Soft Transducer for Patient's Vitals Telemonitoring with Deep Learning-Based Personalized Anomaly Detection.

Arpaia, Pasquale; Crauso, Federica; De Benedetto, Egidio; Duraccio, Luigi; Improta, Giovanni; Serino, Francesco

Arpaia, Pasquale; Crauso, Federica; De Benedetto, Egidio; Duraccio, Luigi; Improta, Giovanni; Serino, Francesco.

Afiliação

Arpaia P; Interdepartmental Research Center in Health Management and Innovation in Healthcare (CIRMIS), University of Naples Federico II, 80125 Naples, Italy.
Crauso F; Department of Information Technology and Electrical Engineering (DIETI), University of Naples Federico II, 80125 Naples, Italy.
De Benedetto E; Department of Public Health, University of Naples Federico II, 80125 Naples, Italy.
Duraccio L; Department of Information Technology and Electrical Engineering (DIETI), University of Naples Federico II, 80125 Naples, Italy.
Improta G; Department of Electronics and Telecommunications, Polytechnic University of Turin, 10129 Turin, Italy.
Serino F; Department of Public Health, University of Naples Federico II, 80125 Naples, Italy.

Sensors (Basel) ; 22(2)2022 Jan 11.

Article em En | MEDLINE | ID: mdl-35062496

Assuntos

Aprendizado Profundo; Aplicativos Móveis; Algoritmos; Humanos; Saturação de Oxigênio; Transdutores

Palavras-chave

LSTM; deep learning; health 4.0; machine learning; remote health monitoring; telemonitoring; vital sign monitoring; wearable sensors; wearable systems

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aplicativos Móveis / Aprendizado Profundo Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Itália

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