• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一种用于通过分层衣物进行精确实时心电图和心率变异性监测的家庭护理床上硬件系统。

A homecare in-bed hardware system for precise real-time ECG and HRV monitoring with layered clothing.

作者信息

Kim Minjae, Teeravichayangoon Premravee, Park Daehyeok, Shao Jiaying, Seong Geunchang, Seok Dongyeol, Kim Chul

机构信息

Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.

Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea; Program of Brain and Cognitive Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.

出版信息

Biosens Bioelectron. 2025 Dec 1;289:117838. doi: 10.1016/j.bios.2025.117838. Epub 2025 Aug 6.

DOI:10.1016/j.bios.2025.117838
PMID:40784168
Abstract

Continuous monitoring of heart activity, particularly electrocardiogram (ECG) waveforms and heart rate variability (HRV), is essential for the early detection of cardiac diseases. However, conventional wearable ECG systems typically require direct skin contact and external software for signal acquisition and analysis, limiting user comfort and long-term usability. This study presents an unobtrusive contactless bed-embedded system that enables wearable-free, comfortable, and precise monitoring of ECG and HRV without the need for the subject to undress. Flexible active electrodes achieve high signal acquisition performance and strong noise immunity by employing double active shielding for noise reduction of 64 dB. The analog front-end has an input-referred noise of 0.49 μV within the QRS bandwidth. Further noise reduction of 27.5 dB is obtained by a non-contact driven-right-leg. Real-time signal denoising, R-peak detection, and HRV calculation are performed on the field-programmable gate array for on-hardware processing, running a stationary wavelet transform and adaptive thresholding. The system demonstrates over 70% R-peak detection precision for users wearing even thick clothing during a 5-minute measurement. This system enables R-peak detection when the subject makes slight movements.

摘要

持续监测心脏活动,尤其是心电图(ECG)波形和心率变异性(HRV),对于心脏病的早期检测至关重要。然而,传统的可穿戴式ECG系统通常需要直接接触皮肤并借助外部软件进行信号采集和分析,这限制了用户的舒适度和长期可用性。本研究提出了一种不引人注意的非接触式床嵌入式系统,该系统无需受试者脱衣即可实现无穿戴、舒适且精确地监测ECG和HRV。柔性有源电极通过采用双重有源屏蔽来降低64 dB的噪声,从而实现了高信号采集性能和强抗噪声能力。模拟前端在QRS带宽内的输入参考噪声为0.49 μV。通过非接触式驱动右腿电路可进一步降低27.5 dB的噪声。实时信号去噪、R波检测和HRV计算在现场可编程门阵列上进行硬件处理,运行平稳小波变换和自适应阈值处理。该系统在5分钟测量期间,对于穿着厚衣服的用户,R波检测精度超过70%。当受试者轻微移动时,该系统也能够进行R波检测。

相似文献

1
A homecare in-bed hardware system for precise real-time ECG and HRV monitoring with layered clothing.一种用于通过分层衣物进行精确实时心电图和心率变异性监测的家庭护理床上硬件系统。
Biosens Bioelectron. 2025 Dec 1;289:117838. doi: 10.1016/j.bios.2025.117838. Epub 2025 Aug 6.
2
Effects of electrocardiographic noise on ultra-short term Heart Rate Variability indices.心电图噪声对超短期心率变异性指标的影响。
Comput Biol Med. 2025 Sep;196(Pt C):110803. doi: 10.1016/j.compbiomed.2025.110803. Epub 2025 Aug 6.
3
Prescription of Controlled Substances: Benefits and Risks管制药品的处方:益处与风险
4
Non-Direct Contact ECG Signal Classification Using a Hybrid Deep Learning Framework with Validation in Bedside Heart Rate Variability Analysis.使用混合深度学习框架进行非直接接触式心电图信号分类及其在床边心率变异性分析中的验证
IEEE J Biomed Health Inform. 2025 Aug 25;PP. doi: 10.1109/JBHI.2025.3601807.
5
An open-access simultaneous electrocardiogram and phonocardiogram database.一个开放获取的同时心电图和心音图数据库。
Physiol Meas. 2024 May 15;45(5). doi: 10.1088/1361-6579/ad43af.
6
An efficient sparse code shrinkage technique for ECG denoising using empirical mode decomposition.一种基于经验模态分解的用于心电图去噪的高效稀疏码收缩技术。
Technol Health Care. 2025 Jul;33(4):1773-1786. doi: 10.1177/09287329241302749. Epub 2025 Feb 2.
7
Are Wearable Photoplethysmogram-Based Heart Rate Variability Measures Equivalent to Electrocardiogram? A Simulation Study.基于可穿戴光电容积脉搏波的心率变异性测量与心电图等效吗?一项模拟研究。
Sports Med. 2024 Nov;54(11):2927-2934. doi: 10.1007/s40279-024-02066-5. Epub 2024 Jun 27.
8
Towards Hardware Supported Domain Generalization in DNN-Based Edge Computing Devices for Health Monitoring.面向基于DNN的健康监测边缘计算设备中硬件支持的领域泛化
IEEE Trans Biomed Circuits Syst. 2025 Feb;19(1):5-15. doi: 10.1109/TBCAS.2024.3418085. Epub 2025 Feb 11.
9
An ECG signal processing and cardiac disease prediction approach for IoT-based health monitoring system using optimized epistemic neural network.一种基于物联网的健康监测系统的心电图信号处理及心脏病预测方法,该方法使用优化的认知神经网络。
Electromagn Biol Med. 2025 May 10:1-23. doi: 10.1080/15368378.2025.2503334.
10
Medical Data over Sound-CardiaWhisper Concept.基于心音低语概念的医学数据
Sensors (Basel). 2025 Jul 24;25(15):4573. doi: 10.3390/s25154573.