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A Deep Learning-Based Camera Approach for Vital Sign Monitoring Using Thermography Images for ICU Patients.
Lyra, Simon; Mayer, Leon; Ou, Liyang; Chen, David; Timms, Paddy; Tay, Andrew; Chan, Peter Y; Ganse, Bergita; Leonhardt, Steffen; Hoog Antink, Christoph.
Afiliação
  • Lyra S; Medical Information Technology, Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, 52074 Aachen, Germany.
  • Mayer L; Medical Information Technology, Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, 52074 Aachen, Germany.
  • Ou L; Medical Information Technology, Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, 52074 Aachen, Germany.
  • Chen D; Eastern Health Clinical School, Monash University Melbourne, Box Hill, VIC 3128, Australia.
  • Timms P; Eastern Health Clinical School, Monash University Melbourne, Box Hill, VIC 3128, Australia.
  • Tay A; Eastern Health Clinical School, Monash University Melbourne, Box Hill, VIC 3128, Australia.
  • Chan PY; Eastern Health Clinical School, Monash University Melbourne, Box Hill, VIC 3128, Australia.
  • Ganse B; Research Centre for Musculoskeletal Science and Sports Medicine, Manchester Metropolitan University, Manchester M1 5GD, UK.
  • Leonhardt S; Medical Information Technology, Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, 52074 Aachen, Germany.
  • Hoog Antink C; Medical Information Technology, Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, 52074 Aachen, Germany.
Sensors (Basel) ; 21(4)2021 Feb 21.
Article em En | MEDLINE | ID: mdl-33670066

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Termografia / Sinais Vitais / Aprendizado Profundo / Unidades de Terapia Intensiva Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Termografia / Sinais Vitais / Aprendizado Profundo / Unidades de Terapia Intensiva Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Alemanha