Accurate Monitoring of 24-h Real-World Movement Behavior in People with Cerebral Palsy Is Possible Using Multiple Wearable Sensors and Deep Learning.

Novosel, Ivana Bardino; Ritterband-Rosenbaum, Anina; Zampoukis, Georgios; Nielsen, Jens Bo; Lorentzen, Jakob

Novosel, Ivana Bardino; Ritterband-Rosenbaum, Anina; Zampoukis, Georgios; Nielsen, Jens Bo; Lorentzen, Jakob.

Afiliación

Novosel IB; Department of Pediatric Neurology 5003, University Hospital Copenhagen, Rigshospitalet, 2100 Copenhagen, Denmark.
Ritterband-Rosenbaum A; Department of Neuroscience, Faculty of Health and Medical Sciences, The Panum Institute, Copenhagen University, 2200 Copenhagen, Denmark.
Zampoukis G; The Elsass Foundation, 2920 Charlottenlund, Denmark.
Nielsen JB; Department of Neuroscience, Faculty of Health and Medical Sciences, The Panum Institute, Copenhagen University, 2200 Copenhagen, Denmark.
Lorentzen J; Department of Neuroscience, Faculty of Health and Medical Sciences, The Panum Institute, Copenhagen University, 2200 Copenhagen, Denmark.

Sensors (Basel) ; 23(22)2023 Nov 08.

Article en En | MEDLINE | ID: mdl-38005433

Asunto(s)

Parálisis Cerebral; Aprendizaje Profundo; Dispositivos Electrónicos Vestibles; Adulto; Humanos; Movimiento; Ejercicio Físico

Palabras clave

cerebral palsy; deep learning; monitoring; movement behavior; wearable sensors

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Parálisis Cerebral / Dispositivos Electrónicos Vestibles / Aprendizaje Profundo Límite: Adult / Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Dinamarca Pais de publicación: Suiza

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