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...

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Publicado en:Medical & Biological Engineering & Computing Vol. 56; no. 4; pp. 671 - 682
Autores principales: Kalkbrenner, Christoph, Eichenlaub, Manuel, Rüdiger, Stefan, Kropf-Sanchen, Cornelia, Rottbauer, Wolfgang, Brucher, Rainer
Formato: algorithm equations & formulas pictorial research tables/charts tracings Journal Article
Publicado: Springer Nature Apr2018
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
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        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
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