Literature DB >> 24369740

Effect of ECG filter settings on J-waves.

Mikiko Nakagawa1, Chie Tsunemitsu2, Sayo Katoh2, Yukari Kamiyama2, Nario Sano2, Kaori Ezaki3, Hiroko Miyazaki3, Yasushi Teshima3, Kunio Yufu3, Naohiko Takahashi3, Tetsunori Saikawa3.   

Abstract

BACKGROUND: While J-waves were observed in healthy populations, variations in their reported incidence may be partly explicable by the ECG filter setting.
METHODS: We obtained resting 12-lead ECG recordings in 665 consecutive patients and enrolled 112 (56 men, 56 women, mean age 59.3±16.1years) who manifested J-waves on ECGs acquired with a 150-Hz low-pass filter. We then studied the J-waves on individual ECGs to look for morphological changes when 25-, 35-, 75-, 100-, and 150Hz filters were used.
RESULTS: The notching observed with the 150-Hz filter changed to slurring (42%) or was eliminated (28%) with the 25-Hz filter. Similarly, the slurring seen with the 150-Hz filter was eliminated on 71% of ECGs recorded with the 25-Hz filter. The amplitude of J-waves was significantly lower with 25- and 35-Hz than 75-, 100-, and 150-Hz filters (p<0.0001).
CONCLUSIONS: The ECG filter setting significantly affects the J-wave morphology.
© 2013.

Entities:  

Keywords:  ECG filter; Electrocardiogram; J-waves

Mesh:

Year:  2013        PMID: 24369740     DOI: 10.1016/j.jelectrocard.2013.10.001

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  4 in total

1.  Early repolarization and echocardiography: Some aspects to consider.

Authors:  Juan Lacalzada-Almeida; Javier García-Niebla
Journal:  Ann Noninvasive Electrocardiol       Date:  2019-07-25       Impact factor: 1.468

2.  Pseudo-real-time low-pass filter in ECG, self-adjustable to the frequency spectra of the waves.

Authors:  Ivaylo Christov; Tatyana Neycheva; Ramun Schmid; Todor Stoyanov; Roger Abächerli
Journal:  Med Biol Eng Comput       Date:  2017-02-04       Impact factor: 2.602

3.  Reliable Detection of Myocardial Ischemia Using Machine Learning Based on Temporal-Spatial Characteristics of Electrocardiogram and Vectorcardiogram.

Authors:  Xiaoye Zhao; Jucheng Zhang; Yinglan Gong; Lihua Xu; Haipeng Liu; Shujun Wei; Yuan Wu; Ganhua Cha; Haicheng Wei; Jiandong Mao; Ling Xia
Journal:  Front Physiol       Date:  2022-05-30       Impact factor: 4.755

4.  ANMCO/AIIC/SIT Consensus Information Document: definition, precision, and suitability of electrocardiographic signals of electrocardiographs, ergometry, Holter electrocardiogram, telemetry, and bedside monitoring systems.

Authors:  Michele Massimo Gulizia; Giancarlo Casolo; Guerrino Zuin; Loredana Morichelli; Giovanni Calcagnini; Vincenzo Ventimiglia; Federica Censi; Pasquale Caldarola; Giancarmine Russo; Lorenzo Leogrande; Gian Franco Gensini
Journal:  Eur Heart J Suppl       Date:  2017-05-02       Impact factor: 1.803

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.