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

Upsampling01:22

Upsampling

569
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...
569
Downsampling01:20

Downsampling

576
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...
576

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

MicroFace maps microglial morphology remodeling, revealing spatial zones and bifurcated trajectories during brain microinjury recovery.

iScience·2026
Same author

Human brain slice cultures: translational applications and ethical considerations.

Life science alliance·2025
Same author

Interfacing with the Brain: How Nanotechnology Can Contribute.

ACS nano·2025
Same author

Thermal Threshold for Localized Blood-Brain Barrier Disruption.

IEEE transactions on bio-medical engineering·2025
Same author

Iron-sulfur cluster loss in mitochondrial CISD1 mediates PINK1 loss-of-function phenotypes.

eLife·2024
Same author

Why some BCI should still be called BMI.

Nature communications·2024
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

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

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

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

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

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

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

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

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

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

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
查看所有相关文章

相关实验视频

Updated: Jan 9, 2026

High Density Event-related Potential Data Acquisition in Cognitive Neuroscience
08:33

High Density Event-related Potential Data Acquisition in Cognitive Neuroscience

Published on: April 16, 2010

13.0K

优化神经数据分析:为明确的信号处理确定最小记录长度.

Ali Amanpour, Timo Baumann, Ulrich G Hofmann

    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
    此摘要是机器生成的。

    研究人员通过确定理想的记录片段长度来优化神经数据分析. 3秒的时间平衡了数据表示和计算负载,用于机器学习对电生理信号的分类.

    更多相关视频

    Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control
    09:37

    Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control

    Published on: July 5, 2015

    9.5K
    Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
    08:51

    Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

    Published on: November 1, 2019

    6.0K

    相关实验视频

    Last Updated: Jan 9, 2026

    High Density Event-related Potential Data Acquisition in Cognitive Neuroscience
    08:33

    High Density Event-related Potential Data Acquisition in Cognitive Neuroscience

    Published on: April 16, 2010

    13.0K
    Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control
    09:37

    Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control

    Published on: July 5, 2015

    9.5K
    Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
    08:51

    Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

    Published on: November 1, 2019

    6.0K

    科学领域:

    • 神经科学是一个神经科学.
    • 计算生物学 计算生物学
    • 信号处理 信号处理

    背景情况:

    • 先进的电极阵列产生了庞大的神经数据集,带来了重大的计算挑战.
    • 实时分析管道对于处理非静止和杂的神经数据至关重要.

    研究的目的:

    • 应用机器学习 (ML) 算法来创建功能性地图,将神经元信号与解剖位置相关联.
    • 确定最佳的记录片段长度,以有效处理和分析密集的神经记录.

    主要方法:

    • 实施了一种算法,用于评估系统变化的记录长度的光谱信息.
    • 评估了短片段和原始较长的录音之间的相似性.
    • 利用来自老鼠大脑的密集记录进行分析.

    主要成果:

    • 发现3秒的录制时间满足了所有频道中适度的要求.
    • 这个片段长度有效地代表了用于后续分析的原始数据.
    • 减少微探头来源的电生理信号的持续ML分类的计算负载.

    结论:

    • 确定最佳的记录片段长度对于高效的神经数据分析至关重要.
    • 3秒的持续时间提供了数据保真性和计算效率之间的平衡.
    • 这一发现支持开发精简的ML管道,用于大规模的神经记录.