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相关概念视频

Electrocardiogram01:29

Electrocardiogram

2.5K
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...
2.5K
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

1.4K
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....
1.4K
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

643
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...
643
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

238
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
238
Upsampling01:22

Upsampling

264
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
264
Downsampling01:20

Downsampling

187
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
187

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相关实验视频

Updated: Jul 20, 2025

Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism
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Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism

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电心电图信号压缩使用自适应调整Q波段转换和修改的死区量化器.

Hardev Singh Pal1, A Kumar1, Amit Vishwakarma1

  • 1Discipline of Electronics and Communication Engineering, PDPM Indian Institute ofInformation Technology, Design and Manufacturing Jabalpur, Jabalpur 482005, India.

ISA transactions
|July 31, 2023
PubMed
概括
此摘要是机器生成的。

这项研究介绍了一种高效的心电图 (ECG) 压缩算法,使用自适应可调Q波段转换和Sparse灰狼优化. 该方法显著减少了远程医疗的数据大小,同时保持了信号完整性.

关键词:
适应调整式Q波段转换器死区定量器是什么?电脑心电图信号压缩压缩优化算法的优化算法运行长度编码的编码在 Sparse-GWO 中.

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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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Ultrasound-based Pulse Wave Velocity Evaluation in Mice
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Ultrasound-based Pulse Wave Velocity Evaluation in Mice

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相关实验视频

Last Updated: Jul 20, 2025

Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism
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Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism

Published on: September 1, 2014

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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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Ultrasound-based Pulse Wave Velocity Evaluation in Mice
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Ultrasound-based Pulse Wave Velocity Evaluation in Mice

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科学领域:

  • 生物医学工程 生物医学工程
  • 信号处理 信号处理
  • 数据压缩数据压缩

背景情况:

  • 电心电图 (ECG) 信号对于诊断心脏病至关重要.
  • 大量的心电图数据在远程医疗中带来了存储和带宽的挑战.
  • 需要高效的压缩算法来有效管理心电图数据.

研究的目的:

  • 提出一种新的,高效的心电图信号压缩算法.
  • 为了优化压缩参数使用新的元启发算法.
  • 评估算法的性能与现有方法相比.

主要方法:

  • 适应调整Q波形变换 (TQWT) 用于信号分解.
  • 修改的死区量化器 (DZQ) 用于值和量化.
  • 稀疏灰狼优化 (Sparse-GWO) 用于参数优化.
  • 运行长度编码 (RLE) 用于高效的数据编码.

主要成果:

  • 拟议的算法实现了20.56.6的压缩比 (CR).
  • 保持高信号质量,百分比平方根平均差异 (PRD1) 为3.21%,信号与噪声比 (SNR) 为30.62dB.
  • 与原始GWO和PSO变体相比,Sparse-GWO显示了较短的计算时间.
  • 质量评分 (QS1) 的平均值为7.79,表明对心电图形态的影响最小.

结论:

  • 新的ECG压缩算法提供了高压缩比,信号扭曲最小.
  • Sparse-GWO提供了一种优化压缩参数的高效方法.
  • 开发的算法适用于需要高效处理心电图数据的远程医疗应用.