Literature DB >> 17317378

Prevalence and clinical implications of improper filter settings in routine electrocardiography.

Paul Kligfield1, Peter M Okin.   

Abstract

High- and low-filter bandwidth governs the fidelity of electrocardiographic waveforms, including the durations used in established criteria for infarction, the amplitudes used for the diagnosis of ventricular hypertrophy, and the accuracy of the magnitudes of ST-segment elevation and depression. Electrocardiographs allow users to reset high- and low-filter settings for special electrocardiographic applications, but these may be used inappropriately. To examine the prevalence of standard and nonstandard electrocardiographic filtering at 1 general medical community, 256 consecutive outpatient electrocardiograms (ECGs) submitted in advance of ambulatory or same-day admission surgery during a 3-week period were examined. ECGs were considered to meet standards for low-frequency cutoff when equal to 0.05 Hz and to meet standards for high-frequency cutoff when equal to 100 Hz, according to American Heart Association recommendations established in 1975. Only 25% of ECGs (65 of 256) conformed to recommended standards; 75% of ECGs (191 of 254) did not. The most prevalent deviation from standard was reduced high-frequency cutoff, which was present in 96% of tracings with nonstandard bandwidth (most commonly 40 Hz). Increased low-frequency cutoff was present in 62% of ECGs in which it was documented. In conclusion, improper electrocardiographic filtering, with potentially adverse clinical consequences, is highly prevalent at 1 large general medical community and is likely a generalized problem. This problem should be resolvable by targeted educational efforts to reinforce technical standards in electrocardiography.

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Year:  2007        PMID: 17317378     DOI: 10.1016/j.amjcard.2006.09.123

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  6 in total

Review 1.  Technical mistakes during the acquisition of the electrocardiogram.

Authors:  Javier García-Niebla; Pablo Llontop-García; Juan Ignacio Valle-Racero; Guillem Serra-Autonell; Velislav N Batchvarov; Antonio Bayés de Luna
Journal:  Ann Noninvasive Electrocardiol       Date:  2009-10       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.  High-Bandpass Filters in Electrocardiography: Source of Error in the Interpretation of the ST Segment.

Authors:  F Buendía-Fuentes; M A Arnau-Vives; A Arnau-Vives; Y Jiménez-Jiménez; J Rueda-Soriano; E Zorio-Grima; A Osa-Sáez; L V Martínez-Dolz; L Almenar-Bonet; M A Palencia-Pérez
Journal:  ISRN Cardiol       Date:  2012-06-21

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

5.  The Diurnal Profile of Human Basal Pain Sensitivity and Skin Sympathetic Nerve Activity: A Healthy Volunteer Study.

Authors:  Ying Zhu; Ai Yan; Bin Shu; Xuehan Chen; Yupei Chen; Guangyou Duan; He Huang
Journal:  Front Neurosci       Date:  2022-03-16       Impact factor: 4.677

6.  ECG Restitution Analysis and Machine Learning to Detect Paroxysmal Atrial Fibrillation: Insight from the Equine Athlete as a Model for Human Athletes.

Authors:  Ying H Huang; Vadim Alexeenko; Gary Tse; Christopher L-H Huang; Celia M Marr; Kamalan Jeevaratnam
Journal:  Function (Oxf)       Date:  2020-11-18
  6 in total

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