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

Energy Losses in Transformers01:21

Energy Losses in Transformers

874
In an ideal transformer, it is assumed that there are no energy losses, and, hence, all the power at the primary winding is transferred to the secondary winding. However, in reality,  the transformers always have some energy losses, and, hence, the output power obtained at the secondary winding is less than the input power at the primary winding due to energy losses.
There are four main reasons for energy losses in transformers.
The first cause can be  the high resistance of the...
874
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

5.3K
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...
5.3K
The Ideal Transformer01:26

The Ideal Transformer

393
In single-phase two-winding transformers, two windings are coiled around a magnetic core characterized by cross-sectional area A and magnetic permeability μ. A phasor current i1 enters the left winding while i2 exits the right winding, establishing the fundamental working of the transformer through electromagnetic principles.
Ampere's Law forms the basis of understanding the magnetic field within the transformer. It states that the integral of the magnetic field intensity's...
393
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

152
In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
152
Transformers in Distribution System01:27

Transformers in Distribution System

102
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
102
Equivalent Circuits for Practical Transformers01:28

Equivalent Circuits for Practical Transformers

422
The practical equivalent circuits of single-phase two-winding transformers exhibit significant deviations from their idealized versions due to the inherent properties of winding resistance and finite core permeability. These properties result in real and reactive power losses, affecting the transformer's performance. Understanding these deviations is crucial for designing more efficient transformers.
In a practical transformer, each winding exhibits resistance and leakage reactance. The...
422

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

Successes and Challenges in Implementing Stepped Care for Mental Health in Jordan: A Qualitative Process Evaluation.

Nursing & health sciences·2025
Same author

Quantum quench dynamics of geometrically frustrated Ising models.

Nature communications·2024
Same author

Intelligent Human Operator Mental Fatigue Assessment Method Based on Gaze Movement Monitoring.

Sensors (Basel, Switzerland)·2024
Same author

AI-Based Approach to One-Click Chronic Subdural Hematoma Segmentation Using Computed Tomography Images.

Sensors (Basel, Switzerland)·2024
Same author

High gain differentiator based neuro-adaptive arbitrary order sliding mode control design for MPE of standalone wind power system.

PloS one·2024
Same author

A Machine Learning-Based Correlation Analysis between Driver Behaviour and Vital Signs: Approach and Case Study.

Sensors (Basel, Switzerland)·2023

相关实验视频

Updated: Jul 3, 2025

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
08:22

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Published on: April 26, 2024

1.8K

基于多跳转连接解码器的变压器进行远程心率估计:在野外的方法和评估.

Walaa Othman1, Alexey Kashevnik1, Ammar Ali2

  • 1St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS), 199178 St. Petersburg, Russia.

Sensors (Basel, Switzerland)
|February 10, 2024
PubMed
概括

这项研究引入了一种基于变压器的新方法,通过分析面部皮肤颜色变化,从视频中远程估计心率. 该方法实现了最先进的准确性,为非侵入性健康监测提供了一个新的工具.

关键词:
机器学习是机器学习.远程心率估计 远程心率估计视频分析视频分析重要标志 重要标志

更多相关视频

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
08:12

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

Published on: June 5, 2019

19.9K
Semi-automated Optical Heartbeat Analysis of Small Hearts
12:10

Semi-automated Optical Heartbeat Analysis of Small Hearts

Published on: September 16, 2009

12.3K

相关实验视频

Last Updated: Jul 3, 2025

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
08:22

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Published on: April 26, 2024

1.8K
Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
08:12

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

Published on: June 5, 2019

19.9K
Semi-automated Optical Heartbeat Analysis of Small Hearts
12:10

Semi-automated Optical Heartbeat Analysis of Small Hearts

Published on: September 16, 2009

12.3K

科学领域:

  • 生物医学工程 生物医学工程
  • 计算机视觉 计算机视觉
  • 信号处理 信号处理

背景情况:

  • 远程心率监测对于健康评估至关重要.
  • 现有的方法在准确性和可访问性方面存在局限性.
  • 繁忙的生活方式需要方便,非侵入性的生命体征监测.

研究的目的:

  • 开发一种新,准确和可访问的远程心率估计方法.
  • 为了利用变压器架构和biLSTM进行增强的基于视频的心率分析.
  • 为了研究最佳的特征提取和框架选择以提高准确性.

主要方法:

  • 使用3DDFA地标的面部区域细分.
  • 从视频中提取空间和全球特征.
  • 使用具有多跳转连接biLSTM解码器的变压器架构进行心率估计.
  • 分析与血液体积变化相关的皮肤颜色变化.

主要成果:

  • 拟议的方法在LGI-PPGI和Vision for Vitals数据集上实现了最先进的性能.
  • 与现有的远程心率估计技术相比,证明了更高的准确性.
  • 确定了最佳的特征提取器和数,以提高精度.

结论:

  • 这种基于变压器的新方法为远程心率估计提供了高度准确的解决方案.
  • 这种方法提升了非侵入性生命体征监测能力.
  • 这些发现为更容易获得和可靠的健康跟踪解决方案铺平了道路.