Multichannel Bed Pressure Sensor for Sleep Monitoring

Juha Matti Kortelainen (Corresponding author), Mark van Gils, Juha Pärkkä

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

    42 Citations (Scopus)

    Abstract

    A bed sensor with multiple pressure sensitive non-contacting electrodes has been applied for unobtrusive monitoring during sleep. The novelty is in using multichannel algorithms to improve extraction of the heart rate and respiration signal from the recorded ballistocardiographic (BCG) data. Heart rate is extracted by using a sliding Fourier Transform, and after averaging the sensor channels in the frequency domain, the attained resolution enables to detect individual heart beat intervals (HBI) and estimate the heart rate variability (HRV). The respiration signal is calculated from the low pass filtered BCG signals by updating the linear coefficients with an adaptive principal component analysis (PCA) model. In comparison to the reference ECG R-R interval, the relative error of the HBI has been 0.40 % with 88 % measurement coverage for the healthy subjects during normal sleep. The error of the respiratory rate estimated from the bed sensor has been 1.5 % in comparison with the respiratory inductive plethysmogram (RIP). For the group of patients having different kinds of suspected sleep disorders, the measurement coverage varied a lot between subjects due to increased movement artifacts. In this case, some examples of detecting respiratory disorders with bed sensor signals are shown.
    Original languageEnglish
    Title of host publicationProceedings of the 39th Computing in Cardiology, 2012
    Pages313-316
    Publication statusPublished - 2012
    MoE publication typeA4 Article in a conference publication
    Event39th Computing in Cardiology Conference - Krakow, Poland
    Duration: 9 Sep 201212 Sep 2012

    Conference

    Conference39th Computing in Cardiology Conference
    Country/TerritoryPoland
    CityKrakow
    Period9/09/1212/09/12

    Keywords

    • bed sensor
    • heart rate
    • sleep
    • apnoea
    • ballistocardiographic

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