A CFD-based Kriging surrogate modeling approach for predicting device-specific hemolysis power law coefficients in blood-contacting medical devices.

Craven, Brent A; Aycock, Kenneth I; Herbertson, Luke H; Malinauskas, Richard A

Craven, Brent A; Aycock, Kenneth I; Herbertson, Luke H; Malinauskas, Richard A.

Afiliación

Craven BA; Division of Applied Mechanics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, United States Food and Drug Administration, Silver Spring, MD, USA. brent.craven@fda.hhs.gov.
Aycock KI; Division of Applied Mechanics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, United States Food and Drug Administration, Silver Spring, MD, USA.
Herbertson LH; Division of Applied Mechanics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, United States Food and Drug Administration, Silver Spring, MD, USA.
Malinauskas RA; Division of Applied Mechanics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, United States Food and Drug Administration, Silver Spring, MD, USA.

Biomech Model Mechanobiol ; 18(4): 1005-1030, 2019 Aug.

Article en En | MEDLINE | ID: mdl-30815758

Asunto(s)

Corazón Auxiliar; Hemólisis/fisiología; Hidrodinámica; Modelos Cardiovasculares; Algoritmos; Animales; Bovinos

Palabras clave

Blood damage; Hemolysis; Kriging surrogate modeling; Power law model

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Corazón Auxiliar / Hidrodinámica / Hemólisis / Modelos Cardiovasculares Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Biomech Model Mechanobiol Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google