Cargando…
A smartphone- and wearable-based biomarker for the estimation of unipolar depression severity
Drug development for mood disorders can greatly benefit from the development of robust, reliable, and objective biomarkers. The incorporation of smartphones and wearable devices in clinical trials provide a unique opportunity to monitor behavior in a non-invasive manner. The objective of this study...
Autores principales: | Zhuparris, Ahnjili, Maleki, Ghobad, van Londen, Liesbeth, Koopmans, Ingrid, Aalten, Vincent, Yocarini, Iris E., Exadaktylos, Vasileios, van Hemert, Albert, Cohen, Adam, Gal, Pim, Doll, Robert-Jan, Groeneveld, Geert Jan, Jacobs, Gabriël, Kraaij, Wessel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620211/ https://www.ncbi.nlm.nih.gov/pubmed/37914808 http://dx.doi.org/10.1038/s41598-023-46075-2 |
Ejemplares similares
-
Machine Learning Techniques for Developing Remotely Monitored Central Nervous System Biomarkers Using Wearable Sensors: A Narrative Literature Review
por: ZhuParris, Ahnjili, et al.
Publicado: (2023) -
Smartphone and Wearable Sensors for the Estimation of Facioscapulohumeral Muscular Dystrophy Disease Severity: Cross-sectional Study
por: Zhuparris, Ahnjili, et al.
Publicado: (2023) -
Objective Monitoring of Facioscapulohumeral Dystrophy During Clinical Trials Using a Smartphone App and Wearables: Observational Study
por: Maleki, Ghobad, et al.
Publicado: (2022) -
A cross-sectional study in healthy elderly subjects aimed at development of an algorithm to increase identification of Alzheimer pathology for the purpose of clinical trial participation
por: Prins, Samantha, et al.
Publicado: (2021) -
Development and Technical Validation of a Smartphone-Based Cry Detection Algorithm
por: ZhuParris, Ahnjili, et al.
Publicado: (2021)