• 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

心房颤动期间单导联心电图QRST消除技术基于时间和频率的独立评估

TIME- AND FREQUENCY-BASED INDEPENDENT EVALUATION OF QRST CANCELLATION TECHNIQUES FOR SINGLE-LEAD ELECTROCARDIOGRAMS DURING ATRIAL FIBRILLATION.

作者信息

Price Nicholas F, Berenfeld Omer, Devabhaktuni Vijay, Deo Makarand

机构信息

Department of Electrical and Computer Engineering, University of Toledo, Toledo, OH 43607 USA.

Center for Arrhythmia Research, University of Michigan, Ann Arbor, MI 48107 USA.

出版信息

Annu Model Simul Conf ANNSIM. 2022 Jul;2022:294-304. doi: 10.23919/annsim55834.2022.9859334. Epub 2022 Aug 23.

DOI:10.23919/annsim55834.2022.9859334
PMID:36745140
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9893034/
Abstract

With the increased prevalence of atrial fibrillation (AF) - a rhythm disturbance in heart's top chambers - there is growing interest in accurate non-invasive diagnosis of atrial activity to improve its therapy. A key component in non-invasive analysis of atrial activity is a successful removal of the ventricular QRST complexes from electrocardiograms (ECGs). In this study, we have developed a new approach for an objective and physiologically-based evaluation of QRST cancellation methods based on comparisons with the power spectra of the AF. Three commonly used QRST cancellation methods were evaluated; namely, average beat subtraction, singular value cancellation, and principal component analysis. These methods were evaluated in time and frequency domains using a set of synthesized ECGs preserving the atrial-specific temporal and spectral properties. It was observed that the ABS method provided the best estimation when QRST morphological variability is low, while PCA produces an overall best estimate when a large QRST morphological variability is present.

摘要

随着心房颤动(AF)——心脏上部腔室的一种节律紊乱——患病率的增加,人们对准确无创诊断心房活动以改善其治疗的兴趣日益浓厚。心房活动无创分析的一个关键组成部分是成功地从心电图(ECG)中去除心室QRST复合波。在本研究中,我们基于与房颤功率谱的比较,开发了一种新的方法,用于对QRST消除方法进行客观且基于生理学的评估。评估了三种常用的QRST消除方法;即平均搏动减法、奇异值消除和主成分分析。使用一组保留心房特定时间和频谱特性的合成心电图,在时域和频域对这些方法进行了评估。观察到,当QRST形态变异性较低时,ABS方法提供了最佳估计,而当存在较大的QRST形态变异性时,PCA总体上产生了最佳估计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb2/9893034/341fedf1955d/nihms-1866166-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb2/9893034/3e3c4bd5be49/nihms-1866166-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb2/9893034/e974f1a3f091/nihms-1866166-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb2/9893034/59108715538d/nihms-1866166-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb2/9893034/b45703088326/nihms-1866166-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb2/9893034/d8ebebc5a283/nihms-1866166-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb2/9893034/167a28de623f/nihms-1866166-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb2/9893034/310c688ae0f5/nihms-1866166-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb2/9893034/341fedf1955d/nihms-1866166-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb2/9893034/3e3c4bd5be49/nihms-1866166-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb2/9893034/e974f1a3f091/nihms-1866166-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb2/9893034/59108715538d/nihms-1866166-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb2/9893034/b45703088326/nihms-1866166-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb2/9893034/d8ebebc5a283/nihms-1866166-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb2/9893034/167a28de623f/nihms-1866166-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb2/9893034/310c688ae0f5/nihms-1866166-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb2/9893034/341fedf1955d/nihms-1866166-f0008.jpg

