Objective: There is a need to monitor the heart rhythm in resuscitation to improve treatment
quality. Resuscitation rhythms are categorized into: ventricular tachycardia (VT), ventricular …

Sudden cardiac arrest is one of the leading causes of death in the industrialized world.
Pulse detection is essential for the recognition of the arrest and the recognition of return of …

Goal: Identifying the circulation state during out-of-hospital cardiac arrest (OHCA) is
essential to determine what life-saving therapies to apply. Currently algorithms discriminate …

Aim To develop and evaluate a method to detect circulation in the presence of organized
rhythms (ORs) during resuscitation using signals acquired by defibrillation pads. Methods …

Background Automated detection of return of spontaneous circulation (ROSC) is still an
unsolved problem during cardiac arrest. Current guidelines recommend the use of …

Pulseless electrical activity (PEA) is characterized by the disassociation of the mechanical
and electrical activity of the heart and appears as the initial rhythm in 20–30% of out-of …

Aim To design and evaluate a simple algorithm able to discriminate pulsatile rhythms from
pulseless electrical activity during automated external defibrillator (AED) analysis intervals …

During cardiopulmonary resuscitation (CPR), the need to interrupt chest compressions to
provide synchronous ventilations prevents blood flow continuity, reducing the possibility to …

Aim: Chest compression artefacts impede a reliable rhythm analysis during cardiopulmonary
resuscitation (CPR). These artefacts are not present during ventilations in 30: 2 CPR. The …

Detecting return of spontaneous circulation (ROSC) during cardiopulmonary resuscitation
(CPR) is challenging, time consuming, and requires interrupting chest compressions. Based …