• 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

使用期望最大化算法和支持向量机进行胎儿运动检测的向量心电图环对齐

Vectorcardiographic loop alignment for fetal movement detection using the expectation-maximization algorithm and support vector machines.

作者信息

Vullings R, Mischi M

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:2915-8. doi: 10.1109/EMBC.2013.6610150.

DOI:10.1109/EMBC.2013.6610150
PMID:24110337
Abstract

Reduced fetal movement is an important parameter to assess fetal distress. Currently, no suitable methods are available that can objectively assess fetal movement during pregnancy. Fetal vectorcardiographic (VCG) loop alignment could be such a method. In general, the goal of VCG loop alignment is to correct for motion-induced changes in the VCGs of (multiple) consecutive heartbeats. However, the parameters used for loop alignment also provide information to assess fetal movement. Unfortunately, current methods for VCG loop alignment are not robust against low-quality VCG signals. In this paper, a more robust method for VCG loop alignment is developed that includes a priori information on the loop alignment, yielding a maximum a posteriori loop alignment. Classification, based on movement parameters extracted from the alignment, is subsequently performed using support vector machines, resulting in correct classification of (absence of) fetal movement in about 75% of cases. After additional validation and optimization, this method can possibly be employed for continuous fetal movement monitoring.

摘要

胎动减少是评估胎儿窘迫的一个重要参数。目前,尚无合适的方法可用于客观评估孕期的胎动情况。胎儿向量心电图(VCG)环对齐可能是这样一种方法。一般来说,VCG环对齐的目的是校正(多个)连续心跳的VCG中由运动引起的变化。然而,用于环对齐的参数也提供了评估胎儿运动的信息。不幸的是,当前的VCG环对齐方法对低质量的VCG信号不够稳健。在本文中,开发了一种更稳健的VCG环对齐方法,该方法包括关于环对齐的先验信息,从而产生最大后验环对齐。随后,使用支持向量机基于从对齐中提取的运动参数进行分类,在约75%的病例中能够正确分类(有无)胎儿运动。经过进一步验证和优化后,该方法可能可用于连续的胎儿运动监测。

相似文献

1
Vectorcardiographic loop alignment for fetal movement detection using the expectation-maximization algorithm and support vector machines.使用期望最大化算法和支持向量机进行胎儿运动检测的向量心电图环对齐
Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:2915-8. doi: 10.1109/EMBC.2013.6610150.
2
Novel Bayesian vectorcardiographic loop alignment for improved monitoring of ECG and fetal movement.新型贝叶斯向量心电图环校正,提高心电图和胎儿运动监测效果。
IEEE Trans Biomed Eng. 2013 Jun;60(6):1580-8. doi: 10.1109/TBME.2013.2238938. Epub 2013 Jan 10.
3
Fetal movement quantification by fetal vectorcardiography: a preliminary study.通过胎儿心电向量图进行胎动定量分析:一项初步研究。
Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:1056-9. doi: 10.1109/IEMBS.2008.4649341.
4
Unsupervised denoising of the non-invasive fetal electrocardiogram with sparse domain Kalman filtering and vectorcardiographic loop alignment.无监督的稀疏域卡尔曼滤波和心向量环对准去噪非侵入性胎儿心电图。
Physiol Meas. 2024 Jul 17;45(7). doi: 10.1088/1361-6579/ad605c.
5
Bayesian approach to patient-tailored vectorcardiography.贝叶斯方法在患者个体化向量心电图学中的应用。
IEEE Trans Biomed Eng. 2010 Mar;57(3):586-95. doi: 10.1109/TBME.2009.2033664. Epub 2009 Oct 20.
6
Multidimensional Ultrasound Doppler Signal Analysis for Fetal Activity Monitoring.用于胎儿活动监测的多维超声多普勒信号分析
Ultrasound Med Biol. 2015 Dec;41(12):3172-81. doi: 10.1016/j.ultrasmedbio.2015.07.026. Epub 2015 Sep 11.
7
Feasibility Study of a New Method for Low-Complexity Fetal Movement Detection From Abdominal ECG Recordings.一种从腹部心电图记录中检测低复杂度胎儿运动新方法的可行性研究。
IEEE J Biomed Health Inform. 2016 Sep;20(5):1361-8. doi: 10.1109/JBHI.2015.2452266. Epub 2015 Jul 2.
8
Accelerometer-based fetal movement detection.基于加速度计的胎动检测。
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:7877-80. doi: 10.1109/IEMBS.2011.6091942.
9
The Actifetus system: a multidoppler sensor system for monitoring fetal movements.Actifetus系统:一种用于监测胎儿活动的多多普勒传感器系统。
Ultrasound Med Biol. 2007 Mar;33(3):430-8. doi: 10.1016/j.ultrasmedbio.2006.09.014.
10
Estimation of the respiratory frequency using spatial information in the VCG.利用心向量图中的空间信息估计呼吸频率。
Med Eng Phys. 2003 Jul;25(6):501-7. doi: 10.1016/s1350-4533(03)00017-1.

引用本文的文献

1
Fetal electrocardiography and artificial intelligence for prenatal detection of congenital heart disease.胎儿心电图与人工智能在先天性心脏病产前检测中的应用。
Acta Obstet Gynecol Scand. 2023 Nov;102(11):1511-1520. doi: 10.1111/aogs.14623. Epub 2023 Aug 10.
2
Passive Fetal Movement Signal Detection System Based on Intelligent Sensing Technology.基于智能传感技术的被动胎儿运动信号检测系统。
J Healthc Eng. 2021 Aug 25;2021:1745292. doi: 10.1155/2021/1745292. eCollection 2021.