Comparative assessment of sleep quality estimates using home monitoring technology

J.M. Perez-Macias, H. Jimison, I. Korhonen, M. Pavel

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

11 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publication36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages4979-4982
ISBN (Print)978-1-4244-7929-0
DOIs
Publication statusPublished - 2014
MoE publication typeA4 Article in a conference publication
Event36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 - Chicago, United States
Duration: 26 Aug 201430 Aug 2014
Conference number: 36

Conference

Conference36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
Abbreviated titleEMBC 2014
CountryUnited States
CityChicago
Period26/08/1430/08/14

Fingerprint

Sleep
Technology
Polysomnography
Chronic Disease
Weights and Measures
Equipment and Supplies

Keywords

  • sleep
  • Monitoring
  • Educational institutions
  • hearth rate
  • brain modeling
  • accuracy
  • atmospheric measurements

Cite this

Perez-Macias, J. M., Jimison, H., Korhonen, I., & Pavel, M. (2014). Comparative assessment of sleep quality estimates using home monitoring technology. In Proceedings: 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 (pp. 4979-4982). Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/EMBC.2014.6944742
Perez-Macias, J.M. ; Jimison, H. ; Korhonen, I. ; Pavel, M. / Comparative assessment of sleep quality estimates using home monitoring technology. Proceedings: 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronic Engineers IEEE, 2014. pp. 4979-4982
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Perez-Macias, JM, Jimison, H, Korhonen, I & Pavel, M 2014, Comparative assessment of sleep quality estimates using home monitoring technology. in Proceedings: 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronic Engineers IEEE, pp. 4979-4982, 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, Chicago, United States, 26/08/14. https://doi.org/10.1109/EMBC.2014.6944742

Comparative assessment of sleep quality estimates using home monitoring technology. / Perez-Macias, J.M.; Jimison, H.; Korhonen, I.; Pavel, M.

Proceedings: 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronic Engineers IEEE, 2014. p. 4979-4982.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Perez-Macias JM, Jimison H, Korhonen I, Pavel M. Comparative assessment of sleep quality estimates using home monitoring technology. In Proceedings: 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronic Engineers IEEE. 2014. p. 4979-4982 https://doi.org/10.1109/EMBC.2014.6944742