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

Series Impedances: Three-Phase Line01:27

Series Impedances: Three-Phase Line

409
Calculating series impedances for a three-phase overhead line involves evaluating resistances and inductive reactances in a network with three-phase and multiple neutral conductors grounded at regular intervals.
Using Kirchhoff's laws, an integro-differential equation for the network is derived. This equation accounts for unbalanced phase currents, which may induce return currents through neutral wires and the earth, seeking the least impedance path. Earth return conductors can replace the...
409
Bus Impedance Matrix01:24

Bus Impedance Matrix

488
Calculating subtransient fault currents for three-phase faults in an N-bus power system involves using the positive-sequence network. When a three-phase short circuit occurs at a specific bus, the analysis uses the superposition method to evaluate two separate circuits.
In the first circuit, all machine voltage sources are short-circuited, leaving only the prefault voltage source at the fault location. The positive-sequence bus impedance matrix can be determined by solving the nodal equations,...
488
Electrical Systems01:21

Electrical Systems

702
In electrical engineering, the analysis of networks composed of passive linear components — resistors (R), capacitors (C), and inductors (L) — is fundamental. These components are organized into circuits where the relationship between input and output can be analyzed using transfer functions. The transfer function of an RLC circuit, which relates the voltage across a capacitor to the input voltage, can be derived using Kirchhoff's laws.
To derive the transfer function, consider an RLC...
702
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

469
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
469
Bode Plots Construction01:24

Bode Plots Construction

1.1K
The Bode plot is an essential tool in control system analysis, mapping the frequency response of a system through a magnitude plot and a phase plot, both against a logarithmic frequency axis. To construct a Bode plot, consider the transfer function H(ω):
1.1K
Impedance Combination01:21

Impedance Combination

697
Consider a string of christmas lights, each bulb symbolizing an impedance element. In this series configuration, the flow of electric current remains uniform across every component. This behavior aligns with Kirchhoff's Voltage Law (KVL), which asserts that the total impedance in such a setup equals the sum of individual impedances—akin to resistors in series. It follows that the voltage from the power source is distributed proportionally among these components, adhering to the voltage...
697

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

Correction: Correlation study: electrical impedance-based approximation of knee joint angle and extensor strength during concentric knee extension.

BMC musculoskeletal disorders·2026
Same author

Evaluating the electrical stimulation of bone cells based on an induced transmembrane potential model and intracellular calcium levels.

Journal of tissue engineering·2026
Same author

Correlation study: electrical impedance-based approximation of knee joint angle and extensor.

BMC musculoskeletal disorders·2026
Same author

Machine Learning based Estimation of Aortic Pressure Curves by Electrical Impedance Tomography.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Accelerometry is a valid method to distinguish between healthy and 6-OHDA-lesioned parkinsonian rats.

Scientific reports·2025
Same author

In Vivo Classification of Oral Lesions Using Electrical Impedance Spectroscopy.

IEEE transactions on bio-medical engineering·2025

相关实验视频

Updated: Jan 9, 2026

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
09:32

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

12.8K

为了预测未来的阻抗分布,使用EIT测量的时间序列,使用一次性网络进行预测.

Jacob P Thones, Sascha Spors

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    概括

    这项研究使用机器学习 (ML) 与长短期记忆 (LSTM) 和变异自编码器 (VAE) 来改善电阻断断层扫描 (EIT) 成像. 这种数据驱动的方法提高了EIT对重症监测患者的可靠性.

    科学领域:

    • 医疗成像医学成像
    • 数据科学数据科学数据科学
    • 电气工程 电气工程

    背景情况:

    • 电阻断层扫描 (EIT) 越来越多地使用数据驱动技术.
    • 机器学习 (ML) 有效地解决了EIT图像重建中的非线性,反向和错误设置的问题.
    • 可靠的成像对于EIT应用至关重要,例如监测重症监护患者.

    研究的目的:

    • 探索与长短期记忆 (LSTM) 和变量自编码器 (VAE) 结合的 EIT 循环测量的潜力.
    • 预测下一个时间实例阻抗分布,以改进EIT图像重建.
    • 为了能够及早发现患者与已确定的生理周期的偏差.

    主要方法:

    • 应用EIT测量的反复序列.
    • 长期短期记忆 (LSTM) 细胞的整合.
    • 使用变量自编码器 (VAE) 框架.

    主要成果:

    • 在EIT中显示了预测未来阻抗分布的潜力.
    • 展示了LSTM和VAE用于时间序列EIT数据的新组合.
    • 表明了提高图像准确度和早期异常检测的可能性.

    更多相关视频

    Author Spotlight: Advancements in Impedance Monitoring for Cochlear Implant Surgery
    06:54

    Author Spotlight: Advancements in Impedance Monitoring for Cochlear Implant Surgery

    Published on: August 4, 2023

    1.7K
    Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit
    05:56

    Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit

    Published on: September 6, 2024

    5.9K

    相关实验视频

    Last Updated: Jan 9, 2026

    Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
    09:32

    Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

    Published on: December 18, 2016

    12.8K
    Author Spotlight: Advancements in Impedance Monitoring for Cochlear Implant Surgery
    06:54

    Author Spotlight: Advancements in Impedance Monitoring for Cochlear Implant Surgery

    Published on: August 4, 2023

    1.7K
    Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit
    05:56

    Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit

    Published on: September 6, 2024

    5.9K

    结论:

    • 拟议的LSTM-VAE模型对推进EIT应用具有前景.
    • 这种数据驱动的方法可以提高EIT系统的可靠性和预测能力.
    • 未来的工作可以专注于密集护理监测的临床验证.