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Volumn 62, Issue 2, 2017, Pages 144-149

Ability of ICU health-care professionals to identify patient-ventilator asynchrony using waveform analysis

Author keywords

Critical care; Intensive care unit; Mechanical ventilation; Patient ventilator asynchrony; Ventilator graphics; Waveforms

Indexed keywords

ADULT; AGED; AIRWAY PRESSURE; ARTICLE; ARTIFICIAL VENTILATION; CLINICAL ASSESSMENT; CLINICAL EVALUATION; COMPARATIVE STUDY; CYCLING; EDUCATION; EXPIRATORY FLOW; FEMALE; FREQUENCY ANALYSIS; HEALTH CARE PERSONNEL; HUMAN; INSPIRATORY CAPACITY; INTENSIVE CARE; INTENSIVE CARE UNIT; KNOWLEDGE; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; NURSE; OBSERVATIONAL STUDY; PERCEPTIVE THRESHOLD; PHYSICIAN; PHYSIOTHERAPIST; PRESSURE; TRAINING; VENTILATED PATIENT; WAVEFORM; WORK ENVIRONMENT; YOUNG ADULT; ADVERSE EFFECTS; BREATHING MECHANICS; CLINICAL COMPETENCE; CLINICAL TRIAL; LUNG VENTILATION; MECHANICAL VENTILATOR; MULTICENTER STUDY; OBSERVER VARIATION; PHYSIOLOGY; STANDARDS;

EID: 85030616347     PISSN: 00201324     EISSN: 19433654     Source Type: Journal    
DOI: 10.4187/respcare.04750     Document Type: Article
Times cited : (53)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.