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Volumn 24, Issue 4, 2010, Pages 319-333

Parallel particle filters for online identification of mechanistic mathematical models of physiology from monitoring data: Performance and real-time scalability in simulation scenarios

Author keywords

cardiovascular physiology; inverse problem; mathematical model; monitoring; parallel computing; parameter estimation; particle filter; state estimation

Indexed keywords

ARTERIAL PRESSURES; CARDIAC OUTPUT; CARDIOVASCULAR PHYSIOLOGY; CENTRAL VENOUS PRESSURE; CLINICAL DATA; COMPUTERIZED DECISION; END-DIASTOLIC; HEART RATES; NON-LINEAR; ON-LINE IDENTIFICATION; PARALLEL COMPUTER; PARALLEL COMPUTING; PARAMETER VALUES; PARAMETRIZATIONS; PARTICLE FILTER; POSTERIOR DISTRIBUTIONS; PRIOR KNOWLEDGE; PROBABILISTIC INFERENCE; STATE AUGMENTATION; STOCHASTIC EVOLUTION; UNKNOWN PARAMETERS;

EID: 77956875226     PISSN: 13871307     EISSN: 15732614     Source Type: Journal    
DOI: 10.1007/s10877-010-9252-2     Document Type: Article
Times cited : (10)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.