ANN-Based Discernment of Septic and Inflammatory Synovial Fluid: A Novel Method Using Viscosity Data from a QCR Sensor.

Miranda-Martínez, Andrés; Sufrate-Vergara, Berta; Fernández-Puntero, Belén; Alcaide-Martin, María José; Buño-Soto, Antonio; Serrano-Olmedo, José Javier

Miranda-Martínez, Andrés; Sufrate-Vergara, Berta; Fernández-Puntero, Belén; Alcaide-Martin, María José; Buño-Soto, Antonio; Serrano-Olmedo, José Javier.

Afiliação

Miranda-Martínez A; Centre for Biomedical Technology (CTB), Universidad Politécnica de Madrid (UPM), 28040 Madrid, Spain.
Sufrate-Vergara B; Department of Clinical Analysis-Emergency, Hospital Universitario La Paz (HULP), 28046 Madrid, Spain.
Fernández-Puntero B; Department of Clinical Analysis-Emergency, Hospital Universitario La Paz (HULP), 28046 Madrid, Spain.
Alcaide-Martin MJ; Department of Clinical Analysis-Emergency, Hospital Universitario La Paz (HULP), 28046 Madrid, Spain.
Buño-Soto A; Department of Clinical Analysis-Emergency, Hospital Universitario La Paz (HULP), 28046 Madrid, Spain.
Serrano-Olmedo JJ; Centre for Biomedical Technology (CTB), Universidad Politécnica de Madrid (UPM), 28040 Madrid, Spain.

Sensors (Basel) ; 22(23)2022 Dec 02.

Article em En | MEDLINE | ID: mdl-36502129

Assuntos

Líquido Sinovial; Líquido Sinovial/química; Viscosidade

Palavras-chave

Artificial Neural Networks; inflammatory synovial fluid; quartz crystal resonator; septic synovial fluid; synovial fluid

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Líquido Sinovial Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Líquido Sinovial Idioma: En Ano de publicação: 2022 Tipo de documento: Article