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

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 fully integrated sample-to-answer molecular diagnostic platform for rapid identification of four major <i>Aspergillus</i> species.

Frontiers in microbiology·2026
Same author

Living Polymerization Strategy for Conjugated Multiblock Copolymers: A Systematic Study of Structure-Property Relationships in Stretchability and Charge Transport.

Angewandte Chemie (International ed. in English)·2026
Same author

Multiplex Magnetic Biosensor Microarrays Facilitate Personalized Vaccination Schedules for SARS-CoV-2 Variants.

Biochip journal·2025
Same author

Silver Nanowire-Based Stretchable Transparent Electrodes for Precise Biosignal Sensing from Small Skin Areas.

ACS applied materials & interfaces·2025
Same author

Structural-Functional Brain Network Modulation using Transcranial Focused Ultrasound Stimulation: Implications on the Default Mode Network in Humans.

NeuroImage·2025
Same author

Swelling-Driven Ultrafast Soft Lithography.

Small methods·2025
Same journal

Plant-Plant Communication for Systemic Acquired Resistance under Biotic Stress Spatiotemporally Tracked by an <i>In Situ</i> Surface-Enhanced Raman Spectroscopy Aerosol Spraying Analyzer.

ACS sensors·2026
Same journal

Modulating Electronic Structure via Bimetallic D<i>-</i>Band Engineering toward an Ultrasensitive Sensor Platform for Caffeic Acid in Food.

ACS sensors·2026
Same journal

Indiscriminate <i>T</i><i>rans</i>-Cleavage Activity of CRISPR/SuCas12a2 Enables Sensitive Detection of SARS-CoV-2.

ACS sensors·2026
Same journal

Spin-State Engineering in 2D Metal-Organic Frameworks for Ultrasensitive Room-Temperature Ammonia Sensing.

ACS sensors·2026
Same journal

A Wearable Microneedle-Based Electrochemical Aptamer Sensor: Enabling Real-Time Dynamic NT-proBNP Monitoring for Enhanced Heart Failure Management.

ACS sensors·2026
Same journal

Double-Strand Gated Biosensor for Ultrasensitive T4 PNK Detection via λ-Exonuclease-Driven Background Suppression and Dimer G-Triplex Signal Amplification.

ACS sensors·2026
查看所有相关文章

相关实验视频

Updated: May 17, 2025

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment
10:03

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Published on: July 22, 2022

4.3K

移动睡眠阶段分析使用多通道可穿戴设备与可伸缩透明电极集成.

Hyun-Kyung Um1,2, Eunseo Noh3,4, Chaehwa Yoo5

  • 1Department of Mechanical and Biomedical Engineering, Ewha Womans University, Seoul 03760, Republic of Korea.

ACS sensors
|May 15, 2025
PubMed
概括
此摘要是机器生成的。

一个新的可穿戴设备使用可伸缩的电极来准确监测睡眠信号. 这项技术使人工智能驱动的睡眠分期能够改善家庭睡眠障碍诊断.

关键词:
生物潜能信号的使用深度学习算法的算法.电脑脑电图 (electroencephalography) 是一种脑电图.睡眠阶段分析分析可伸缩的透明电极可以伸展.可穿戴设备可穿戴设备.

更多相关视频

Multi-Modal Home Sleep Monitoring in Older Adults
07:40

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

7.6K
A Simple and Scalable Fabrication Method for Organic Electronic Devices on Textiles
06:21

A Simple and Scalable Fabrication Method for Organic Electronic Devices on Textiles

Published on: March 13, 2017

10.4K

相关实验视频

Last Updated: May 17, 2025

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment
10:03

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Published on: July 22, 2022

4.3K
Multi-Modal Home Sleep Monitoring in Older Adults
07:40

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

7.6K
A Simple and Scalable Fabrication Method for Organic Electronic Devices on Textiles
06:21

A Simple and Scalable Fabrication Method for Organic Electronic Devices on Textiles

Published on: March 13, 2017

10.4K

科学领域:

  • 生物医学工程 生物医学工程
  • 睡眠医学 睡眠医学
  • 可穿戴技术可穿戴技术

背景情况:

  • 睡眠障碍在老年人群中普遍存在,影响整体健康.
  • 多睡眠视图 (PSG) 是诊断的黄金标准,但很不方便.
  • 需要可访问,准确的家庭睡眠监测解决方案.

研究的目的:

  • 开发一个可穿戴设备 (WD),具有可伸缩透明电极 (STEs),用于多信号睡眠监测.
  • 实现人工智能 (AI) 用于睡眠分阶段,使用来自WD的数据.
  • 为了评估WD的表现与PSG标准相比.

主要方法:

  • 开发了一种具有导电性和灵活性STEs的WD,用于记录生物信号.
  • 收集的多信号数据包括脑电图 (EEG),眼电图 (EOG),肌电图 (EMG),光电图和运动图.
  • 在多信号数据上训练了一种AI模型,用于自动化睡眠分阶段.

主要成果:

  • 该WD记录了高精度和低噪音的生物信号,与PSG相比.
  • 在人工智能驱动的睡眠分期中,获得了73.2%的准确性和0.72的宏F1得分.
  • 睡眠分期的准确性仅在使用EEG,EOG和EMG信号时略有改善.

结论:

  • 开发的WD提供了一个紧的多信号解决方案,方便在家监测睡眠.
  • 这项技术有可能成为个性化睡眠疗法的评估工具.
  • 未来的设计可以通过专注于核心电生理信号来简化.