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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Perez-Macias, J.M. Jimison, H. Korhonen, I. Pavel, M. |
| Copyright Year | 2014 |
| Description | Author affiliation: Coll. of Comput. & Inf., Northeastern Univ., Boston, MA, USA (Jimison, H.; Pavel, M.) || Dept. of Signal Process., Tampere Univ. of Technol., Tampere, Finland (Perez-Macias, J.M.; Korhonen, I.) |
| Abstract | Poor sleep quality is associated with chronic diseases, weight increase and cognitive dysfunction. Home monitoring solutions offer the possibility of offering tailored sleep coaching interventions. There are several new commercially available devices for tracking sleep, and although they have been tested in sleep laboratories, little is known about the errors associated with the use in the home. To address this issue we performed a study in which we compared the sleep monitoring data from two commercially available systems: Fitbit One and Beddit Pro. We studied 23 subjects using both systems over a week each and analyzed the degree of agreement for different aspects of sleep. The results suggest the need for individual-tailoring of the estimation process. Not only do these models address improved accuracy of sleep quality estimates, but they also provide a framework for the representation and harmonization for monitoring data across studies. |
| Sponsorship | IEEE Eng. Med. Biol. Soc. |
| Starting Page | 4979 |
| Ending Page | 4982 |
| File Size | 782590 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424479290 |
| ISSN | 1557170X |
| DOI | 10.1109/EMBC.2014.6944742 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-08-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sleep Monitoring Educational institutions Heart rate Brain modeling Accuracy Atmospheric measurements |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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