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

754
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...
754

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 journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026

相关实验视频

Updated: May 31, 2025

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

Semi-automated Optical Heartbeat Analysis of Small Hearts

Published on: September 16, 2009

12.2K

视频心率检测的优化基于改进的SSA算法.

Chengcheng Duan1, Xiangyang Liang1,2, Fei Dai3

  • 1School of Defence Science and Technology, Xi'an Technological University, Xi'an 710021, China.

Sensors (Basel, Switzerland)
|January 25, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的方法,通过减少环境光干扰来提高远程光聚光显微镜 (rPPG) 的精度. 改进的技术实现了可靠的心率检测,与基于接触的方法相提并论.

关键词:
心率是指心率是如何发生的.远程摄影复合声学 (Remote photoplethysmography) 是一种使用远程摄影的方法.单一的频谱分析.

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

19.8K
Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health
05:51

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

Published on: February 21, 2025

361

相关实验视频

Last Updated: May 31, 2025

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

Semi-automated Optical Heartbeat Analysis of Small Hearts

Published on: September 16, 2009

12.2K
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

19.8K
Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health
05:51

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

Published on: February 21, 2025

361

科学领域:

  • 生物医学工程 生物医学工程
  • 信号处理 信号处理
  • 生理监测 生理监测

背景情况:

  • 环境光线显著干扰远程光电显微镜 (rPPG) 的精度.
  • 现有的rPPG方法在不同的照明条件下难以提供可靠的心率检测.
  • 基于接触的方法提供了高精度,但缺乏方便和远程监控能力.

研究的目的:

  • 开发一种增强的rPPG方法,能够抵御环境光干扰.
  • 为了提高非接触式心率检测的准确性和可靠性.
  • 为了实现与传统的基于接触的设备可比的心率监测.

主要方法:

  • 同时收集面部感兴趣区域 (ROI) 信号和背景噪声.
  • 差分处理ROI和噪声信号以抑制干扰并提高信号质量.
  • 增强的单一频谱分析 (SSA) 具有适应性参数优化,用于心率信号特征.

主要成果:

  • 拟议的差分处理有效地减轻了背景噪声,并提高了rPPG信号质量.
  • 适应性SSA参数优化可以提高心率检测的准确性.
  • 实验验证显示,心率检测精度显著提高,减少光干扰效应.

结论:

  • 新的rPPG方法有效地克服了环境光干扰的挑战.
  • 该方法在心率检测方面表现出高精度和可靠性.
  • 这种非接触式技术的性能与已有的基于接触的心率监测系统相提并论.