Common electrocardiographic artifacts mimicking arrhythmias in ambulatory monitoring

Márquez, Manuel Portillo

doi:10.1016/s0002-8703(02)00065-0

Cited by 29 publications

(7 citation statements)

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“…These are nonpolarizable electrode types, with a silver-silver chloride (AgCl) element coated with an ionically active gel. Polarizable silver textrodes (textile electrodes) embedded in the shirt/vest carrier are also now available (Lobodzinski & Laks, 2008;Perez de Isla et al, 2011 (Keller & Lemberg, 2007;Knight et al, 1999Knight et al, , 2001Krasnow & Bloomfield, 1976;Márquez, Colín, Guevara, Iturralde, & Hermosillo, 2002).…”

Section: Electrodes For Aecg Applicationsmentioning

confidence: 99%

“…A second group of artifacts is probably related to intermittent impairment of electrode contact or recorder problems in older recording systems that can result in tape slowing or intermittent stoppage (Krasnow & Bloomfield, 1976;Márquez et al, 2002). These artifacts result in pseudo-pauses that can simulate sinus arrest, pacemaker malfunction, or high-degree atrioventricular conduction block.…”

Section: Aecg Analysis and Interpretationmentioning

confidence: 99%

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2017 ISHNE-HRS expert consensus statement on ambulatory ECG and external cardiac monitoring/telemetry

Steinberg

Varma

Cygankiewicz

et al. 2017

Ann Noninvasive Electrocardiol

104

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Section: Electrodes For Aecg Applicationsmentioning

confidence: 99%

Section: Aecg Analysis and Interpretationmentioning

confidence: 99%

2017 ISHNE-HRS expert consensus statement on ambulatory ECG and external cardiac monitoring/telemetry

Steinberg

Varma

Cygankiewicz

et al. 2017

Ann Noninvasive Electrocardiol

104

View full text Add to dashboard Cite

“…Also the patient confi rmed that he had been working in the base station during abnormal records. The most likely cause of the ECG artifact was the infl uence of electromagnetic interference on holter monitoring in the base station [1] . An ECG artifact can closely simulate VT, and physicians should include it in their differential diagnosis of wide complex tachycardias to minimize unneeded procedures [2] .…”

Section: Correspondencementioning

confidence: 99%

“…Koşuyolu Heart Journal 2016;19 (1) Figure 1). Therefore, the patient was referred to our hospital for an electrophysiological study.…”

mentioning

confidence: 99%

Pseudo-Ventricular Tachycardia Pattern due to Electromagnetic Interference

Turak¹,

Canpolat²,

Topaloğlu³

2016

Kosuyolu Heart Journal

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CorrespondenceA 26-year-old male presented with palpitation. Electrocardiogram (ECG) revealed normal sinus rhythm. Echocardiography results were normal. Holter monitoring revealed wide QRS complex tachycardia, likely VT (Figure 1). Therefore, the patient was referred to our hospital for an electrophysiological study. However, a closer observation of the tracings revealed the continued presence of normal QRS complexes in the baseline rhythm cycle length within the apparent wide complexes and an unstable baseline on the ECG before the tachycardia events. This resulted in the recognition that the wide complexes were ECG artifacts. Also the patient confi rmed that he had been working in the base station during abnormal records. The most likely cause of the ECG artifact was the infl uence of electromagnetic interference on holter monitoring in the base station [1] . An ECG artifact can closely simulate VT, and physicians should include it in their differential diagnosis of wide complex tachycardias to minimize unneeded procedures [2] . REFERENCES1. Marquez F, Colin L, Guevara M, Iturralde P, Hermesillo AG. Common electrocardiographic artifacts mimicking arrhythmias in ambulatory monitoring.

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“…Current ECG-monitoring systems are vulnerable to misinterpretation of pseudoarrhythmias, movement and nursing-manipulation artifacts or even hiccups. 9 We evaluated validity of standard automated arrhythmia detection in patients with stroke during Stroke Unit ECG monitoring.…”

mentioning

confidence: 99%

Reliability and Limitations of Automated Arrhythmia Detection in Telemetric Monitoring After Stroke

Kurka

Bobinger

Kallmünzer

et al. 2015

Stroke

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Background and Purpose-Guidelines recommend continuous ECG monitoring in patients with cerebrovascular events.Studies on intensive care units (ICU) demonstrated high sensitivity but high rates of false alarms of monitoring systems resulting in desensitization of medical personnel potentially endangering patient safety. Data on patients with acute stroke are lacking. Methods-One-hundred fifty-one consecutive patients with acute cerebrovascular events were prospectively included.Automatically identified arrhythmia events were analyzed by manual ECG analysis. Muting of alarms was registered. Sensitivity was evaluated by beat-to-beat analysis of the entire recorded ECG data in a subset of patients. Ethics approval was obtained by University of Erlangen-Nuremberg. Results-A total of 4809.5 hours of ECG registration and 22 509 alarms were analyzed. The automated detection algorithm missed no events but the overall rate of false alarms was 27.4%. Only 0.6% of all alarms indicated acute life-threatening events and 91.4% of these alarms were incorrect. Transient muting of acoustic alarms was observed in 20.5% patients. Conclusions-Continuous ECG monitoring using automated arrhythmia detection is highly sensitive in acute stroke.However, high rates of false alarms and alarms without direct therapeutic consequence cause desensitization of personnel. Therefore, acoustic alarms may be limited to life-threatening events but standardized manual evaluation of all alarms should complement automated systems to identify clinically relevant arrhythmias. (Stroke. 2015;46:560-563.

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Common electrocardiographic artifacts mimicking arrhythmias in ambulatory monitoring

Cited by 29 publications

References 0 publications

2017 ISHNE-HRS expert consensus statement on ambulatory ECG and external cardiac monitoring/telemetry

2017 ISHNE-HRS expert consensus statement on ambulatory ECG and external cardiac monitoring/telemetry

Pseudo-Ventricular Tachycardia Pattern due to Electromagnetic Interference

Reliability and Limitations of Automated Arrhythmia Detection in Telemetric Monitoring After Stroke

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