• 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

高分辨率心震图采集与分析系统。

High-Resolution Seismocardiogram Acquisition and Analysis System.

机构信息

Center of Micro Electro Mechanical Systems, University of Minho, 4800-058 Guimarães, Portugal.

International Iberian Nanotechnology Laboratory, 4800-058 Braga, Portugal.

出版信息

Sensors (Basel). 2018 Oct 13;18(10):3441. doi: 10.3390/s18103441.

DOI:10.3390/s18103441
PMID:30322147
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6211127/
Abstract

Several devices and measurement approaches have recently been developed to perform ballistocardiogram (BCG) and seismocardiogram (SCG) measurements. The development of a wireless acquisition system (hardware and software), incorporating a novel high-resolution micro-electro-mechanical system (MEMS) accelerometer for SCG and BCG signals acquisition and data treatment is presented in this paper. A small accelerometer, with a sensitivity of up to 0.164 µs/µg and a noise density below 6.5 µg/ Hz is presented and used in a wireless acquisition system for BCG and SCG measurement applications. The wireless acquisition system also incorporates electrocardiogram (ECG) signals acquisition, and the developed software enables the real-time acquisition and visualization of SCG and ECG signals (sensor positioned on chest). It then calculates metrics related to cardiac performance as well as the correlation of data from previously performed sessions with echocardiogram (ECHO) parameters. A preliminarily clinical study of over 22 subjects (including healthy subjects and cardiovascular patients) was performed to test the capability of the developed system. Data correlation between this measurement system and echocardiogram exams is also performed. The high resolution of the MEMS accelerometer used provides a better signal for SCG wave recognition, enabling a more consistent study of the diagnostic capability of this technique in clinical analysis.

摘要

最近已经开发了几种设备和测量方法来进行心冲击图(BCG)和地震心动图(SCG)测量。本文提出了一种无线采集系统(硬件和软件)的开发,该系统结合了一种新颖的高分辨率微机电系统(MEMS)加速度计,用于采集 SCG 和 BCG 信号以及数据处理。本文提出并使用了一种灵敏度高达 0.164 µs/µg 且噪声密度低于 6.5 µg/ Hz 的小型加速度计,用于 BCG 和 SCG 测量应用的无线采集系统。该无线采集系统还包括心电图(ECG)信号采集,所开发的软件可实现 SCG 和 ECG 信号的实时采集和可视化(传感器位于胸部)。然后,它计算与心脏性能相关的指标,以及与先前进行的超声心动图(ECHO)参数会话的数据相关性。对超过 22 名受试者(包括健康受试者和心血管病患者)进行了初步临床研究,以测试开发系统的能力。还对该测量系统与超声心动图检查之间的数据相关性进行了研究。所使用的 MEMS 加速度计的高分辨率为 SCG 波识别提供了更好的信号,从而可以更一致地研究该技术在临床分析中的诊断能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0e3/6211127/9de6875bca44/sensors-18-03441-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0e3/6211127/6b3b135b188b/sensors-18-03441-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0e3/6211127/1e08484abbfb/sensors-18-03441-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0e3/6211127/9de6875bca44/sensors-18-03441-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0e3/6211127/6b3b135b188b/sensors-18-03441-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0e3/6211127/1e08484abbfb/sensors-18-03441-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0e3/6211127/9de6875bca44/sensors-18-03441-g004.jpg

相似文献

1
High-Resolution Seismocardiogram Acquisition and Analysis System.高分辨率心震图采集与分析系统。
Sensors (Basel). 2018 Oct 13;18(10):3441. doi: 10.3390/s18103441.
2
Comparative analysis of seismocardiogram waves with the ultra-low frequency ballistocardiogram.心震图波形与超低频心冲击图的对比分析。
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:2851-4. doi: 10.1109/IEMBS.2009.5333649.
3
24h seismocardiogram monitoring in ambulant subjects.动态受试者的24小时心震图监测。
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:5050-3. doi: 10.1109/EMBC.2012.6347128.
4
Wearable seismocardiography: towards a beat-by-beat assessment of cardiac mechanics in ambulant subjects.可穿戴式心震图学:实现对活动主体的心动周期心脏力学的逐拍评估。
Auton Neurosci. 2013 Nov;178(1-2):50-9. doi: 10.1016/j.autneu.2013.04.005. Epub 2013 May 9.
5
A Globalized Model for Mapping Wearable Seismocardiogram Signals to Whole-Body Ballistocardiogram Signals Based on Deep Learning.基于深度学习的可穿戴心冲击图信号到全身冲击波信号的全球化映射模型。
IEEE J Biomed Health Inform. 2020 May;24(5):1296-1309. doi: 10.1109/JBHI.2019.2931872. Epub 2019 Jul 29.
6
Wearable seismocardiography.可穿戴式心震图描记法
Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:3954-7. doi: 10.1109/IEMBS.2007.4353199.
7
DR.BEAT: Rule-Based Algorithm for SCG Analysis Without ECG Reference.基于规则的无心电图参考的 SCG 分析算法。
Stud Health Technol Inform. 2024 Aug 22;316:492-496. doi: 10.3233/SHTI240456.
8
An ear-worn continuous ballistocardiogram (BCG) sensor for cardiovascular monitoring.一种用于心血管监测的耳戴式连续心冲击图(BCG)传感器。
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:5030-3. doi: 10.1109/EMBC.2012.6347123.
9
Motion noise cancellation in seismocardiogram of ambulant subjects with dual sensors.使用双传感器消除行走受试者心震图中的运动噪声
Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:5881-5884. doi: 10.1109/EMBC.2016.7592066.
10
Extracting respiratory information from seismocardiogram signals acquired on the chest using a miniature accelerometer.从胸部采集的地震心动图信号中使用微型加速度计提取呼吸信息。
Physiol Meas. 2012 Oct;33(10):1643-60. doi: 10.1088/0967-3334/33/10/1643. Epub 2012 Sep 18.

