Improving sleep/wake detection via boundary adaptation for respiratory spectral features

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In previous work, respiratory spectral features have been successfully used for sleep/wake detection. They are usually extracted from several frequency bands. However, these traditional bands with fixed frequency boundaries might not be the most appropriate to optimize the sleep and wake separation. This is caused by the between-subject variability in physiology, or more specifically, in respiration during sleep. Since the optimal boundaries may relate to mean respiratory frequency over the entire night. Therefore, we propose to adapt these boundaries for each subject in terms of his/her mean respiratory frequency. The adaptive boundaries were considered as those being able to maximize the separation between sleep and wake states by means of their mean power spectral density (PSD) curves overnight. Linear regression models were used to address the association between the adaptive boundaries and mean respiratory frequency based on training data. This was then in turn used to estimate the adaptive boundaries of each test subject. Experiments were conducted on the data from 15 healthy subjects using a linear discriminant classifier with a leave-one-subject-out cross-validation. We reveal that the spectral boundary adaptation can help improve the performance of sleep/wake detection when actigraphy is absent.
Originele taal-2Engels
TitelProceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'15), 25-29 August 2015, Milan, Italy
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's374-377
Aantal pagina's4
ISBN van geprinte versie978-1-4244-9270-1
DOI's
StatusGepubliceerd - 2015
Evenement37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - "MiCo" , Milan, Italië
Duur: 25 aug 201529 aug 2015
Congresnummer: 37
https://www.embs.org/events/37th-annual-international-conference-of-the-ieee-engineering-in-medicine-and-biology-society/
http://embc.embs.org/2015/

Congres

Congres37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
Verkorte titelEMBC2015
LandItalië
StadMilan
Periode25/08/1529/08/15
Ander37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Internet adres

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Citeer dit

Long, X., Haakma, R., Rolink, J., Fonseca, P., & Aarts, R. M. (2015). Improving sleep/wake detection via boundary adaptation for respiratory spectral features. In Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'15), 25-29 August 2015, Milan, Italy (blz. 374-377). [7318377] Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EMBC.2015.7318377