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Channel phase processing in wireless networks for human activity recognition
(Elsevier, 2023-12)
The phase of the channel state information (CSI) is underutilized as a source of information in wireless sensing due to its sensitivity to synchronization errors of the signal reception. A linear transformation of the phase ...
A Machine Learning Model for the Prognosis of Pulseless Electrical Activity during Out-of-Hospital Cardiac Arrest
(MDPI, 2021-06-30)
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-hospital cardiac arrest (OHCA) cases. ...
Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks
(MDPI, 2020-05-27)
Chest compressions during cardiopulmonary resuscitation (CPR) induce artifacts in the ECG that may provoque inaccurate rhythm classification by the algorithm of the defibrillator. The objective of this study was to design ...
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 ...
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 ...
A New Method to Design Trifurcated Optical Fiber Displacement Sensors
(IEEE, 2024-01)
Trifurcated optical fiber displacement sensors (OFDSs) are increasingly used in industrial and aerospace applications. The critical element of the sensor is the fiber bundle. However, there is no straightforward method to ...
The Role of Chest Compressions on Ventilation during Advanced Cardiopulmonary Resuscitation
(MDPI, 2023-11-03)
There is growing interest in the quality of manual ventilation during cardiopulmonary resuscitation (CPR), but accurate assessment of ventilation parameters remains a challenge. Waveform capnography is currently the reference ...
Cardiac output estimation using ballistocardiography: a feasibility study in healthy subjects
(Nature, 2024)
There is no reliable automated non-invasive solution for monitoring circulation and guiding treatment in prehospital emergency medicine. Cardiac output (CO) monitoring might provide a solution, but CO monitors are not ...
Characterization of mechanical properties of adult chests during pre-hospital manual chest compressions through a simple viscoelastic model
(Elsevier, 2023-12)
Aim
The purpose of this study was to develop a simple viscoelastic model to characterize the mechanical properties of chests during manual chest compressions in pre-hospital cardiopulmonary resuscitation (CPR).
Metho ...
Spanish vs USA cohort comparison of prehospital trauma scores to predict short-term mortality
(Elsevier, 2024-05)
Background
This study aimed to evaluate three prehospital early warning scores (EWSs): RTS, MGAP and MREMS, to predict short-term mortality in acute life-threatening trauma and injury/illness by comparing United States ...