A Review of the Performance of Artifact Filtering Algorithms for Cardiopulmonary Resuscitation

Gong, Yushun; Chen, Bihua; Li, Yongqin

doi:https://doi.org/10.1260/2040-2295.4.2.185

Journal of Healthcare Engineering

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Research Article | Open Access

Volume 4 | Article ID 807467 | https://doi.org/10.1260/2040-2295.4.2.185

A Review of the Performance of Artifact Filtering Algorithms for Cardiopulmonary Resuscitation

Yushun Gong,¹Bihua Chen,¹and Yongqin Li¹

Received01 Oct 2012

Accepted01 Mar 2013

Abstract

Various filtering strategies have been adopted and investigated to suppress the cardiopulmonary resuscitation (CPR) artifact. In this article, two types of artifact removal methods are reviewed: one is the method that removes CPR artifact using only ECG signals, and the other is the method with additional reference signals, such as acceleration, compression depth and transthoracic impedance. After filtering, the signal-to-noise ratio is improved from 0 dB to greater than 2.8 dB, the sensitivity is increased to > 90% as recommended by the American Heart Association, whereas the specificity was far from the recommended 95%, which is considered to be the major drawback of the available artifact removal methods. The overall performance of the adaptive filtering methods with additional reference signal outperforms the methods using only ECG signals. Further research should focus on the refinement of artifact filtering methods and the improvement of shock advice algorithms with the presence of CPR.

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Copyright © 2013 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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