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

Meghna Singh, Luis Fernandez-Luque, Jaideep Srivastava

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 (US)
Title of host publicationProceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017
EditorsPanagiotis D. Bamidis, Stathis Th. Konstantinidis, Pedro Pereira Rodrigues
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages680-681
Number of pages2
ISBN (Electronic)9781538617106
DOIs
StatePublished - Nov 10 2017
Event30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017 - Thessaloniki, Greece
Duration: Jun 22 2017Jun 24 2017

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
Volume2017-June
ISSN (Print)1063-7125

Other

Other30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017
CountryGreece
CityThessaloniki
Period6/22/176/24/17

    Fingerprint

Keywords

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

Cite this

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