堅牢で正確なソリューションを提供します.
  • 改善されたRピーク検出は,より信頼性の高いHRV特徴抽出と,その後の疲労分類に直接つながります.
  • この研究は,客観的なスポーツ健康モニタリングとパーソナライズされたトレーニングレジムの最適化のための貴重なツールを提供します.