Literature DB >> 23149903

Respiratory flow-sound relationship during both wakefulness and sleep and its variation in relation to sleep apnea.

Azadeh Yadollahi1, Aman Montazeri, Ali Azarbarzin, Zahra Moussavi.   

Abstract

Tracheal respiratory sound analysis is a simple and non-invasive way to study the pathophysiology of the upper airway and has recently been used for acoustic estimation of respiratory flow and sleep apnea diagnosis. However in none of the previous studies was the respiratory flow-sound relationship studied in people with obstructive sleep apnea (OSA), nor during sleep. In this study, we recorded tracheal sound, respiratory flow, and head position from eight non-OSA and 10 OSA individuals during sleep and wakefulness. We compared the flow-sound relationship and variations in model parameters from wakefulness to sleep within and between the two groups. The results show that during both wakefulness and sleep, flow-sound relationship follows a power law but with different parameters. Furthermore, the variations in model parameters may be representative of the OSA pathology. The other objective of this study was to examine the accuracy of respiratory flow estimation algorithms during sleep: we investigated two approaches for calibrating the model parameters using the known data recorded during either wakefulness or sleep. The results show that the acoustical respiratory flow estimation parameters change from wakefulness to sleep. Therefore, if the model is calibrated using wakefulness data, although the estimated respiratory flow follows the relative variations of the real flow, the quantitative flow estimation error would be high during sleep. On the other hand, when the calibration parameters are extracted from tracheal sound and respiratory flow recordings during sleep, the respiratory flow estimation error is less than 10%.

Entities:  

Mesh:

Year:  2012        PMID: 23149903     DOI: 10.1007/s10439-012-0692-3

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  6 in total

1.  Determining airflow obstruction from tracheal sound analysis: simulated tests and evaluations in patients with acromegaly.

Authors:  Newton A Lima Junior; Nayara V Oliveira; Ana B W Tavares; Agnaldo J Lopes; Pedro L Melo
Journal:  Med Biol Eng Comput       Date:  2022-05-10       Impact factor: 2.602

2.  Sleep/Wakefulness Detection Using Tracheal Sounds and Movements.

Authors:  Babak Taati; Azadeh Yadollahi; Nasim Montazeri Ghahjaverestan; Sina Akbarian; Maziar Hafezi; Shumit Saha; Kaiyin Zhu; Bojan Gavrilovic
Journal:  Nat Sci Sleep       Date:  2020-11-17

3.  Compliance Measurements of the Upper Airway in Pediatric Down Syndrome Sleep Apnea Patients.

Authors:  Dhananjay Radhakrishnan Subramaniam; Goutham Mylavarapu; Keith McConnell; Robert J Fleck; Sally R Shott; Raouf S Amin; Ephraim J Gutmark
Journal:  Ann Biomed Eng       Date:  2015-07-28       Impact factor: 3.934

4.  Detecting unilateral phrenic paralysis by acoustic respiratory analysis.

Authors:  José Antonio Fiz; Raimon Jané; Manuel Lozano; Rosa Gómez; Juan Ruiz
Journal:  PLoS One       Date:  2014-04-09       Impact factor: 3.240

5.  Respiratory Motion and Airflow Estimation During Sleep Using Tracheal Movement and Sound.

Authors:  Nasim Montazeri Ghahjaverestan; Wei Fan; Cristiano Aguiar; Jackson Yu; T Douglas Bradley
Journal:  Nat Sci Sleep       Date:  2022-07-01

6.  Estimation of inhalation flow profile using audio-based methods to assess inhaler medication adherence.

Authors:  Terence E Taylor; Helena Lacalle Muls; Richard W Costello; Richard B Reilly
Journal:  PLoS One       Date:  2018-01-18       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.