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相关概念视频

Discrete Fourier Transform01:15

Discrete Fourier Transform

831
The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
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Frequency-Domain Interpretation of PD Control01:24

Frequency-Domain Interpretation of PD Control

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Proportional-Derivative (PD) controllers are widely used in fan control systems to improve stability and performance. A fan control system can be effectively represented using a Bode plot to illustrate the impact of a PD controller through its transfer function. The Bode plot visually conveys how PD control modifies the fan's response across various frequencies, providing a frequency domain interpretation of the controller's behavior.
The proportional control gain, combined with the...
337
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

355
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
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¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

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When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
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IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

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Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
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Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

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Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
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相关实验视频

Updated: Jan 10, 2026

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
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增强的光谱-时间特征提取用于假肢控制,使用变化模式分解.

Uzma Shafiq1, Asim Waris2, Faisal Amin1

  • 1Department of Biomedical Engineering and Sciences, School of Mechanical and Manufacturing Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan.

Scientific reports
|November 22, 2025
PubMed
概括

这项研究引入了一种新的光谱-时间特征,旨在通过降低噪音敏感性来改善截肢者的康复系统. 这种新方法在区分手势方面取得了很高的准确性,提高了假肢的控制.

关键词:
电动肌图学 电动肌图学模式识别 模式识别 模式识别康复 康复 康复 康复时间光谱 - 时间光谱.变化模式分解的变化模式分解

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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
  • 康复技术 康复技术 康复技术

背景情况:

  • 目前的康复系统正在与噪音敏感性和不良的手势识别斗争.
  • 现有的模式识别技术对截肢者应用有限.
  • 在假肢控制中,特征提取对于区分类似手势至关重要.

研究的目的:

  • 为加强康复系统的实施提出一个新的光谱-时间特征集.
  • 为了提高假肢控制系统的准确性和稳定性.
  • 解决现有的噪声敏感技术的局限性.

主要方法:

  • 利用变化模式分解 (VMD) 将电肌学 (EMG) 信号分解为变化模式函数 (VMF).
  • 应用单数值分解 (SVD) 来从每个VMF中获得单数值表示.
  • 将拟议的光谱-时间特征与时间域和其他光谱-时间特征集进行比较.

主要成果:

  • 拟议的特征集在数据集I (健康受试者,4次手/手腕运动) 上实现了97%的准确性.
  • 在数据集 (Ninapro DB2,DB3,DB9) 中表现出高概括性,准确率分别为91.43%,95.66%和98.16%.
  • 确定了6个VMF作为平衡精度和执行时间的最佳数量.

结论:

  • 新的光谱-时间特征集显著提高了康复系统的性能.
  • 拟议的技术为健康和截肢的用户提供了更好的噪音弹性和通用性.
  • 这一进步有望实现更直观,更有效的假肢控制.