SCOPUS 정보 검색 플랫폼

Journal of Clinical Monitoring and Computing

Volumn 14, Issue 6, 1998, Pages 433-440

Detection of lung injury with conventional and neural network-based analysis of continuous data

(2) Räsänen, Jukka a León, Mauricio A b

a MAYO CLINIC (United States)

b UNIVERSITY OF MISSOURI (United States)

Author keywords

Artificial ventilation; Lung mechanics; Monitoring; Neural networks; Oleic acid; Respiratory failure

Indexed keywords

BACKPROPAGATION; FLOW PATTERNS; HEMODYNAMICS; HEMOGLOBIN OXYGEN SATURATION; NEURAL NETWORKS; OLEIC ACID; PATTERN RECOGNITION; PULMONARY DISEASES; RESPIRATORY MECHANICS; WAVEFORM ANALYSIS;

RESPIRATORY FAILURE;

PATIENT MONITORING;

OLEIC ACID; OXYHEMOGLOBIN;

AIRWAY PRESSURE; ANIMAL EXPERIMENT; ANIMAL MODEL; ARTERIAL BLOOD; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL VENTILATION; BLOOD GAS PARAMETERS; CONTROLLED STUDY; DOG; ESOPHAGUS PRESSURE; HEMODYNAMIC PARAMETERS; LUNG INJURY; LUNG MECHANICS; NERVE CELL NETWORK; NONHUMAN; OXYGEN SATURATION; PRIORITY JOURNAL; WAVEFORM;

EID: 0032147708 PISSN: 13871307 EISSN: None Source Type: Journal
DOI: 10.1023/A:1009938725385 Document Type: Article

Times cited : (11)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.