Apnea and heart rate detection from tracheal body sounds for the diagnosis of sleep-related breathing disorders.
Sleep apnea is one of the most common sleep disorders. Here, patients suffer from multiple breathing pauses longer than 10 s during the night which are referred to as apneas. The standard method for the diagnosis of sleep apnea is the attended cardiorespiratory polysomnography (PSG). However, this m...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 56; no. 4; pp. 671 - 682 |
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| Autores principales: | , , , , , |
| Formato: | algorithm equations & formulas pictorial research tables/charts tracings Journal Article |
| Publicado: |
Springer Nature
Apr2018
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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=128549163&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 128549163 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Apr2018 vid: 56 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 128549163 128549163 NLM28849304 128549163 10.1007/s11517-017-1706-y NLM28849304 128549163 ppf: 671 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Apnea and heart rate detection from tracheal body sounds for the diagnosis of sleep-related breathing disorders. aug: au: Kalkbrenner, Christoph Eichenlaub, Manuel Rüdiger, Stefan Kropf-Sanchen, Cornelia Rottbauer, Wolfgang Brucher, Rainer affil: Faculty of Medical Engineering, University of Applied Science Ulm, Albert-Einstein-Allee 55, 89075, Ulm, Germany sug: subj: Polysomnography Methods Heart Rate Physiology Respiratory Sounds Classification Signal Processing, Computer Assisted Sleep Apnea Syndromes Diagnosis Aged Adult Middle Age Aged, 80 and Over Male Trachea Physiology Equipment Design Monitoring, Physiologic Electrocardiography Female Sensitivity and Specificity Ferrans and Powers Quality of Life Index Impact of Events Scale Funding Source Human Aged: 65+ years Adult: 19-44 years Middle Aged: 45-64 years Aged, 80 & over Male Female ab: Sleep apnea is one of the most common sleep disorders. Here, patients suffer from multiple breathing pauses longer than 10 s during the night which are referred to as apneas. The standard method for the diagnosis of sleep apnea is the attended cardiorespiratory polysomnography (PSG). However, this method is expensive and the extensive recording equipment can have a significant impact on sleep quality falsifying the results. To overcome these problems, a comfortable and novel system for sleep monitoring based on the recording of tracheal sounds and movement data is developed. For apnea detection, a unique signal processing method utilizing both signals is introduced. Additionally, an algorithm for extracting the heart rate from body sounds is developed. For validation, ten subjects underwent a full-night PSG testing, using the developed sleep monitor in concurrence. Considering polysomnography as gold standard the developed instrumentation reached a sensitivity of 92.8% and a specificity of 99.7% for apnea detection. Heart rate measured with the proposed method was strongly correlated with heart rate derived from conventional ECG (r 2 = 0.8164). No significant signal losses are reported during the study. In conclusion, we demonstrate a novel approach to reliably and noninvasively detect both apneas and heart rate during sleep. pubtype: Academic Journal doctype: algorithm equations & formulas pictorial research tables/charts tracings Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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