Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

527
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
527
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

57
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
57
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

6.0K
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...
6.0K
Instrumentation Amplifier01:25

Instrumentation Amplifier

531
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...
531
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

151
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
151
Electrocardiogram01:29

Electrocardiogram

2.4K
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...
2.4K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Linking electric field directionality to treatment outcome in OCD: Insights from patient-specific tDCS modeling.

Translational psychiatry·2026
Same author

Fracture resistance of maxillary premolar veneers using various preparation designs.

Journal of prosthodontics : official journal of the American College of Prosthodontists·2026
Same author

EEG-based brain-computer interface with immersive virtual reality for phantom limb pain: a single-center pilot neurofeedback trial.

Frontiers in human neuroscience·2026
Same author

Computational modeling of paresthesia generated by SCS using a percutaneous lead: a proof-of-concept theoretical model based on an arbitrary somatotopic distribution.

Biomedical physics & engineering express·2026
Same author

A Clinically Compatible Method for Generating Preoperative Finite Element Models to Simulate Facial Appearance and Movements in Orthognathic Surgery.

International journal for numerical methods in biomedical engineering·2026
Same author

Biodose Tools updates for criticality accidents and interlaboratory comparisons.

International journal of radiation biology·2026
Same journal

Rapid personalisation of cardiovascular models using invasively measured right ventricular pressure.

Computers in biology and medicine·2026
Same journal

Biologically inspired mechanisms for enhancing robustness in EEG signal modeling: Challenges, opportunities, and perspectives.

Computers in biology and medicine·2026
Same journal

Machine learning-based detection of missed inspiratory efforts using esophageal pressure during noisy pressure support ventilation.

Computers in biology and medicine·2026
Same journal

A computational model of chemically- and mechanically-induced thrombus formation in cerebral aneurysms.

Computers in biology and medicine·2026
Same journal

An improved catch fish optimization based deep learning model for Parkinson disease classification using EEG signal.

Computers in biology and medicine·2026
Same journal

Assessing the robustness of evaluation metrics for synthetic ECG signal quality.

Computers in biology and medicine·2026
查看所有相关文章

相关实验视频

Updated: Jul 11, 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

637

一个复杂度降低的ECG成像模型,用于规范化的反转优化.

Maureen Manche1, Karim El Houari2, Amar Kachenoura3

  • 1University of Rennes (LTSI), Inserm - UMR 1099, Rennes, 35000, France; Nantes Université, Ecole Centrale Nantes, LS2N UMR CNRS 6004, Nantes, 44000, France.

Computers in biology and medicine
|November 13, 2023
PubMed
概括
此摘要是机器生成的。

一个新的低分辨率心脏干模型为逆问题心电图生成现实的心电图案. 该工具有助于诊断心律失常,并评估逆转方法,以改善患者护理.

关键词:
3D心脏-干现象学模型电心电图反向问题超参数识别识别 超参数识别灵敏度分析是一种灵敏度分析.

更多相关视频

In Silico Clinical Trials for Cardiovascular Disease
09:09

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

1.8K
Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
12:09

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

13.7K

相关实验视频

Last Updated: Jul 11, 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

637
In Silico Clinical Trials for Cardiovascular Disease
09:09

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

1.8K
Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
12:09

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

13.7K

科学领域:

  • 生物医学工程 生物医学工程
  • 计算心脏病学 计算心脏病学
  • 医疗成像医学成像

背景情况:

  • 心电图的反向问题对于诊断和治疗心律失常至关重要.
  • 当前的心脏模拟模型往往过于复杂或缺乏现实的输出.
  • 需要精确的心脏电行为模拟来评估反转方法.

研究的目的:

  • 设计一个低分辨率的心脏干模型,能够生成现实的心脏电图和心电图 (ECG).
  • 评估基于蒂霍诺夫的不同反转方法的性能,以确定各种心脏病的规范化参数.

主要方法:

  • 使用有限元法和单域形式主义,开发了一种简化的心脏-干几何模型.
  • 通过灵敏度分析和进化优化实现模型减小技术,以确定关键参数.
  • 使用合成心电图与健康,缺血和心室动脉障碍情景的参考数据进行了基于蒂霍诺夫的反转方法的比较.

主要成果:

  • 敏感性分析确定了58个影响力参数中的25个影响力参数,影响力有区域差异.
  • 合成的ECG与参考数据达到了88%的相关性,保留了特征形状.
  • 强大的通用交叉验证和不一致原则方法在反向问题解决中表现出卓越的性能.

结论:

  • 拟议的低分辨率心脏干模型有效地模拟了健康和病理病例的现实心脏电活动.
  • 该模型有助于评估反转方法,具体技术显示出高成功率和低错误率.
  • 这种模拟工具支持了心律失常诊断和导管治疗方面的进展.