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

Pulse rhythm01:30

Pulse rhythm

785
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
785

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

A quantum resistant chaos driven image encryption framework for secure visual data transmission in intelligent transportation systems.

Scientific reports·2026
Same author

Development and validation of a digital pathology artificial intelligence (DPAI)-derived risk score predicting Gleason grade group reclassification for patients who are candidates for active surveillance.

Future oncology (London, England)·2026
Same author

Impaired spatial coding and neuronal hyperactivity in the medial entorhinal cortex of aged APP knock-in mice.

Cell reports·2026
Same author

Respiratory Syncytial Virus-Associated Severe Acute Respiratory Infections in Hospitalized Patients at a University Hospital Center in Rabat, Morocco: An Epidemiological Overview.

Viruses·2026
Same author

Sustainable EV adoption with clustering and predictive modelling for optimal charging infrastructure in the West Midlands and North East UK.

Scientific reports·2026
Same author

Drug Prescribing Patterns in Geriatric Patients With Type 2 Diabetes Mellitus at a Tertiary Care Teaching Hospital: A Cross-Sectional Study.

Cureus·2026
Same journal

MELF: A multi-view ensemble learning framework for normative resting state EEG signal quality assessment.

Biomedical physics & engineering express·2026
Same journal

Rhythm-adaptive signal processing for effective ECG and PPG-based authentication under dynamic physiological conditions.

Biomedical physics & engineering express·2026
Same journal

Influence of storage temperature and humidity on entrance window deformations of phantoms for a horizontal beam geometry.

Biomedical physics & engineering express·2026
Same journal

Metamaterial-loaded waveguide antenna with integrated gradient-index cooling lens for abdominal subcutaneous adipose ablation.

Biomedical physics & engineering express·2026
Same journal

Adaptive deformation decomposition network for unsupervised medical image registration.

Biomedical physics & engineering express·2026
Same journal

Beyond the tumor: Recurrence-prone radiomics for prognostication in negative PSMA PET/CT scans of prostate cancer.

Biomedical physics & engineering express·2026
查看所有相关文章

相关实验视频

Updated: Jun 25, 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

实时边缘计算设计用于生理信号分析和分类.

Ravi Suppiah1, Kim Noori1,2,3, Khalid Abidi1,2

  • 1Electrical and Electronic Engineering, Newcastle University upon Tyne, NE1 7RU, United Kingdom.

Biomedical physics & engineering express
|May 23, 2024
PubMed
概括
此摘要是机器生成的。

这项研究证明了使用ARM Cortex-M4处理器解码生理信号的高精度,例如电肌图 (EMG) 和电脑图 (EEG). 这项研究使便携式嵌入式解决方案用于诸如康复机器人和日常生活辅助等应用.

关键词:
边缘计算是一种边缘计算.电脑脑电图 (EEG) 是一种电脑电图.电动肌谱学 电动肌谱学嵌入式系统 嵌入式系统生理信号分析生理信号分析

更多相关视频

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

2.3K
A Real-Time Wearable Electromyography Measurement System for Small Animals
05:00

A Real-Time Wearable Electromyography Measurement System for Small Animals

Published on: November 15, 2024

613

相关实验视频

Last Updated: Jun 25, 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
A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

2.3K
A Real-Time Wearable Electromyography Measurement System for Small Animals
05:00

A Real-Time Wearable Electromyography Measurement System for Small Animals

Published on: November 15, 2024

613

科学领域:

  • 生物医学工程 生物医学工程
  • 信号处理 信号处理
  • 嵌入式系统 嵌入式系统

背景情况:

  • 生理信号 (电肌图 - EMG,电脑图 - EEG) 为诸如康复机器人和设备控制等应用提供了至关重要的数据.
  • 当前基于PC的信号分析是计算密集型的,阻碍了在便携式,资源受限的嵌入式系统上部署用于现实世界的使用,例如改善日常生活活动 (ADL).

研究的目的:

  • 开发和验证一种嵌入式解决方案,用于在资源有限的微控制器上处理生理信号 (EMG和EEG).
  • 在ARM Cortex-M4处理器上研究使用Cepstrum功能来实现高分类准确性,最小的输入功能.

主要方法:

  • 算法设计,测试和验证在使用Python和Matlab的PC上进行.
  • 开发的算法部署在基于ARM的Cortex-M4嵌入式处理器上.
  • 为了分类,从EMG和EEG信号中提取了cepstrum的特征.

主要成果:

  • 嵌入式解决方案在五个EMG类别中实现了95.34%的平均分类精度.
  • 该系统显示了嵌入式板上的EEG信号的平均分类准确率为96.16%.
  • 塞普斯特征提供了高分类准确性与最小的输入,适合嵌入式部署.

结论:

  • 拟议的基于ARM Cortex-M4的嵌入式系统有效地以高精度处理生理信号 (EMG,EEG).
  • 这项研究促进了便携和用户友好的康复机器人和辅助设备解决方案的开发.
  • 使用Cepstrum特征被验证为一种有效的方法,用于嵌入式环境中准确的信号分类.