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Enhanced SpO2 estimation using explainable machine learning and neck photoplethysmography.
Zhong, Yuhao; Jatav, Ashish; Afrin, Kahkashan; Shivaram, Tejaswini; Bukkapatnam, Satish T S.
Afiliación
  • Zhong Y; Wm Michael Barnes '64 Department of Industrial & Systems Engineering, Texas A&M University, College Station, TX 77840, USA. Electronic address: hirobin_zhong@tamu.edu.
  • Jatav A; Wm Michael Barnes '64 Department of Industrial & Systems Engineering, Texas A&M University, College Station, TX 77840, USA. Electronic address: ashish.jatav@pint-ai.com.
  • Afrin K; Wm Michael Barnes '64 Department of Industrial & Systems Engineering, Texas A&M University, College Station, TX 77840, USA. Electronic address: afrin@tamu.edu.
  • Shivaram T; Department of Electrical & Computer Engineering, Texas A&M University, College Station, TX 77840, USA. Electronic address: stejaswini@tamu.edu.
  • Bukkapatnam STS; Wm Michael Barnes '64 Department of Industrial & Systems Engineering, Texas A&M University, College Station, TX 77840, USA. Electronic address: satish@tamu.edu.
Artif Intell Med ; 145: 102685, 2023 11.
Article en En | MEDLINE | ID: mdl-37925216
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Oxígeno / Fotopletismografía Límite: Humans Idioma: En Revista: Artif Intell Med Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article
Texto completo
Añadir a Mi BVS
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Oxígeno / Fotopletismografía Límite: Humans Idioma: En Revista: Artif Intell Med Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article