Automated mechanical ventilation: Adapting decision making to different disease states

Medical and Biological Engineering and Computing

Volumn 49, Issue 3, 2011, Pages 349-358

  Lozano Zahonero, S ^a   Gottlieb, D ^b   Haberthur C ^c   Guttmann, J ^b   Moller K ^a  

^a FURTWANGEN UNIVERSITY   (Germany)

^b UNIVERSITY OF FREIBURG   (Germany)

^c Department of Anesthesiology   (Switzerland)

Author keywords

ARDS; Carbon dioxide partial pressure; Expert knowledge; Fuzzy logic; Ventilation management

Indexed keywords

ACUTE RESPIRATORY DISTRESS SYNDROME; ARDS; AUTOMATED PROCESS; CLINICAL KNOWLEDGE; DECISION-MAKING STRATEGIES; DISEASE STATE; EXPERT-KNOWLEDGE; MECHANICAL VENTILATION; NOVEL METHODOLOGY; VENTILATION MANAGEMENT;

AUTOMATION; CARBON DIOXIDE; DECISION MAKING; DISEASE CONTROL; EXPERT SYSTEMS; FUZZY SETS; PARTIAL PRESSURE;

VENTILATION;

CARBON DIOXIDE;

ADULT RESPIRATORY DISTRESS SYNDROME; ARTICLE; ARTIFICIAL VENTILATION; BLOOD; COMPUTER ASSISTED THERAPY; EVALUATION; EXPERT SYSTEM; FUZZY LOGIC; HUMAN; METHODOLOGY; PRESSURE;

CARBON DIOXIDE; EXPERT SYSTEMS; FUZZY LOGIC; HUMANS; PARTIAL PRESSURE; RESPIRATION, ARTIFICIAL; RESPIRATORY DISTRESS SYNDROME, ADULT; THERAPY, COMPUTER-ASSISTED;

EID: 79952623090     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11517-010-0712-0     Document Type: Article

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