Projects per year
Abstract
Sleep staging based on polysomnography (PSG) performed by human experts is the de facto “gold standard” for the objective measurement of sleep. PSG and manual sleep staging is, however, personnel-intensive and time-consuming and it is thus impractical to monitor a person’s sleep architecture over extended periods. Here, we present a novel, low-cost, automatized, deep learning alternative to PSG sleep staging that provides a reliable epoch-by-epoch four-class sleep staging approach (Wake, Light [N1 + N2], Deep, REM) based solely on inter-beat-interval (IBI) data. Having trained a multi-resolution convolutional neural network (MCNN) on the IBIs of 8898 full-night manually sleep-staged recordings, we tested the MCNN on sleep classification using the IBIs of two low-cost (
Original language | English |
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Article number | 2390 |
Number of pages | 17 |
Journal | Sensors |
Volume | 23 |
Issue number | 5 |
DOIs | |
Publication status | Published - 21 Feb 2023 |
Bibliographical note
Publisher Copyright:© 2023 by the authors.
Keywords
- automatic sleep staging
- heart-rate variability
- wearables
- machine learning
- digital CBT-I
Fields of Science and Technology Classification 2012
- 501 Psychology
Projects
- 2 Finished
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Virtuelles Schlaflabor (VSL): Das virtuelle Schlaflabor: Digitale Schlafanalyse & Schlaf-Coaching X
Schabus, M. (Principal Investigator), Bathke, A. (Co-Investigator), Borgelt, C. (Co-Investigator), Heib, D. P. J. (Co-Investigator) & Stöggl, T. (Co-Investigator)
1/10/20 → 31/08/22
Project: Research
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Doktoratskolleg Imaging the Mind: Connectivity and Higher Cognitive Function
Schabus, M. (Principal Investigator), Wilhelm, F. (Co-Investigator), Blechert, J. (Co-Investigator), Hödlmoser, K. (Co-Investigator), Hutzler, F. (Co-Investigator), Jonas, E. (Co-Investigator), Perner, J. (Co-Investigator), Weisz, N. (Co-Investigator), Pletzer, B. A. (Co-Investigator) & Kronbichler, M. (Co-Investigator)
1/03/19 → 31/08/24
Project: Research