Sleep apnea monitoring and diagnosis based on pulse oximetry and tracheal sound signals.
Sleep apnea is a common respiratory disorder during sleep, which is described as a cessation of airflow to the lungs that lasts at least for 10 s and is associated with at least 4% drop in blood's oxygen saturation level (S(a)O(2)). The current gold standard method for sleep apnea assessment is full...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 48; no. 11; pp. 1087 - 1098 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Nov2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104929709&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104929709 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Nov2010 vid: 48 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104929709 104929709 NLM20734154 2010827466 10.1007/s11517-010-0674-2 NLM20734154 104929709 ppf: 1087 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Sleep apnea monitoring and diagnosis based on pulse oximetry and tracheal sound signals. aug: au: Yadollahi A Giannouli E Moussavi Z Yadollahi, Azadeh Giannouli, Eleni Moussavi, Zahra affil: Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada sug: subj: Sleep Apnea, Obstructive Diagnosis Snoring Diagnosis Trachea Physiology Adult Aged Body Mass Index Female Human Male Middle Age Oximetry Methods Oxygen Blood Polysomnography Methods Respiration Respiratory Sounds Diagnosis Respiratory Sounds Physiopathology Sensitivity and Specificity Sleep Apnea, Obstructive Blood Sleep Apnea, Obstructive Physiopathology Snoring Blood Snoring Physiopathology Young Adult Adult: 19-44 years Aged: 65+ years Middle Aged: 45-64 years Female Male ab: Sleep apnea is a common respiratory disorder during sleep, which is described as a cessation of airflow to the lungs that lasts at least for 10 s and is associated with at least 4% drop in blood's oxygen saturation level (S(a)O(2)). The current gold standard method for sleep apnea assessment is full-night polysomnography (PSG). However, its high cost, inconvenience for patients, and immobility have persuaded researchers to seek simple and portable devices to detect sleep apnea. In this article, we report on developing a new method for sleep apnea detection and monitoring, which only requires two data channels: tracheal breathing sounds and the pulse oximetry (S(a)O(2) signal). It includes an automated method that uses the energy of breathing sounds signals to segment the signals into sound and silent segments. Then, the sound segments are classified into breath, snore, and noise segments. The S(a)O(2) signal is analyzed automatically to find its rises and drops. Finally, a weighted average of different features extracted from breath segments, snore segments and S(a)O(2) signal are used to detect apnea and hypopnea events. The performance of the proposed approach was evaluated on the data of 66 patients recorded simultaneously with their full-night PSG study, and the results were compared with those of the PSG. The results show high correlation (0.96, P < 0.0001) between the outcomes of our system and those of the PSG. Also, the proposed method has been found to have sensitivity and specificity values of more than 91% in differentiating simple snorers from obstructive sleep apnea patients. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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