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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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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
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e-ISSN
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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