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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Immanuel, S. Kohler, M. Pamula, Y. Kabir, M.M. Saint, D.A. Baumert, M. |
| Copyright Year | 2012 |
| Description | Author affiliation: Sch. of Psychol., Social Work & Social Policy, Univ. of South Australia, Mawson Lakes, SA, Australia (Kohler, M.) || Dept. of Respiratory & Sleep Med., Women's & Children's Hosp., Adelaide, SA, Australia (Pamula, Y.) || Univ. of Adelaide, Adelaide, SA, Australia (Immanuel, S.; Kabir, M.M.; Saint, D.A.; Baumert, M.) |
| Abstract | We present a technique based on the Hilbert transform to quantify the thoraco-abdominal asynchrony (TAA) based on the phase shift between ribcage (RC) and abdomenal (AB) breathing signals acquired using respiratory inductive plethysmography (RIP). We employed this method to investigate RIP during overnight polysomnography (PSG) in 40 healthy children for analysis of their breathing patterns in various stages of sleep (ss 2, 3, 4 and REM) and in two common sleeping positions (supine and lateral). RIP signals free of respiratory or movement artifacts were segmented into 30 second epochs. Those epochs with maximum power in the quiet breathing frequency range and positional invariance throughout were included for further processing. TAA was calculated from corresponding RC and AB excursions. We found a statistically significant influence of sleep position on the level of TAA in all stages of non-REM sleep. In conclusion, the Hilbert transform provides a simple tool for the quantification of thoraco-abdominal asynchrony. |
| Sponsorship | IEEE Eng. Medicine Biol. Soc. |
| Starting Page | 3448 |
| Ending Page | 3451 |
| File Size | 380931 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424441198 |
| ISSN | 1557170X |
| e-ISBN | 9781457717871 |
| DOI | 10.1109/EMBC.2012.6346707 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-08-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sleep apnea Pediatrics Transforms Signal to noise ratio Band pass filters IIR filters |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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