Literature DB >> 30736876

Comparison of Apnea Detection Using Oronasal Thermal Airflow Sensor, Nasal Pressure Transducer, Respiratory Inductance Plethysmography and Tracheal Sound Sensor.

AbdelKebir Sabil1, Martin Glos2, Alexandra Günther2, Christoph Schöbel2, Christian Veauthier2, Ingo Fietze2, Thomas Penzel2,3.   

Abstract

STUDY
OBJECTIVES: Evaluation of apnea detection using a tracheal sound (TS) sensor during sleep in patients with obstructive sleep apnea.
METHODS: Polysomnographic recordings of 32 patients (25 male, mean age 66.7 ± 15.3 years, and mean body mass index 30.1 ± 4.5 kg/m2) were analyzed to compare the detection of apneas by four different methods of airflow signals: oronasal thermal airflow sensor (thermistor), nasal pressure transducer (NP), respiratory inductance plethysmography (RIPsum) and TS. The four used signals were scored randomly and independently from each other according to American Academy of Sleep Medicine rules. Results of apnea detection using NP, RIPsum and TS signals were compared to those obtained by thermistor as a reference signal.
RESULTS: The number of apneas detected by the thermistor was 4,167. The number of apneas detected using the NP was 5,416 (+29.97%), using the RIPsum was 2,959 (-29.71%) and using the TS was 5,019 (+20.45%). The kappa statistics (95% confidence interval) were 0.72 (0.71 to 0.74) for TS, 0.69 (0.67 to 0.70) for NP, and 0.57 (0.55 to 0.59) for RIPsum. The sensitivity/specificity (%) with respect to the thermistor were 99.23/69.27, 64.07/93.06 and 96.06/76.07 for the NP, RIPsum and TS respectively.
CONCLUSIONS: With the sensor placed properly on the suprasternal notch, tracheal sounds could help detecting apneas that are underscored by the RIPsum and identify apneas that may be overscored by the NP sensor due to mouth breathing. In the absence of thermistor, TS sensors can be used for apnea detection. CLINICAL TRIAL REGISTRATION: Registry: German Clinical Trials Register (DRKS), Title: Using the tracheal sound probe of the polygraph CID102 to detect and differentiate obstructive, central, and mixed sleep apneas in patients with sleep disordered breathing, Identifier: DRKS00012795, URL: https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00012795.
© 2019 American Academy of Sleep Medicine.

Entities:  

Keywords:  flow measurement; home sleep apnea test; obstructive sleep apnea; polysomnography; sleep-disordered breathing; tracheal sound

Mesh:

Year:  2019        PMID: 30736876      PMCID: PMC6374099          DOI: 10.5664/jcsm.7634

Source DB:  PubMed          Journal:  J Clin Sleep Med        ISSN: 1550-9389            Impact factor:   4.062


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8.  Validation of a Suprasternal Pressure Sensor for Sleep Apnea Classification in Children.

Authors:  Alessandro Amaddeo; Marta Fernandez-Bolanos; Jorge Olmo Arroyo; Sonia Khirani; Guillaume Baffet; Brigitte Fauroux
Journal:  J Clin Sleep Med       Date:  2016-12-15       Impact factor: 4.062

Review 9.  The use of tracheal sounds for the diagnosis of sleep apnoea.

Authors:  Thomas Penzel; AbdelKebir Sabil
Journal:  Breathe (Sheff)       Date:  2017-06

Review 10.  German S3 Guideline Nonrestorative Sleep/Sleep Disorders, chapter "Sleep-Related Breathing Disorders in Adults," short version: German Sleep Society (Deutsche Gesellschaft für Schlafforschung und Schlafmedizin, DGSM).

Authors:  Geert Mayer; Michael Arzt; Bert Braumann; Joachim H Ficker; Ingo Fietze; Helmut Frohnhofen; Wolfgang Galetke; Joachim T Maurer; Maritta Orth; Thomas Penzel; Hans Pistner; Winfried Randerath; Martin Rösslein; Helmut Sitter; Boris A Stuck
Journal:  Somnologie (Berl)       Date:  2017-11-07
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  11 in total

1.  Tracheal sounds for the scoring of sleep respiratory events in children.

Authors:  Alessandro Amaddeo; Abdelkebir Sabil; Jorge Olmo Arroyo; Livio De Sanctis; Lucie Griffon; Guillaume Baffet; Sonia Khirani; Brigitte Fauroux
Journal:  J Clin Sleep Med       Date:  2020-01-14       Impact factor: 4.062

2.  Tracheal Sound Analysis.

Authors:  AbdelKebir Sabil; Sandrine Launois
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

3.  Diagnosis of sleep apnea without sensors on the patient's face.

Authors:  AbdelKebir Sabil; Caroline Marien; Marc LeVaillant; Guillaume Baffet; Nicole Meslier; Frédéric Gagnadoux
Journal:  J Clin Sleep Med       Date:  2020-07-15       Impact factor: 4.062

4.  Adaptive Filtering Improved Apnea Detection Performance Using Tracheal Sounds in Noisy Environment: A Simulation Study.

Authors:  Yanan Wu; Jing Liu; Baolin He; Xiaotong Zhang; Lu Yu
Journal:  Biomed Res Int       Date:  2020-05-21       Impact factor: 3.411

Review 5.  The Importance of Respiratory Rate Monitoring: From Healthcare to Sport and Exercise.

Authors:  Andrea Nicolò; Carlo Massaroni; Emiliano Schena; Massimo Sacchetti
Journal:  Sensors (Basel)       Date:  2020-11-09       Impact factor: 3.576

6.  Evaluation of respiratory rate monitoring performance using a home oxygen monitoring device among patients with interstitial lung disease and chronic obstructive pulmonary disease.

Authors:  Satoshi Hamada; Tomohiro Handa; Naoya Tanabe; Susumu Sato; Kiminobu Tanizawa; Atsuyasu Sato; Satoshi Morita; Kazuo Chin; Toyohiro Hirai
Journal:  Sarcoidosis Vasc Diffuse Lung Dis       Date:  2022-03-31       Impact factor: 0.670

7.  Deep Recurrent Neural Networks for Automatic Detection of Sleep Apnea from Single Channel Respiration Signals.

Authors:  Hisham ElMoaqet; Mohammad Eid; Martin Glos; Mutaz Ryalat; Thomas Penzel
Journal:  Sensors (Basel)       Date:  2020-09-04       Impact factor: 3.576

Review 8.  Alternative algorithms and devices in sleep apnoea diagnosis: what we know and what we expect.

Authors:  Thomas Penzel; Ingo Fietze; Martin Glos
Journal:  Curr Opin Pulm Med       Date:  2020-11       Impact factor: 2.868

9.  The design of RIP belts impacts the reliability and quality of the measured respiratory signals.

Authors:  Kristofer Montazeri; Sigurdur Aegir Jonsson; Jon Skirnir Agustsson; Marta Serwatko; Thorarinn Gislason; Erna S Arnardottir
Journal:  Sleep Breath       Date:  2021-01-07       Impact factor: 2.816

10.  Comparison of Drug-Induced Sleep Endoscopy and Natural Sleep Endoscopy in the Assessment of Upper Airway Pathophysiology During Sleep: Protocol and Study Design.

Authors:  Karlien Van den Bossche; Eli Van de Perck; Andrew Wellman; Elahe Kazemeini; Marc Willemen; Johan Verbraecken; Olivier M Vanderveken; Daniel Vena; Sara Op de Beeck
Journal:  Front Neurol       Date:  2021-12-07       Impact factor: 4.003

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