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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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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6470539/ https://ncbi.nlm.nih.gov/pubmed/30909430 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19061417 |
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