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Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac Arrest
(MDPI, 2019-03-21)
The automatic detection of pulse during out-of-hospital cardiac arrest (OHCA) is necessary for the early recognition of the arrest and the detection of return of spontaneous circulation (end of the arrest). The only signal ...
A Machine Learning Framework for Pulse Detection During Out-of-Hospital Cardiac Arrest
(IEEE, 2020-09-02)
The availability of an automatic pulse detection during out-of-hospital cardiac arrest (OHCA)
would allow the rapid identi cation of cardiac arrest and the prompt detection of return of spontaneous
circulation. The aim ...
A Multistage Algorithm for ECG Rhythm Analysis During Piston-Driven Mechanical Chest Compressions
(IEEE, 2019-01)
Goal: An accurate rhythm analysis during cardiopulmonary resuscitation (CPR) would contribute to increase the survival from out-of-hospital cardiac arrest. Piston-driven mechanical compression devices are frequently used ...
A Machine Learning Shock Decision Algorithm for Use During Piston-Driven Chest Compressions
(IEEE, 2019-06)
Goal: Accurate shock decision methods during piston-driven cardiopulmonary resuscitation (CPR) would contribute to improve therapy and increase cardiac arrest survival rates. The best current methods are computationally ...
Capnography: A support tool for the detection of return of spontaneous circulation in out-of-hospital cardiac arrest
(Elsevier, 2019-09)
Background
Automated detection of return of spontaneous circulation (ROSC) is still an unsolved problem
during cardiac arrest. Current guidelines recommend the use of capnography, but most
automatic methods are based ...
Feasibility of the capnogram to monitor ventilation rate during cardiopulmonary resuscitation
(Elsevier, 2017-01)
Aim:The rates of chest compressions (CCs) and ventilations are both important metrics to monitor
the quality of cardiopulmonary resuscitation (CPR). Capnography permits monitoring
ventilation, but the CCs provided during ...
Restoration of the electrocardiogram during mechanical cardiopulmonary resuscitation
(IOP, 2020-04-04)
Objective: An artefact-free electrocardiogram (ECG) is essential during cardiac arrest to decide therapy such as defibrillation. Mechanical cardiopulmonary resuscitation (CPR) devices cause movement artefacts that alter ...
Evaluation of chest compression artefact removal based on rhythm assessments made by clinicians
(Elsevier, 2018-01-31)
Aim
To evaluate the performance of a state-of-the-art cardiopulmonary resuscitation (CPR) artefact suppression method by assessing to what extent the filtered electrocardiogram (ECG) can be correctly diagnosed by emergency ...