相似文献

1
TIME- AND FREQUENCY-BASED INDEPENDENT EVALUATION OF QRST CANCELLATION TECHNIQUES FOR SINGLE-LEAD ELECTROCARDIOGRAMS DURING ATRIAL FIBRILLATION.心房颤动期间单导联心电图QRST消除技术基于时间和频率的独立评估
Annu Model Simul Conf ANNSIM. 2022 Jul;2022:294-304. doi: 10.23919/annsim55834.2022.9859334. Epub 2022 Aug 23.
2
Adaptive singular value cancelation of ventricular activity in single-lead atrial fibrillation electrocardiograms.单导联心房颤动心电图中室性活动的自适应奇异值消除
Physiol Meas. 2008 Dec;29(12):1351-69. doi: 10.1088/0967-3334/29/12/001. Epub 2008 Oct 22.
3
Detection and removal of ventricular ectopic beats in atrial fibrillation recordings via principal component analysis.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:4693-6. doi: 10.1109/IEMBS.2011.6091162.
4
Spatiotemporal QRST cancellation techniques for analysis of atrial fibrillation.用于心房颤动分析的时空QRST消除技术
IEEE Trans Biomed Eng. 2001 Jan;48(1):105-11. doi: 10.1109/10.900266.
5
Radial basis function neural networks applied to efficient QRST cancellation in atrial fibrillation.径向基函数神经网络在心房颤动中高效 QRST 消除的应用。
Comput Biol Med. 2013 Feb;43(2):154-63. doi: 10.1016/j.compbiomed.2012.11.007. Epub 2012 Dec 8.
6
An echo state neural network for QRST cancellation during atrial fibrillation.用于心房颤动时 QRST 消除的回声状态神经网络。
IEEE Trans Biomed Eng. 2012 Oct;59(10):2950-7. doi: 10.1109/TBME.2012.2212895. Epub 2012 Aug 23.
7
Comparison of atrial signal extraction algorithms in 12-lead ECGs with atrial fibrillation.12导联心电图中房颤心房信号提取算法的比较
IEEE Trans Biomed Eng. 2006 Feb;53(2):343-6. doi: 10.1109/TBME.2005.862567.
8
A ventricular activity cancellation algorithm based on event synchronous adaptive filter for single-lead electrocardiograms.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:5226-9. doi: 10.1109/EMBC.2012.6347172.
9
Estimation of atrial fibrillatory wave from single-lead atrial fibrillation electrocardiograms using principal component analysis concepts.利用主成分分析概念从单导联心房颤动心电图估计心房颤动波。
Med Biol Eng Comput. 2005 Sep;43(5):557-60. doi: 10.1007/BF02351028.
10
QRST cancellation using bayesian estimation for the auricular fibrillation analysis.
Conf Proc IEEE Eng Med Biol Soc. 2005;2005:7083-6. doi: 10.1109/IEMBS.2005.1616138.

本文引用的文献

1
Body surface localization of left and right atrial high-frequency rotors in atrial fibrillation patients: a clinical-computational study.心房颤动患者左、右心房高频转子的体表定位:一项临床计算研究。
Heart Rhythm. 2014 Sep;11(9):1584-91. doi: 10.1016/j.hrthm.2014.05.013. Epub 2014 May 17.
2
Noninvasive localization of maximal frequency sites of atrial fibrillation by body surface potential mapping.通过体表电位标测定位心房颤动的最大频率部位。
Circ Arrhythm Electrophysiol. 2013 Apr;6(2):294-301. doi: 10.1161/CIRCEP.112.000167. Epub 2013 Feb 26.
3
Heart disease and stroke statistics--2013 update: a report from the American Heart Association.《2013年心脏病和中风统计数据更新:美国心脏协会报告》
Circulation. 2013 Jan 1;127(1):e6-e245. doi: 10.1161/CIR.0b013e31828124ad. Epub 2012 Dec 12.
4
Long-term frequency gradients during persistent atrial fibrillation in sheep are associated with stable sources in the left atrium.在绵羊持续性心房颤动期间,长期的频率梯度与左心房内的稳定源有关。
Circ Arrhythm Electrophysiol. 2012 Dec;5(6):1160-7. doi: 10.1161/CIRCEP.111.969519. Epub 2012 Oct 10.
5
An echo state neural network for QRST cancellation during atrial fibrillation.用于心房颤动时 QRST 消除的回声状态神经网络。
IEEE Trans Biomed Eng. 2012 Oct;59(10):2950-7. doi: 10.1109/TBME.2012.2212895. Epub 2012 Aug 23.
6
Event synchronous adaptive filter based atrial activity estimation in single-lead atrial fibrillation electrocardiograms.基于事件同步自适应滤波器的心电信号中房颤活动的估计。
Med Biol Eng Comput. 2012 Aug;50(8):801-11. doi: 10.1007/s11517-012-0931-7. Epub 2012 Jun 21.
7
Time- and frequency-domain analyses of atrial fibrillation activation rate: the optical mapping reference.心房颤动激活率的时频域分析:光学标测参考。
Heart Rhythm. 2011 Nov;8(11):1758-65. doi: 10.1016/j.hrthm.2011.05.007. Epub 2011 May 14.
8
A fixed point algorithm for extracting the atrial activity in the frequency domain.一种用于从频域提取心房活动的定点算法。
Comput Biol Med. 2010 Nov-Dec;40(11-12):943-9. doi: 10.1016/j.compbiomed.2010.10.006. Epub 2010 Nov 4.
9
Increasing prevalence of atrial fibrillation and flutter in the United States.美国心房颤动和房扑的患病率不断增加。
Am J Cardiol. 2009 Dec 1;104(11):1534-9. doi: 10.1016/j.amjcard.2009.07.022.
10
Real-time dominant frequency mapping and ablation of dominant frequency sites in atrial fibrillation with left-to-right frequency gradients predicts long-term maintenance of sinus rhythm.实时主导频率映射及对存在从左到右频率梯度的心房颤动中主导频率部位进行消融可预测窦性心律的长期维持。
Heart Rhythm. 2009 Jan;6(1):33-40. doi: 10.1016/j.hrthm.2008.10.024. Epub 2008 Oct 22.