Deep neural network approach for continuous ECG‐based automated external defibrillator shock advisory system during cardiopulmonary resuscitation

S Hajeb‐M, A Cascella, M Valentine… - Journal of the American …, 2021 - Am Heart Assoc
Background Because chest compressions induce artifacts in the ECG, current automated
external defibrillators instruct the user to stop cardiopulmonary resuscitation (CPR) while an …

Automated condition-based suppression of the CPR artifact in ECG data to make a reliable shock decision for AEDs during CPR

S Hajeb-Mohammadalipour, A Cascella, M Valentine… - Sensors, 2021 - mdpi.com
Cardiopulmonary resuscitation (CPR) corrupts the morphology of the electrocardiogram
(ECG) signal, resulting in an inaccurate automated external defibrillator (AED) rhythm …

Enhancing the accuracy of shock advisory algorithms in automated external defibrillators during ongoing cardiopulmonary resuscitation using a deep convolutional …

S Hajeb-M, A Cascella, M Valentine… - Expert Systems with …, 2022 - Elsevier
Survival from out-of-hospital cardiac arrests (OHCA) depends on an accurate defibrillatory
shock decision during cardiopulmonary resuscitation (CPR). Since chest compressions …

A shock advisory algorithm based on hybrid network for ECG disturbed by cardiopulmonary resuscitation

Y Chen, Y Zheng, Y Huang, X Wu - Biomedical Signal Processing and …, 2024 - Elsevier
Abstract Background and Objective: During cardiopulmonary resuscitation (CPR), chest
compressions generate significant artifacts, leading to pre-shock and post-shock pauses that …

A robust machine learning architecture for a reliable ECG rhythm analysis during CPR

I Isasi, U Irusta, A Elola, E Aramendi… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
Chest compressions delivered during cardiopulmonary resuscitation (CPR) induce artifacts
in the ECG that may make the shock advice algorithms (SAA) of defibrillators inaccurate …

Automated polysomnography analysis for detection of non-apneic and non-hypopneic arousals using feature engineering and a bidirectional LSTM network

AB Rad, M Zabihi, Z Zhao, M Gabbouj… - arXiv preprint arXiv …, 2019 - arxiv.org
Objective: The aim of this study is to develop an automated classification algorithm for
polysomnography (PSG) recordings to detect non-apneic and non-hypopneic arousals. Our …

Classification of Cardiac Rhythms During Load-Distributing Band Cardiopulmonary Resuscitation

A Elola, I Isasi, S Entenza… - 2023 Computing in …, 2023 - ieeexplore.ieee.org
Rhythm analysis is crucial during cardiopulmonary resuscitation (CPR) in order to make
decisions about therapy. Nowadays, chest compressions (basic treatment for cardiac arrest) …

Nonlinear filters and deep learning for removing chest compression artifacts from electrocardiogram measurements during cardiac arrest

SD Verboom - 2020 - essay.utwente.nl
The key treatment actions of cardiac arrest include high-quality chest compression and quick
defibrillation. Quick defibrillation is an effective treatment for so-called shockable underlying …

わが国のAED 波形解析時の胸骨圧迫によるショック充電キャンセルとVT 診断についての調査

濵田千枝美, 蓑田恒平, 三宅功祐, 眞田彩華… - 日本臨床救急医学会 …, 2022 - jstage.jst.go.jp
抄録 わが国においてショック充電中に胸骨圧迫を実施すると充電がキャンセルされる AED
が存在するといわれているが, その実状は不明である. また, 無脈性心室頻拍の際に AED …