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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...
Autores principales: | Umbricht, Daniel, Cheng, Wei-Yi, Lipsmeier, Florian, Bamdadian, Atieh, Lindemann, Michael |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
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 |
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