Cargando…
Voice analyses using smartphone-based data in patients with bipolar disorder, unaffected relatives and healthy control individuals, and during different affective states
BACKGROUND: Voice features have been suggested as objective markers of bipolar disorder (BD). AIMS: To investigate whether voice features from naturalistic phone calls could discriminate between (1) BD, unaffected first-degree relatives (UR) and healthy control individuals (HC); (2) affective states...
Autores principales: | Faurholt-Jepsen, Maria, Rohani, Darius Adam, Busk, Jonas, Vinberg, Maj, Bardram, Jakob Eyvind, Kessing, Lars Vedel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8632566/ https://www.ncbi.nlm.nih.gov/pubmed/34850296 http://dx.doi.org/10.1186/s40345-021-00243-3 |
Ejemplares similares
-
Smartphone-based activity measurements in patients with newly diagnosed bipolar disorder, unaffected relatives and control individuals
por: Stanislaus, Sharleny, et al.
Publicado: (2020) -
Automatically Generated Smartphone Data in Young Patients With Newly Diagnosed Bipolar Disorder and Healthy Controls
por: Melbye, Sigurd, et al.
Publicado: (2021) -
Differences in mood instability in patients with bipolar disorder type I and II: a smartphone-based study
por: Faurholt-Jepsen, Maria, et al.
Publicado: (2019) -
Mood, activity, and sleep measured via daily smartphone-based self-monitoring in young patients with newly diagnosed bipolar disorder, their unaffected relatives and healthy control individuals
por: Melbye, Sigurd Arne, et al.
Publicado: (2020) -
Forecasting Mood in Bipolar Disorder From Smartphone Self-assessments: Hierarchical Bayesian Approach
por: Busk, Jonas, et al.
Publicado: (2020)