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Feasibility Study of a Consumer Multi-sensory Wristband to Monitor Sleep Disorder

Title
Feasibility Study of a Consumer Multi-sensory Wristband to Monitor Sleep Disorder
Authors
Lee, Sang-HoYun, SanghunAn, JinungLee, Dong-Ha
DGIST Authors
Lee, Sang-Ho; Yun, Sanghun; An, Jinung; Lee, Dong-Ha
Issue Date
2019-12-06
Citation
6th Annual International Conference on Computational Science and Computational Intelligence, CSCI 2019, 1560-1561
Type
Conference
ISBN
9781728155845
Abstract
The new generation of consumer wristbands are now able to classify sleep stages based on multiple sensing data. Several studies have validated the accuracy of one of the latest models, that is, Fitbit Charge 2, in measuring polysomnographic(PSG) parameters. Nevertheless, its feasibility in measuring sleep disorder remains unknown. This study aimed to evaluate the potential of Fitbit Charge 2 as a means of monitoring sleep disorders for workers. We recruited participants without mental and medical diseases from 3 sites consisting of department, hospital and research institute. Sleep data were obtained from 3-month night recording at each worker's home in 95 adults (22-64 years; 68 women; over 20 participants from each site). Our results indicate that there are some differences in sleep patterns in different occupations. © 2019 IEEE.
URI
http://hdl.handle.net/20.500.11750/12057
DOI
10.1109/CSCI49370.2019.00296
Publisher
American Council on Science & Education
Related Researcher
  • Author An, Jinung Brain Robot Augmented InteractioN(BRAIN) Laboratory
  • Research Interests
Files:
There are no files associated with this item.
Collection:
Division of Intelligent Robot2. Conference Papers
Division of Electronics & Information System2. Conference Papers


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