Accelerometer-based Sleep/Wake Detection in an Ambulatory Environment

Jan Cornelis, Elena Smets, Chris Van Hoof

Abstract

It has been shown that poor sleep quality and stress are major causes for mental and physical health problems in developed countries. Thanks to advancements in wearable technology, remote patient monitoring has become possible, without the need of cumbersome and expensive equipment. A method for sleep/wake detection is proposed, using chest-worn accelerometer sensors. A total of 1727 nights from 580 individuals were analysed, resulting on the identification of an average sleep time of 463 min (SD=±80 min) per day. Our algorithm was able to automatically detect 483 min (SD=±97 min) of sleep. Results show that actigraphy with an accelerometer located at the chest has potential for sleep monitoring, though further research is required for further validation, preferably using polysomnography as a benchmark.

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Paper Citation


in Harvard Style

Cornelis J., Smets E. and Van Hoof C. (2019). Accelerometer-based Sleep/Wake Detection in an Ambulatory Environment.In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, ISBN 978-989-758-353-7, pages 375-379. DOI: 10.5220/0007398603750379


in Bibtex Style

@conference{healthinf19,
author={Jan Cornelis and Elena Smets and Chris Van Hoof},
title={Accelerometer-based Sleep/Wake Detection in an Ambulatory Environment},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF,},
year={2019},
pages={375-379},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007398603750379},
isbn={978-989-758-353-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF,
TI - Accelerometer-based Sleep/Wake Detection in an Ambulatory Environment
SN - 978-989-758-353-7
AU - Cornelis J.
AU - Smets E.
AU - Van Hoof C.
PY - 2019
SP - 375
EP - 379
DO - 10.5220/0007398603750379