Deep Learning-Based Human Activity Recognition for Continuous Activity and Gesture Monitoring for Schizophrenia Patients With Negative Symptoms

BACKGROUND: We aimed to develop a Human Activity Recognition (HAR) model using a wrist-worn device to assess patient activity in relation to negative symptoms of schizophrenia. METHODS: Data were analyzed in a randomized, three-way cross-over, proof-of-mechanism study (ClinicalTrials.gov: NCT0282405...

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Detalles Bibliográficos
Autores principales: Umbricht, Daniel, Cheng, Wei-Yi, Lipsmeier, Florian, Bamdadian, Atieh, Lindemann, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Psychiatry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7525025/
https://www.ncbi.nlm.nih.gov/pubmed/33192706
http://dx.doi.org/10.3389/fpsyt.2020.574375

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7525025/
https://www.ncbi.nlm.nih.gov/pubmed/33192706
http://dx.doi.org/10.3389/fpsyt.2020.574375

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