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DETECTION OF SLEEP APNEA/HYPOPNEA EVENTS USING SYNCHROSQUEEZED WAVELET TRANSFORM

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F19%3A43917904" target="_blank" >RIV/60461373:22340/19:43917904 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/8682893" target="_blank" >https://ieeexplore.ieee.org/document/8682893</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICASSP.2019.8682893" target="_blank" >10.1109/ICASSP.2019.8682893</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    DETECTION OF SLEEP APNEA/HYPOPNEA EVENTS USING SYNCHROSQUEEZED WAVELET TRANSFORM

  • Original language description

    In this article, detection of sleep apnea or hypopnea events is addressed using a single channel electrocardiography (ECG) signal by analysis of respiratory extracted modulation. First, R peaks are detected from ECG signal. Then, a time-series with the amplitude (height) and timing of R peaks representing respiratory-induced amplitude modulation is constructed. This signal is resampled evenly at 4Hz. Synchrosqueezed wavelet transform (SSWT) together with an iterative time-frequency ridge estimation is applied to provide a robust estimation of instantaneous respiratory frequency and detect the regions with/without sleep apnea/hypopnea events. Signal reconstruction using inverse synchrosqueezed wavelet transform (ISSWT) has been performed. The appeared peaks can identify and measure the duration of apnea/hypopnea events.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, Proceedings

  • ISBN

    978-1-4799-8131-1

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    1199-1203

  • Publisher name

    IEEE Institute of Electrical and Electronics Engineers

  • Place of publication

    Piscataway, New Jersey

  • Event location

    Brighton

  • Event date

    May 15, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000482554001086