Toward Sensor-Based Sleep Monitoring with Electrodermal Activity Measures

We use self-report and electrodermal activity (EDA) wearable sensor data from 77 nights of sleep of six participants to test the efficacy of EDA data for sleep monitoring. We used factor analysis to find latent factors in the EDA data, and used causal model search to find the most probable graphical...

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Detalles Bibliográficos
Autores principales: Romine, William, Banerjee, Tanvi, Goodman, Garrett
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470539/
https://www.ncbi.nlm.nih.gov/pubmed/30909430
http://dx.doi.org/10.3390/s19061417

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470539/
https://www.ncbi.nlm.nih.gov/pubmed/30909430
http://dx.doi.org/10.3390/s19061417

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