引用本文的文献

1
State of the art of mobile health technologies use in clinical arrhythmia care.移动健康技术在临床心律失常护理中的应用现状。
Commun Med (Lond). 2024 Oct 29;4(1):218. doi: 10.1038/s43856-024-00618-4.
2
Enhancing visual seismocardiography in noisy environments with adaptive bidirectional filtering for Cardiac Health Monitoring.通过自适应双向滤波在嘈杂环境中增强视觉心震图用于心脏健康监测。
BMC Med Inform Decis Mak. 2024 Oct 1;24(1):282. doi: 10.1186/s12911-024-02690-1.
3
Changes in Forcecardiography Heartbeat Morphology Induced by Cardio-Respiratory Interactions.

本文引用的文献

1
On the Design of an Efficient Cardiac Health Monitoring System Through Combined Analysis of ECG and SCG Signals.基于 ECG 和 SCG 信号联合分析的高效心脏健康监测系统设计。
Sensors (Basel). 2018 Jan 28;18(2):379. doi: 10.3390/s18020379.
2
Identification of Location Specific Feature Points in a Cardiac Cycle Using a Novel Seismocardiogram Spectrum System.使用新型心震图频谱系统识别心脏周期中的位置特异性特征点。
IEEE J Biomed Health Inform. 2018 Mar;22(2):442-449. doi: 10.1109/JBHI.2016.2620496. Epub 2016 Oct 25.
3
Automatic and Robust Delineation of the Fiducial Points of the Seismocardiogram Signal for Non-invasive Estimation of Cardiac Time Intervals.
心冲击图心动形态变化与心肺相互作用的关系。
Sensors (Basel). 2022 Nov 30;22(23):9339. doi: 10.3390/s22239339.
4
Identification of Characteristic Points in Multivariate Physiological Signals by Sensor Fusion and Multi-Task Deep Networks.多元生理信号特征点的传感器融合与多任务深度网络识别。
Sensors (Basel). 2022 Mar 31;22(7):2684. doi: 10.3390/s22072684.
5
A Novel Broadband Forcecardiography Sensor for Simultaneous Monitoring of Respiration, Infrasonic Cardiac Vibrations and Heart Sounds.一种用于同时监测呼吸、次声心脏振动和心音的新型宽带心力图传感器。
Front Physiol. 2021 Nov 18;12:725716. doi: 10.3389/fphys.2021.725716. eCollection 2021.
6
Differential cardiopulmonary monitoring system for artifact-canceled physiological tracking of athletes, workers, and COVID-19 patients.用于对运动员、工人和新冠肺炎患者进行无伪迹生理跟踪的差分心肺监测系统。
Sci Adv. 2021 May 12;7(20). doi: 10.1126/sciadv.abg3092. Print 2021 May.
用于无创估计心脏时间间隔的地震心图信号基准点的自动稳健描绘
IEEE Trans Biomed Eng. 2017 Aug;64(8):1701-1710. doi: 10.1109/TBME.2016.2616382. Epub 2016 Oct 12.
4
Weighing Scale-Based Pulse Transit Time is a Superior Marker of Blood Pressure than Conventional Pulse Arrival Time.基于体重秤的脉搏传输时间比传统的脉搏到达时间更能准确反映血压状况。
Sci Rep. 2016 Dec 15;6:39273. doi: 10.1038/srep39273.
5
Automatic Identification of Systolic Time Intervals in Seismocardiogram.心冲击图中收缩时间间隔的自动识别。
Sci Rep. 2016 Nov 22;6:37524. doi: 10.1038/srep37524.
6
A real-time approach for heart rate monitoring using a Hilbert transform in seismocardiograms.一种在地震心音图中使用希尔伯特变换进行心率监测的实时方法。
Physiol Meas. 2016 Nov;37(11):1885-1909. doi: 10.1088/0967-3334/37/11/1885. Epub 2016 Sep 28.
7
Systolic Time Intervals and New Measurement Methods.收缩期时间间期与新的测量方法。
Cardiovasc Eng Technol. 2016 Jun;7(2):118-25. doi: 10.1007/s13239-016-0262-1. Epub 2016 Apr 5.
8
Ballistocardiography and seismocardiography: a review of recent advances.心冲击图和地震心动描记术:最新进展综述。
IEEE J Biomed Health Inform. 2015 Jul;19(4):1414-27. doi: 10.1109/JBHI.2014.2361732. Epub 2014 Oct 7.
9
Nocturnal awakening and sleep efficiency estimation using unobtrusively measured ballistocardiogram.使用非侵入性测量的心冲击图估计夜间觉醒和睡眠效率。
IEEE Trans Biomed Eng. 2014 Jan;61(1):131-8. doi: 10.1109/TBME.2013.2278020. Epub 2013 Aug 15.
10
An ear-worn continuous ballistocardiogram (BCG) sensor for cardiovascular monitoring.一种用于心血管监测的耳戴式连续心冲击图(BCG)传感器。
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:5030-3. doi: 10.1109/EMBC.2012.6347123.