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相关概念视频

Electrocardiogram01:29

Electrocardiogram

4.7K
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...
4.7K
Holter Monitor: 24-Hour Monitoring01:23

Holter Monitor: 24-Hour Monitoring

934
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...
934
Pulse rhythm01:30

Pulse rhythm

1.1K
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...
1.1K
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

8.8K
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....
8.8K
Dysrhythmias V: Evaluating Dysrhythmias01:30

Dysrhythmias V: Evaluating Dysrhythmias

200
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...
200
Assessment of apical radial pulse01:25

Assessment of apical radial pulse

1.0K
Apical-Radial (A-R) Pulse Assessment
The A-R pulse assessment involves simultaneous evaluation of the apical and radial pulses. When the apical and radial pulse rates vary, this assessment helps identify a pulse deficit.
Pre-Procedural Preparation
1.0K

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相关实验视频

Updated: Nov 19, 2025

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
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A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

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使用移动心电图装置对心率纠正的QT间隔进行人工智能评估

John R Giudicessi1, Matthew Schram2, J Martijn Bos3

  • 1Clinician-Investigator Training Program (J.R.G.), Mayo Clinic, Rochester, MN.

Circulation
|February 1, 2021
PubMed
概括
此摘要是机器生成的。

一个人工智能 (AI) 深度神经网络 (DNN) 准确地预测心率校正的QT间隔 (QTc) 从移动心电图设备. 这种支持人工智能的移动心电图查为检测长QT综合征提供了一种具有成本效益的方法.

关键词:
人工智能心电图长时间QT综合征机器学习

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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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Real-Time Electrocardiogram Monitoring During Treadmill Training in Mice
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Real-Time Electrocardiogram Monitoring During Treadmill Training in Mice

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相关实验视频

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Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
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科学领域:

  • 心脏病学
  • 人工智能
  • 医疗器械

背景情况:

  • 延长心率校正的QT间隔 (QTc) 会增加心室节律失常和心脏突然死亡的风险.
  • 原因包括药物,遗传 (先天性长QT综合征) 和COVID-19等疾病.
  • 目前的QTc监测依赖于12导电心电图.

研究的目的:

  • 训练和验证使用12导心电图的AI算法来确定QTc.
  • 在移动心电图 (mECG) 上前性测试人工智能算法.
  • 评估人工智能检测临床相关的QTc延长的能力.

主要方法:

  • 一个深度神经网络 (DNN) 在超过160万个12导心电图上进行了训练和验证.
  • DNN预测了QTc值,使用心脏病学家的重读值作为黄金标准.
  • 预期测试涉及686名患有遗传性心脏病的患者,使用了12导电图和原型mECG装置.

主要成果:

  • 在验证组中,AI DNN与人类读取的QTc值表现出强烈一致.
  • 与12导心电图相比,mECG的DNN预测的QTc显示了名义上的差异.
  • 在mECG数据上,AI在检测QTc延长方面表现出很高的准确性 (AUC为0. 97,敏感度为80. 0%,特异性为94. 4%).

结论:

  • 人工智能DNN可以使用智能手机支持的电极从标准的12导电图中准确预测QTc.
  • 支持人工智能的mECG设备提供了具有成本效益的获得和先天长QT综合征查工具.
  • 在缺乏可访问或成本效益的12导电图的环境中,这种技术可能是有价值的.