Abstract
Lack of sleep can Erode mental and physical well-being, often exacerbating health problems such as obesity. Wearable devices that capture and analyze sleep quality through predictive methodologies can help patients and medical practitioners make behavioral health decisions that can lead to better sleep and improved health. In the web extra at https://youtu.be/-zL-t4gk210, guest editor Katarzyna Wac interviews lead author Aarti Sathyanarayana, a PhD student in the University of Minnesota's Department of Computer Science.
| Original language | English (US) |
|---|---|
| Pages | 30-38 |
| Number of pages | 9 |
| Volume | 50 |
| No | 3 |
| Specialist publication | Computer |
| DOIs | |
| State | Published - Mar 2017 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- QoL technologies
- big data
- data analysis
- health monitoring
- health tracking
- healthcare
- mobile
- quality-of-life technologies
- sleep
- sleep science
- wearable devices
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