Automatic detection of sleep macrostructure based on bed sensors

M.O. Mendez, M. Matteucci, A.M. Cerutti, A. Bianchi, Juha M. Kortelainen

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    17 Citations (Scopus)

    Abstract

    This study analyses the spectral components of the heart rate fluctuations of a new contact-less technology for sleep evaluation. Both heart beat interval (HBI) and movement activity were extracted from the multichannel ballistocardiographic (BCG) measurements, based on Emfit sensor foils placed into bed mattress. Powers spectral densities (PSD) of HBI have been compared with the ones obtained from the standard ECG during sleep stage 2. In addition, spectral features obtained from the contact-less technology and standard ECG has been used to automatically classify the sleep macrostructure through a time-varying autoregressive model and a Hidden Markov Model. Whole night recordings from six subjects were analyzed in this study. Spectral components did not show significant differences between the two measurements. Further, contactless technology achieved a total accuracy of 83 % and kappa index of 0.42, while standard ECG achieved an accuracy of 84 % and kappa index of 0.43 when compared to clinical sleep staging from polysomnography.
    Original languageEnglish
    Title of host publication31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2009
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages5555-5558
    Publication statusPublished - 2009
    MoE publication typeA4 Article in a conference publication
    Event31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC '09 - Minneapolis, United States
    Duration: 2 Sep 20096 Sep 2009

    Conference

    Conference31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC '09
    Abbreviated titleEMBC '09
    Country/TerritoryUnited States
    CityMinneapolis
    Period2/09/096/09/09

    Keywords

    • automatic sleep scoring
    • bed sensor
    • emfit
    • heart rate variability (HRV)

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