January 1, 2000IEEE Transactions on Biomedical Engineering

CPR artifact removal from human ECG using optimal multichannel filtering

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Why the study?

Does an adaptive multichannel Wiener filter improve signal-to-noise ratio and rhythm classification in human ECGs with simulated CPR artifacts?

Population

Noise-free human ECGs with ventricular fibrillation and ventricular tachycardia records, combined with…

Design

Preclinical

Authors

SAS.O. AaseGeneral Electric (Norway)TETrygve EftestølUniversity of Stavanger JHJ.H. HusøyUniversity of Stavanger

Discussion

Member takes

Implication

May support CPR artifact removal during resuscitation in animals; leaves open validation in human ECGs.

Structured PICO

Does an adaptive multichannel Wiener filter improve signal-to-noise ratio and rhythm classification in human ECGs with simulated CPR artifacts?

Population

Noise-free human ECGs with ventricular fibrillation (VF) and ventricular tachycardia (VT) records, combined with artifact signals from animal ECGs recorded in asystole during precordial compressions at rates 60, 90, and 120 compressions/min.

Intervention

Adaptive multichannel Wiener filter using reference signals (compression depth and thorax impedance) to estimate and subtract artifact signals.

Outcome

Signal-to-noise ratio (SNR) and rhythm classification evaluations.surrogate

An adaptive multichannel Wiener filter can successfully remove CPR artifacts from ECGs, potentially allowing for rhythm analysis and defibrillator charging during ongoing precordial compressions.

Cite This Study

Aase et al. (2000) studied this question.

synapsesocial.com/papers/6a7064bfe5469ee92be12234 https://doi.org/10.1109/10.880095

Topics

Ventricular arrhythmias

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CPR artifact removal from human ECG using optimal multichannel filtering

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Topics

CPR artifact removal from human ECG using optimal multichannel filtering

Discussion

Member takes

Implication

Structured PICO

Cite This Study

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Topics

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