Detalhe da pesquisa
1.
Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac Arrest.
Entropy (Basel)
; 21(3)2019 Mar 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-33267020
2.
Cardiac output estimation using ballistocardiography: a feasibility study in healthy subjects.
Sci Rep
; 14(1): 1671, 2024 01 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-38238507
3.
Spanish vs USA cohort comparison of prehospital trauma scores to predict short-term mortality.
Clin Med (Lond)
; 24(3): 100208, 2024 Apr 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-38643832
4.
Direct evaluation of the effect of filtering the chest compression artifacts on the uninterrupted cardiopulmonary resuscitation time.
Am J Emerg Med
; 31(6): 910-5, 2013 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-23680330
5.
Methods for calculating ventilation rates during resuscitation from out-of-hospital cardiac arrest.
Resuscitation
; 184: 109679, 2023 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-36572374
6.
Airway strategy and ventilation rates in the pragmatic airway resuscitation trial.
Resuscitation
; 176: 80-87, 2022 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-35597311
7.
Methodology and framework for the analysis of cardiopulmonary resuscitation quality in large and heterogeneous cardiac arrest datasets.
Resuscitation
; 168: 44-51, 2021 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-34509553
8.
Airway strategy and chest compression quality in the Pragmatic Airway Resuscitation Trial.
Resuscitation
; 162: 93-98, 2021 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-33582258
9.
Impedance Based Automatic Detection of Ventilations During Mechanical Cardiopulmonary Resuscitation.
Annu Int Conf IEEE Eng Med Biol Soc
; 2019: 19-23, 2019 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-31945835
10.
Convolutional Recurrent Neural Networks to Characterize the Circulation Component in the Thoracic Impedance during Out-of-Hospital Cardiac Arrest.
Annu Int Conf IEEE Eng Med Biol Soc
; 2019: 1921-1925, 2019 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-31946274
11.
ECG-based pulse detection during cardiac arrest using random forest classifier.
Med Biol Eng Comput
; 57(2): 453-462, 2019 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-30215212
12.
A Multistage Algorithm for ECG Rhythm Analysis During Piston-Driven Mechanical Chest Compressions.
IEEE Trans Biomed Eng
; 66(1): 263-272, 2019 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-29993407
13.
Capnography: A support tool for the detection of return of spontaneous circulation in out-of-hospital cardiac arrest.
Resuscitation
; 142: 153-161, 2019 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-31005583
14.
A Machine Learning Shock Decision Algorithm for Use During Piston-Driven Chest Compressions.
IEEE Trans Biomed Eng
; 66(6): 1752-1760, 2019 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-30387719
15.
Evaluation of chest compression artefact removal based on rhythm assessments made by clinicians.
Resuscitation
; 125: 104-110, 2018 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-29412147
16.
Feasibility of the capnogram to monitor ventilation rate during cardiopulmonary resuscitation.
Resuscitation
; 110: 162-168, 2017 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-27670357
17.
Circulation detection using the electrocardiogram and the thoracic impedance acquired by defibrillation pads.
Resuscitation
; 99: 56-62, 2016 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-26705970
18.
Reliability and accuracy of the thoracic impedance signal for measuring cardiopulmonary resuscitation quality metrics.
Resuscitation
; 88: 28-34, 2015 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-25524362
19.
Chest compression rate feedback based on transthoracic impedance.
Resuscitation
; 93: 82-8, 2015 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-26051811
20.
A new method for feedback on the quality of chest compressions during cardiopulmonary resuscitation.
Biomed Res Int
; 2014: 865967, 2014.
Artigo
em Inglês
| MEDLINE | ID: mdl-25243189