Suppr超能文献

使用线性相位滤波器减少心电图基线漂移

ECG baseline wander reduction using linear phase filters.

作者信息

van Alsté J A, van Eck W, Herrmann O E

出版信息

Comput Biomed Res. 1986 Oct;19(5):417-27. doi: 10.1016/0010-4809(86)90037-6.

Abstract

The continuous real time reduction of baseline wander is a considerable problem in electrocardiography during exercises. Our solution consists of spectral filtering. The legitimacy of high-pass filtering of the ECG by means of digital linear phase filters with a low cut-off frequency as high as the heart rate is shown. The specifications of these filters are derived from experimental results. Special hardware is presented that simultaneously performs the desired real-time filter operation in four ECG leads.

摘要

在运动心电图检查中,持续实时减少基线漂移是一个相当大的问题。我们的解决方案包括频谱滤波。结果表明,使用截止频率高达心率的数字线性相位滤波器对心电图进行高通滤波是合理的。这些滤波器的规格是根据实验结果得出的。本文介绍了一种特殊硬件,它能同时对四条心电图导联进行所需的实时滤波操作。

相似文献

1
ECG baseline wander reduction using linear phase filters.
Comput Biomed Res. 1986 Oct;19(5):417-27. doi: 10.1016/0010-4809(86)90037-6.
2
Time-varying digital filtering of ECG baseline wander.
Med Biol Eng Comput. 1993 Sep;31(5):503-8. doi: 10.1007/BF02441986.
3
Filters for the reduction of baseline wander and muscle artifact in the ECG.
J Electrocardiol. 1992;25 Suppl:40-8. doi: 10.1016/0022-0736(92)90060-d.
4
Fast time-varying linear filters for suppression of baseline drift in electrocardiographic signals.
Biomed Eng Online. 2017 Feb 7;16(1):24. doi: 10.1186/s12938-017-0316-0.
5
Graphics-processor-unit-based parallelization of optimized baseline wander filtering algorithms for long-term electrocardiography.
IEEE Trans Biomed Eng. 2015 Jun;62(6):1576-84. doi: 10.1109/TBME.2015.2395456. Epub 2015 Feb 6.
6
A filter to suppress ECG baseline wander and preserve ST-segment accuracy in a real-time environment.
J Electrocardiol. 1991 Oct;24(4):315-23. doi: 10.1016/0022-0736(91)90014-d.
7
Effect of high-pass filtering on ECG signal on the analysis of patients prone to atrial fibrillation.
Ann Ist Super Sanita. 2009;45(4):427-31. doi: 10.1590/s0021-25712009000400012.
8
Meet the challenge of high-pass filter and ST-segment requirements with a DC-coupled digital electrocardiogram amplifier.
J Electrocardiol. 2009 Nov-Dec;42(6):574-9. doi: 10.1016/j.jelectrocard.2009.07.012. Epub 2009 Aug 22.
9
Artifact processing during exercise testing.
J Electrocardiol. 1999;32 Suppl:212-9. doi: 10.1016/s0022-0736(99)90083-3.

引用本文的文献

1
An efficient ECG signals denoising technique based on the combination of particle swarm optimisation and wavelet transform.
Heliyon. 2024 Feb 14;10(5):e26171. doi: 10.1016/j.heliyon.2024.e26171. eCollection 2024 Mar 15.
2
Representative QRS loop of the VCG record evaluation.
Front Physiol. 2024 Jan 4;14:1260074. doi: 10.3389/fphys.2023.1260074. eCollection 2023.
3
Contactless Camera-Based Sleep Staging: The HealthBed Study.
Bioengineering (Basel). 2023 Jan 12;10(1):109. doi: 10.3390/bioengineering10010109.
4
Comparing different wavelet transforms on removing electrocardiogram baseline wanders and special trends.
BMC Med Inform Decis Mak. 2020 Dec 30;20(Suppl 11):343. doi: 10.1186/s12911-020-01349-x.
5
Baseline wander and power-line interference elimination of ECG signals using efficient signal-piloted filtering.
Healthc Technol Lett. 2020 Sep 3;7(4):114-118. doi: 10.1049/htl.2019.0116. eCollection 2020 Aug.
7
8
A novel low-complexity post-processing algorithm for precise QRS localization.
Springerplus. 2014 Jul 25;3:376. doi: 10.1186/2193-1801-3-376. eCollection 2014.
9
A hierarchical method for removal of baseline drift from biomedical signals: application in ECG analysis.
ScientificWorldJournal. 2013 May 20;2013:896056. doi: 10.1155/2013/896056. Print 2013.
10
Tissue artifact removal from respiratory signals based on empirical mode decomposition.
Ann Biomed Eng. 2013 May;41(5):1003-15. doi: 10.1007/s10439-013-0742-5. Epub 2013 Jan 17.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验