Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Electrocardiogram01:29

Electrocardiogram

3.2K
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...
3.2K
Dysrhythmias V: Evaluating Dysrhythmias01:30

Dysrhythmias V: Evaluating Dysrhythmias

117
Dysrhythmias, also known as arrhythmias, are disturbances in the heart's rhythm that range from benign to life-threatening. A thorough evaluation is crucial for appropriate management and involves a comprehensive medical history, physical examination, and various diagnostic tests.Medical HistorySymptoms: Collect detailed information on palpitations, dizziness, syncope, chest pain, and fatigue. Note their onset, frequency, and triggers.Previous Cardiac Issues: Document any history of heart...
117
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

872
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...
872
Dysrhythmias IV: Characteristics of Bradyarrhythmias01:18

Dysrhythmias IV: Characteristics of Bradyarrhythmias

118
Bradyarrhythmias are cardiac rhythm disorders characterized by a slower-than-normal heart rate, typically defined as fewer than 60 beats per minute. Some of which are discussed here:Sinus BradycardiaSinus bradycardia presents a heart rate lower than 60 beats per minute, with a regular rhythm originating from the SA node. The ECG typically shows normal P waves preceding each QRS complex, a normal PR interval (0.12 to 0.20 seconds), and a normal QRS duration (0.06 to 0.10 seconds).First-Degree AV...
118
Disturbances in Heart Rhythm01:29

Disturbances in Heart Rhythm

1.2K
Arrhythmia or dysrhythmia refers to an abnormal heart rhythm caused by a defect in the heart's conduction system. It can cause the heart to beat irregularly, too quickly, or too slowly, leading to symptoms like chest pain, shortness of breath, and fainting. Factors such as stress, caffeine, alcohol, nicotine, cocaine, certain drugs, congenital defects, diseases, and electrolyte abnormalities can trigger arrhythmias.
Arrhythmias are categorized by their speed, rhythm, and origin. A slow heart...
1.2K
Acute Coronary Syndrome III: Diagnostic Studies01:30

Acute Coronary Syndrome III: Diagnostic Studies

23
Diagnosing acute coronary syndrome or ACS begins with a thorough patient history. Notable symptoms include central, crushing chest pain radiating to the left arm, neck, jaw, or back, along with shortness of breath, sweating (diaphoresis), nausea, vomiting, dizziness, and palpitations.It is crucial to note any history of cardiac illnesses and assess risk factors, including age, gender, smoking, hypertension, diabetes, hyperlipidemia, and a sedentary lifestyle.During physical examination, vital...
23

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Authors' response to commentary on "Echocardiographic phenotypes in sepsis: identifying subgroups using latent profile analysis".

Journal of intensive care·2026
Same author

Atrial cardiomyopathy as a multidomain disease: longitudinal evidence for autonomic remodelling.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology·2026
Same author

Cardio Heart Connect: Protocol for a Randomized Trial of a Commercially Available mHealth Fitness Intervention for Cardiac Rehabilitation After Transcatheter Aortic Valve Replacement.

medRxiv : the preprint server for health sciences·2026
Same author

Mechanistic interpretations of sustained ventricular fibrillation: The role of mapping methodology, model and time.

Heart international·2026
Same author

Mapping the plasma proteomic architecture of systemic lupus erythematosus.

JCI insight·2026
Same author

Peak QRS/T ratio and the spatial ventricular gradient differentiate acute vs chronic left bundle branch block after transcatheter aortic valve replacement.

Heart rhythm O2·2026

関連する実験動画

Updated: Sep 10, 2025

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

903

完全な心臓ブロックリスクの階層化のための人工知能強化電心図

Arunashis Sau1,2, Henry Zhang1, Joseph Barker1

  • 1National Heart and Lung Institute, Imperial College London, London, United Kingdom.

JAMA cardiology
|August 20, 2025
PubMed
まとめ

人工知能で強化された心電図 (AI-ECG) は,完全心筋梗塞 (CHB) のリスクを予測することができます. このAI-ECGツールであるAIRE-CHBは,CHBのリスクのある患者を特定するための伝統的な方法と比較して,リスクの階層化を改善しています.

さらに関連する動画

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

8.7K
Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
06:07

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Published on: May 23, 2021

3.9K

関連する実験動画

Last Updated: Sep 10, 2025

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

903
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

8.7K
Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
06:07

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Published on: May 23, 2021

3.9K

科学分野:

  • 心臓病科
  • 人工知能
  • 医療診断

背景:

  • コンプリート・ハート・ブロック (CHB) は,電流心電図 (ECG) を用いた粗末なリスクの分層化による深刻な状態である.
  • 人工知能強化心電図 (AI-ECG) は,サブクリニック疾患の特定において有望である.
  • 事故CHBを予測するための改善された方法が必要である.

研究 の 目的:

  • 事故CHBを予測するためのAI-ECGリスク評価器を開発し,検証する.
  • AI-ECGモデルの性能を,従来のリスク要因と比較して評価する.

主な方法:

  • 開発と外部検証を含むコホート研究
  • ディスクリート・タイム・サバイバル・ロス・関数を持つ残留コンボリューションニューラル・ネットワーク・アーキテクチャを使用した.
  • 新しいCHB診断を予測するためにAI-ECGモデル (AIRE-CHB) を訓練しました.

主要な成果:

  • AIRE-CHBは,開発 (C指数0.836,AUROC 0.889) と検証コホート (C指数0.936) の両方で強力な予測性能を示した.
  • AI-ECGモデルは,従来のバイファシキュラーブロック検出 (AUROC 0.594) を大幅に上回りました.
  • AIRE-CHBによって特定された高リスクの個人は,CHBを発症する危険度が大幅に増加しました.

結論:

  • AIRE-CHBという新しいディープラーニングモデルは 事故CHBのリスクを効果的に特定できます
  • AIRE- CHBは,気絶症または高度の心房閉塞のリスクのある患者の臨床的意思決定を強化する可能性があります.
  • このAI-ECGアプローチは,現在のCHBのリスク分層方法よりも大幅に進歩しています.