Time-frequency analysis of heart rate variability for sleep and wake classification

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

17 Citaten (Scopus)
100 Downloads (Pure)

Samenvatting

This paper describes a method to adapt the spectral features extracted from heart rate variability (HRV) for sleep and wake classification. HRV series can be derived from electrocardiogram (ECG) signals obtained from single-night polysomnography (PSG) recordings. Traditionally, the HRV spectral features are extracted from the spectrum of an HRV series with fixed boundaries specifying bands of very low frequency (VLF), low frequency (LF), and high frequency (HF). However, because they are fixed, they may fail to accurately reflect certain aspects of autonomic nervous activity, which in turn may limit their discriminative power when using HRV spectral features, e.g., in sleep and wake classification. This is in part related to the fact that the sympathetic tone (partially reflected in the LF band) and the respiratory activity (modulated in the HF band) will vary over time. In order to minimize the impact of these differences, we adapt the HRV spectral boundaries using time-frequency analysis. Experiments conducted on a dataset acquired from 15 healthy subjects show that the discriminative power of the adapted HRV spectral features are significantly increased when classifying sleep and wake. Additionally, this method also provides a significant improvement of the overall classification performance when used in combination with some other (non-spectral) HRV features.
Originele taal-2Engels
TitelProceedings of IEEE 12th International Conference on BioInformatics and BioEngineering (BIBE2012), 11-13 November 2012, Larnaca, Cyprus
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's85-90
ISBN van geprinte versie978-1-4673-4358-9
DOI's
StatusGepubliceerd - 2012

    Vingerafdruk

Citeer dit

Long, X., Fonseca, P., Haakma, R., Aarts, R. M., & Foussier, J. (2012). Time-frequency analysis of heart rate variability for sleep and wake classification. In Proceedings of IEEE 12th International Conference on BioInformatics and BioEngineering (BIBE2012), 11-13 November 2012, Larnaca, Cyprus (blz. 85-90). Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/BIBE.2012.6399712