Abstract
Interruptions in cardiopulmonary resuscitation (CPR) decrease the chances of survival. However, CPR must be interrupted for a reliable rhythm analysis because chest compressions (CCs) induce artifacts in the ECG. This paper introduces a double-stage shock advice algorithm (SAA) for a reliable rhythm analysis during manual CCs. The method used two configurations of the recursive least-squares (RLS) filter to remove CC artifacts from the ECG. For each filtered ECG segment over 200 shock/no-shock decision features were computed and fed into a random forest (RF) classifier to select the most discriminative 25 features. The proposed SAA is an ensemble of two RF classifiers which were trained using the 25 features derived from different filter configurations. Then, the average value of class posterior probabilities was used to make a final shock/no-shock decision. The dataset was comprised of 506 shockable and 1697 non-shockable rhythms which were labelled by expert rhythm resuscitation reviewers in artifact-free intervals. Shock/no-shock diagnoses obtained through the proposed double-stage SAA were compared with the rhythm annotations to obtain the Sensitivity (Se), Specificity (Sp) and balanced accuracy (BAC) of the method. The results were 93.5%, 96.5% and 95.0%, respectively.
Original language | English |
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Title of host publication | Computing in Cardiology Conference, CinC 2018 |
ISBN (Electronic) | 9781728109589 |
DOIs | |
Publication status | Published - 1 Sep 2018 |
MoE publication type | A4 Article in a conference publication |
Event | Computing in Cardiology Conference - Maastricht, Netherlands Duration: 23 Sep 2018 → 26 Sep 2018 Conference number: 45 |
Publication series
Name | Computing in Cardiology |
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Volume | 2018-September |
ISSN (Print) | 2325-8861 |
ISSN (Electronic) | 2325-887X |
Conference
Conference | Computing in Cardiology Conference |
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Abbreviated title | CinC |
Country/Territory | Netherlands |
City | Maastricht |
Period | 23/09/2018 → 26/09/2018 |