Cargando…
On-line anxiety level detection from biosignals: Machine learning based on a randomized controlled trial with spider-fearful individuals
We present performance results concerning the validation for anxiety level detection based on trained mathematical models using supervised machine learning techniques. The model training is based on biosignals acquired in a randomized controlled trial. Wearable sensors were used to collect electroca...
Autores principales: | Ihmig, Frank R., H., Antonio Gogeascoechea, Neurohr-Parakenings, Frank, Schäfer, Sarah K., Lass-Hennemann, Johanna, Michael, Tanja |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7310735/ https://www.ncbi.nlm.nih.gov/pubmed/32574167 http://dx.doi.org/10.1371/journal.pone.0231517 |
Ejemplares similares
-
Effects of heart rate variability biofeedback during exposure to fear-provoking stimuli within spider-fearful individuals: study protocol for a randomized controlled trial
por: Schäfer, Sarah K., et al.
Publicado: (2018) -
Cortisol administration after extinction in a fear-conditioning paradigm with traumatic film clips prevents return of fear
por: Brueckner, Alexandra H., et al.
Publicado: (2019) -
Machine Learning for Anxiety Detection Using Biosignals: A Review
por: Ancillon, Lou, et al.
Publicado: (2022) -
Remembering the Object You Fear: Brain Potentials during Recognition of Spiders in Spider-Fearful Individuals
por: Michalowski, Jaroslaw M., et al.
Publicado: (2014) -
Enhanced Discriminative Fear Learning of Phobia-Irrelevant Stimuli in Spider-Fearful Individuals
por: Mosig, Carina, et al.
Publicado: (2014)