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

Neural Control of Respiration01:18

Neural Control of Respiration

4.5K
The neural regulation of respiration is a meticulously coordinated process primarily controlled by the respiratory centers located within the brainstem. These centers, composed of specialized neurons, transmit nerve impulses that control the contraction and relaxation of our respiratory muscles.
Respiratory Centers in the Brainstem
Two primary areas comprise the respiratory center: the medullary respiratory center in the medulla oblongata and the pontine respiratory group in the pons. The...
4.5K
Assessment of Respiration01:23

Assessment of Respiration

1.8K
The respiratory system's basic structures and primary functions lay the foundation for nurses' comprehensive respiratory assessments. This assessment includes subjective and objective data to gauge the patient's respiratory health.
Subjective Assessment: Nurses interview the patient to gather information directly during the subjective assessment. It includes questions about the individual's medical history, medications, and symptoms, focusing on past respiratory conditions like...
1.8K

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

Biophysical and functional evaluation of concentric electrodes for localised non-invasive FES.

Biomedical physics & engineering express·2026
Same author

Step-Length Estimation in Asymmetric Gait Using a Single Lower-Back IMU Data and a Biomechanical Model Inspired by a Double Inverted Pendulum.

Bioengineering (Basel, Switzerland)·2026
Same author

Load shift keying communication techniques in implantable devices.

Physical and engineering sciences in medicine·2024
Same author

Utilizing Motion Capture Systems for Instrumenting the OCRA Index: A Study on Risk Classification for Upper Limb Work-Related Activities.

Sensors (Basel, Switzerland)·2023
Same author

Instrumented Timed Up and Go Test (iTUG)-More Than Assessing Time to Predict Falls: A Systematic Review.

Sensors (Basel, Switzerland)·2023
Same author

Embedded Electronic Sensor for Monitoring of Breathing Activity, Fitting and Filter Clogging in Reusable Industrial Respirators.

Biosensors·2022

相关实验视频

Updated: Jan 10, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.2K

实时检测工业呼吸器适合使用嵌入式呼吸传感器和机器学习算法.

Pablo Aqueveque1, Pedro Pinacho-Davidson2, Emilio Ramos2

  • 1Department of Electrical Engineering, Universidad de Concepción, Concepción 4070409, Chile.

Biosensors
|November 26, 2025
PubMed
概括

一个新的系统使用嵌入式呼吸传感器和机器学习来持续实时监控呼吸器的适应. 该技术可提供可靠的,非侵入性检测密封退化,提高高风险行业的工人安全.

关键词:
呼吸监测 呼吸监测 呼吸监测嵌入式监控传感器监控传感器机器学习是机器学习.职业安全 职业安全 职业安全呼吸器适应性测试试验 呼吸器适应性测试传感器设备的传感器设备.

更多相关视频

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

893
Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
09:42

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

Published on: January 24, 2025

1.2K

相关实验视频

Last Updated: Jan 10, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.2K
Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

893
Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
09:42

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

Published on: January 24, 2025

1.2K

科学领域:

  • 职业健康和安全问题 职业健康和安全问题
  • 生物医学工程 生物医学工程
  • 传感器技术 传感器技术

背景情况:

  • 有效的面部密封对于紧密的工业呼吸器至关重要.
  • 传统的适合性测试方法 (QLFT,QNFT) 是周期性的,无法检测使用中的适合性退化.
  • 矿业,制造业和建筑业等高风险行业需要可靠的呼吸器性能.

研究的目的:

  • 开发和验证一个实时呼吸器适应检测系统.
  • 为了能够持续,非侵入性地监测呼吸器面密封的完整性.
  • 通过立即适应反来提高职业安全和监管合规性.

主要方法:

  • 呼吸器内部的一个紧的传感器模块可以测量压力,温度和湿度.
  • 数据通过蓝牙低能耗 (BLE) 传输到智能手机,以便在设备上进行机器学习推断.
  • 采用了多模式生物传感 (压力,热-湿度信号) 和循环同步模式分析.

主要成果:

  • 机器学习模型 (Random Forest,SVM,XGBoost) 在检测合适/不合适条件时获得了超过95%的F1分数.
  • 该系统展示了呼吸器面密封的可靠实时读数.
  • 验证包括k倍交叉验证和超过10,000个呼吸周期的离开一个主体的评估.

结论:

  • 开发的系统提供了一个可扩展,具有成本效益和现场部署的解决方案,用于持续监测呼吸器的适应性.
  • 它依赖于内部生理信号,与传统的外部测量技术不同.
  • 允许在工作轮班期间实时发出警报,大大提高了职业安全.