A machine learning shock decision algorithm for use during piston-driven chest compressions
Goal: Accurate shock decision methods during piston-driven cardiopulmonary resuscitation
(CPR) would contribute to improve therapy and increase cardiac arrest survival rates. The …
(CPR) would contribute to improve therapy and increase cardiac arrest survival rates. The …
An enhanced adaptive filtering method for suppressing cardiopulmonary resuscitation artifact
Y Gong, P Gao, L Wei, C Dai… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Cardiopulmonary resuscitation (CPR) must be interrupted for reliable rhythm analysis in
current automatic external defibrillators because of artifacts produced by chest …
current automatic external defibrillators because of artifacts produced by chest …
A multistage algorithm for ECG rhythm analysis during piston-driven mechanical chest compressions
Goal: An accurate rhythm analysis during cardiopulmonary resuscitation (CPR) would
contribute to increase the survival from out-of-hospital cardiac arrest. Piston-driven …
contribute to increase the survival from out-of-hospital cardiac arrest. Piston-driven …
Automatic detection of ventilations during mechanical cardiopulmonary resuscitation
Feedback on chest compressions and ventilations during cardiopulmonary resuscitation
(CPR) is important to improve survival from out-of-hospital cardiac arrest (OHCA). The …
(CPR) is important to improve survival from out-of-hospital cardiac arrest (OHCA). The …
[HTML][HTML] Estimating the amplitude spectrum area of ventricular fibrillation during cardiopulmonary resuscitation using only ECG waveform
F Zuo, Y Ding, C Dai, L Wei, Y Gong… - Annals of …, 2021 - ncbi.nlm.nih.gov
Background Amplitude spectrum area (AMSA) calculated from ventricular fibrillation (VF)
can be used to monitor the effectiveness of chest compression (CC) and optimize the timing …
can be used to monitor the effectiveness of chest compression (CC) and optimize the timing …
Restoration of the electrocardiogram during mechanical cardiopulmonary resuscitation
Objective: An artefact-free electrocardiogram (ECG) is essential during cardiac arrest to
decide therapy such as defibrillation. Mechanical cardiopulmonary resuscitation (CPR) …
decide therapy such as defibrillation. Mechanical cardiopulmonary resuscitation (CPR) …
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 …
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
Chest compressions delivered during cardiopulmonary resuscitation (CPR) induce artifacts
in the ECG that may make the shock advice algorithms (SAA) of defibrillators inaccurate …
in the ECG that may make the shock advice algorithms (SAA) of defibrillators inaccurate …
Shock decision algorithm for use during load distributing band cardiopulmonary resuscitation
Aim Chest compressions delivered by a load distributing band (LDB) induce artefacts in the
electrocardiogram. These artefacts alter shock decisions in defibrillators. The aim of this …
electrocardiogram. These artefacts alter shock decisions in defibrillators. The aim of this …
Detection of shockable rhythms using convolutional neural networks during chest compressions provided by a load distributing band
Load Distributing Band (LDB) mechanical chest compression devices are used to treat out-
of-hospital cardiac arrest (OHCA) patients. The artefacts that LDB chest compressions …
of-hospital cardiac arrest (OHCA) patients. The artefacts that LDB chest compressions …