A Novel Sleep Respiratory Rate Detection Method for Obstructive Sleep Apnea Based on Characteristic Moment Waveform
Joint Authors
Jiang, Zhongwei
Fang, Yu
Wang, Haibin
Source
Journal of Healthcare Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-10
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Obstructive sleep apnea (OSA) affecting human’s health is a kind of major breathing-related sleep disorders and sometimes leads to nocturnal death.
Respiratory rate (RR) of a sleep breathing sound signal is an important human vital sign for OSA monitoring during whole-night sleeping.
A novel sleep respiratory rate detection with high computational speed based on characteristic moment waveform (CMW) method is proposed in this paper.
A portable and wearable sound device is used to acquire the breathing sound signal.
And the amplitude contrast decreasing has been done first.
Then, the CMW is extracted with suitable time scale parameters, and the sleep RR value is calculated by the extreme points of CMW.
Experiments of one OSA case and five healthy cases are tested to validate the efficiency of the proposed sleep RR detection method.
According to manual counting, sleep RR can be detected accurately by the proposed method.
In addition, the apnea sections can be detected by the sleep RR values with a given threshold, and the time duration of the segmentation of the breath can be calculated for detailed evaluation of the state of OSA.
The proposed method is meaningful for continued research on the sleep breathing sound signal.
American Psychological Association (APA)
Fang, Yu& Jiang, Zhongwei& Wang, Haibin. 2018. A Novel Sleep Respiratory Rate Detection Method for Obstructive Sleep Apnea Based on Characteristic Moment Waveform. Journal of Healthcare Engineering،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1186984
Modern Language Association (MLA)
Fang, Yu…[et al.]. A Novel Sleep Respiratory Rate Detection Method for Obstructive Sleep Apnea Based on Characteristic Moment Waveform. Journal of Healthcare Engineering No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1186984
American Medical Association (AMA)
Fang, Yu& Jiang, Zhongwei& Wang, Haibin. A Novel Sleep Respiratory Rate Detection Method for Obstructive Sleep Apnea Based on Characteristic Moment Waveform. Journal of Healthcare Engineering. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1186984
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1186984