The 360QS Toolkit for Sleep and Physical Activity Analysis Based on Wearables

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Sleep and physical activity are human behaviours that play a major role in our health. Poor sleep or lack of physical activity have been found to increase health risks and reduce quality of life. The rapid adoption and evolution of pervasive computing systems, both in the health and wellness domain, are creating a new data-intensive context in which we can learn about the sleep and physical activity patterns of individuals. In this paper we provide an overview of the toolkit we have developed to conduct research on personal health data about sleep and physical activity. This toolkit has been used to develop predictive models of sleep quality based on wearable data, and also to create data visualizations to help healthcare professionals in making decisions.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages680-681
Number of pages2
Volume2017-June
ISBN (Electronic)9781538617106
DOIs
Publication statusPublished - 10 Nov 2017
Event30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017 - Thessaloniki, Greece
Duration: 22 Jun 201724 Jun 2017

Other

Other30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017
CountryGreece
CityThessaloniki
Period22/6/1724/6/17

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Keywords

  • actigraphy
  • health informatics
  • pervasive health
  • quantified self
  • sleep quality
  • wearables

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

Cite this

Singh, M., Fernandez, L., & Srivastava, J. (2017). The 360QS Toolkit for Sleep and Physical Activity Analysis Based on Wearables. In Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017 (Vol. 2017-June, pp. 680-681). [8104278] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CBMS.2017.72