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Article

Toward Sensor-Based Sleep Monitoring with Electrodermal Activity Measures

1
Department of Biological Sciences, Wright State University, Dayton, OH 45435, USA
2
Department of Computer Science and Engineering, Wright State University, Dayton, OH 45435, USA
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(6), 1417; https://doi.org/10.3390/s19061417
Received: 29 January 2019 / Revised: 14 March 2019 / Accepted: 19 March 2019 / Published: 22 March 2019
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 model accounting for self-reported sleep efficiency (SE), sleep quality (SQ), and the latent factors in the EDA data. Structural equation modeling was used to confirm fit of the extracted graph to the data. Based on the generated graph, logistic regression and naïve Bayes models were used to test the efficacy of the EDA data in predicting SE and SQ. Six EDA features extracted from the total signal over a night’s sleep could be explained by two latent factors, EDA Magnitude and EDA Storms. EDA Magnitude performed as a strong predictor for SE to aid detection of substantial changes in time asleep. The performance of EDA Magnitude and SE in classifying SQ demonstrates promise for using a wearable sensor for sleep monitoring. However, our data suggest that obtaining a more accurate sensor-based measure of SE will be necessary before smaller changes in SQ can be detected from EDA sensor data alone. View Full-Text
Keywords: wearable sensor; electrodermal activity; sleep; model search wearable sensor; electrodermal activity; sleep; model search
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MDPI and ACS Style

Romine, W.; Banerjee, T.; Goodman, G. Toward Sensor-Based Sleep Monitoring with Electrodermal Activity Measures. Sensors 2019, 19, 1417. https://doi.org/10.3390/s19061417

AMA Style

Romine W, Banerjee T, Goodman G. Toward Sensor-Based Sleep Monitoring with Electrodermal Activity Measures. Sensors. 2019; 19(6):1417. https://doi.org/10.3390/s19061417

Chicago/Turabian Style

Romine, William, Tanvi Banerjee, and Garrett Goodman. 2019. "Toward Sensor-Based Sleep Monitoring with Electrodermal Activity Measures" Sensors 19, no. 6: 1417. https://doi.org/10.3390/s19061417

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