Title
An Accurate Shock Advise Algorithm for Use During Piston-Driven Chest CompressionsAuthor
Author (from another institution)
Published Date
2018Publisher
IEEEKeywords
Cardiopulmonary ResuscitationThorax
Compression depth
Abstract
Mechanically delivered chest compressions induce artifacts in the ECG that can lead to an incorrect diagnosis of the shock advice algorithms implemented in the defibrillators. This forces the rescuer ... [+]
Mechanically delivered chest compressions induce artifacts in the ECG that can lead to an incorrect diagnosis of the shock advice algorithms implemented in the defibrillators. This forces the rescuer to stop cardiopulmonary resuscitation (CPR) compromising circulation and thus reducing the probability of survival. This paper introduces a new approach for a reliable rhythm analysis during mechanical compressions which consists of an artifact supression filter based on the recursive least squares algorithm, and a shock/no-shock decision algorithm based on machine learning techniques that uses features obtained from the filtered ECG. Data were collected from 230 out-of-hospital cardiac arrest patients treated with the LUCAS CPR device. The underlying rhythms were annotated in artifact-free intervals by consesus of expert resuscitation rhythm reviewers. Shock/no-shock diagnoses obtained through the decision algorithm were compared with the rhythm annotations to obtain the sensitivity (Se), specificity (Sp) and balanced accuracy (BAC) of the method. The results obtained were: 94.7% (Se), 97.1% (Sp) and 95.9% (BAC). [-]
Publisher’s version
http://dx.doi.org/10.22489/CinC.2018.204ISBN
9781728109589ISSN
2325-887XPublished at
Computing in Cardiology Conference (CinC). Maastricht, Netherlands Vol.45, 23-26 September. IEEE, 2018Document type
Conference paper
Version
Published
Rights
© 2018 The AuthorsAccess
Open AccessCollections
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