Impedance-based ventilation detection during cardiopulmonary resuscitation

IEEE Transactions on Biomedical Engineering

Volumn 54, Issue 12, 2007, Pages 2237-2245

  Risdal, Martin ^a   Aase, Sven Ole ^b   Stavland, Mette ^c   Eftestøl, Trygve ^b  

^a Roxar ASA   (Norway)

^b UNIVERSITY OF STAVANGER   (Norway)

^c Laerdal Medical   (Norway)

Author keywords

Defibrillators; Impedance; Neural networks; Pattern recognition

Indexed keywords

BIOLOGICAL ORGANS; CARDIOLOGY; DEFIBRILLATORS; FEEDBACK; NEURAL NETWORKS; PATIENT MONITORING; PATTERN RECOGNITION; VENTILATION;

CARDIAC ARREST PATIENTS; CARDIOPULMONARY RESUSCITATION; THORACIC IMPEDANCE; VENTILATION DETECTION;

RESUSCITATION;

ARTICLE; COMPRESSION; HEART ARREST; HUMAN; IMPEDANCE; LUNG VENTILATION; PATTERN RECOGNITION; PERFORMANCE; PREDICTION AND FORECASTING; RESUSCITATION; SENSITIVITY ANALYSIS; SIGNAL DETECTION; THORAX;

ALGORITHMS; CARDIOGRAPHY, IMPEDANCE; CARDIOPULMONARY RESUSCITATION; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; PROGNOSIS; PULMONARY VENTILATION; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; THERAPY, COMPUTER-ASSISTED;

EID: 36448937826     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2007.908328     Document Type: Article

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