Non-Invasive Data Acquisition and IoT Solution for Human Vital Signs Monitoring: Applications, Limitations and Future Prospects.

Salem, Mahmoud; Elkaseer, Ahmed; El-Maddah, Islam A M; Youssef, Khaled Y; Scholz, Steffen G; Mohamed, Hoda K

Salem, Mahmoud; Elkaseer, Ahmed; El-Maddah, Islam A M; Youssef, Khaled Y; Scholz, Steffen G; Mohamed, Hoda K.

Afiliación

Salem M; Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, 76344 Eggenstein-Leopoldshafen, Germany.
Elkaseer A; Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, 76344 Eggenstein-Leopoldshafen, Germany.
El-Maddah IAM; Karlsruhe Nano Micro Facility, Karlsruhe Institute of Technology, 76344 Eggenstein-Leopoldshafen, Germany.
Youssef KY; Faculty of Engineering, Port Said University, Port Said 42526, Egypt.
Scholz SG; Faculty of Engineering, Ain Shams University, Cairo 11535, Egypt.
Mohamed HK; Faculty of Navigation Science and Space Technology, Beni-Suef University, Beni-Suef 2731070, Egypt.

Sensors (Basel) ; 22(17)2022 Sep 01.

Article en En | MEDLINE | ID: mdl-36081081

Asunto(s)

Atención a la Salud; Signos Vitales; Humanos

Palabras clave

computer vision; digital image processing; healthcare system; internet of things (IoT); machine-to-machine (M2M) communication; non-invasive data acquisition; vital data; vital signs; wireless sensor network (WSN)

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Atención a la Salud / Signos Vitales Tipo de estudio: Diagnostic_studies / Prognostic_studies / Qualitative_research Aspecto: Determinantes_sociais_saude Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Suiza

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