Evaluation of Pressure Bed Sensor for Automatic SAHS Screening

G. Guerrero Mora, Juha M. Kortelainen, E.R. Palacios Hernandez, M. Tenhunen, A.M. Bianchi, M.O. Méndez

    Research output: Contribution to journalArticleScientificpeer-review

    22 Citations (Scopus)

    Abstract

    We evaluate the performance of an unobtrusive sleep monitoring system in the detection of the sleep apnea- hypopnea syndrome (SAHS). The proposed system is a pressure bed sensor (PBS) that incorporates multiple pressure sensors into a bed mattress to measure several physiological signals of the sleeping subject: respiration; heart rate; and body movements. An automatic algorithm is developed to calculate a respiratory event index (REI). The recordings of 24 patients with suspected sleep problems are analyzed, and the results are compared with the gold standard methods; first with manual scoring of polysomnography to calculate the apnea-hypopnea index (AHI), and second with automatic detection of REI from the respiratory inductive plethysmography belts. The correlation coefficient between AHI and REI from PBS is up to 0.93. Evaluating the ability of PBS in the diagnosis of pathologic (AHI = 5) and nonpathologic (AHI
    Original languageEnglish
    Pages (from-to)1935-1943
    JournalIEEE Transactions on Instrumentation and Measurement
    Volume64
    Issue number7
    DOIs
    Publication statusPublished - 2015
    MoE publication typeA1 Journal article-refereed

    Keywords

    • Polysomnography (PSG)
    • pressure bed sensor (PBS)
    • respiration monitoring
    • sleep apnea-hypopnea syndrome (SAHS)
    • sleep monitoring
    • unattended portable monitor
    • unobtrusive measure

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