title: A review of the performance of artifact filtering algorithms for cardiopulmonary resuscitation.
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.
authors.affiliation: School of Biomedical Engineering, Chongqing University, Chongqing, China. johnsongong@163.com
authors.forename: Yushun
authors.initials: Y
authors.lastname: Gong
authors.forename: Bihua
authors.initials: B
authors.lastname: Chen
authors.forename: Yongqin
authors.initials: Y
authors.lastname: Li
mesh_terms: D000465:Algorithms; D016477:Artifacts; D016887:Cardiopulmonary Resuscitation / Q000706:statistics & numerical data*; D004562:Electrocardiography / Q000379:methods*; D006323:Heart Arrest / Q000175:diagnosis* / Q000453:epidemiology / Q000517:prevention & control*; D006801:Humans; D015994:Incidence; D015203:Reproducibility of Results; D018570:Risk Assessment; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted