DETECTION OF SLEEP APNEA/HYPOPNEA EVENTS USING SYNCHROSQUEEZED WAVELET TRANSFORM

被引：0

作者：

Jarchi, Delaram ^{[1
]}

Sanei, Saeid ^{[2
]}

Prochazka, Ales ^{[3
]}

机构：

[1] Univ Kent, Sch Comp, Canterbury, Kent, England

[2] Nottingham Trent Univ, Sch Sci & Technol, Nottingham, England

[3] Univ Chem & Technol, Dept Comp & Control Engn, Prague, Czech Republic

来源：

2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2019年

关键词：

synchrosqueezed wavelet transform; sleep; respiratory rate; RESPIRATORY RATE;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

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.

引用

页码：1199 / 1203

页数：5

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