Actigraphy-based sleep/wake detection for insomniacs

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

3 Citaten (Scopus)
175 Downloads (Pure)

Samenvatting

This paper presents an actigraphy-based approach for sleep/wake detection for insomniacs. Due to its relative unobtrusiveness, actigraphy is often used to estimate overnight sleep-wake patterns in clinical practice. However, its performance has been shown to be limited in subjects with sleep complaints such as insomniacs. Quantifying activity counts on 30-s epoch basis, as usually done in regular actigraphy, may lead to an underestimation of wake periods where the subject shows reduced body movements. We therefore propose a new actigraphic feature to characterize the ‘possibility’ of epochs being asleep (or awake) before or after its nearest epoch with a very high activity levels. It is expected to correctly identify some wake epochs when they are very close to the high activity epochs, although they can be motionless. A data set containing 25 insomnia subjects and a linear discriminant classifier were used to test our approach in this study. Leave-one-subject-out cross validation results show that combining the new and the traditional actigraphic features led to a markedly improved performance in sleep/wake detection compared to that using the traditional feature only, with an increase in Cohen’s kappa from 0.49 to 0.55.
Originele taal-2Engels
Titel14th International Conference on Wearable and Implantable Body Sensor Networks (BSN'17), 9-12 May 2017, Eindhoven, The Netherlands
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's1-4
Aantal pagina's4
ISBN van elektronische versie978-1-5090-6244-7
ISBN van geprinte versie978-1-5090-6245-4
DOI's
StatusGepubliceerd - 1 jun 2017

    Vingerafdruk

Citeer dit

Long, X., Fonseca, P., Haakma, R., & Aarts, R. M. (2017). Actigraphy-based sleep/wake detection for insomniacs. In 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN'17), 9-12 May 2017, Eindhoven, The Netherlands (blz. 1-4). [7935711] Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/BSN.2017.7935711