Respiratory Monitoring Based on Tracheal Sounds: Continuous Time-Frequency Processing of the Phonospirogram Combined with Phonocardiogram-Derived Respiration
Patients with central respiratory paralysis can benefit from diaphragm pacing to restore respiratory function. However, it would be important to develop a continuous respiratory monitoring method to alert on apnea occurrence, in order to improve the efficiency and safety of the pacing system. In thi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/1/99 |
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| author | Xinyue Lu Christine Azevedo Coste Marie-Cécile Nierat Serge Renaux Thomas Similowski David Guiraud |
| author_facet | Xinyue Lu Christine Azevedo Coste Marie-Cécile Nierat Serge Renaux Thomas Similowski David Guiraud |
| author_sort | Xinyue Lu |
| collection | DOAJ |
| description | Patients with central respiratory paralysis can benefit from diaphragm pacing to restore respiratory function. However, it would be important to develop a continuous respiratory monitoring method to alert on apnea occurrence, in order to improve the efficiency and safety of the pacing system. In this study, we present a preliminary validation of an acoustic apnea detection method on healthy subjects data. Thirteen healthy participants performed one session of two 2-min recordings, including a voluntary respiratory pause. The recordings were post-processed by combining temporal and frequency detection domains, and a new method was proposed—Phonocardiogram-Derived Respiration (PDR). The detection results were compared to synchronized pneumotachograph, electrocardiogram (ECG), and abdominal strap (plethysmograph) signals. The proposed method reached an apnea detection rate of 92.3%, with 99.36% specificity, 85.27% sensitivity, and 91.49% accuracy. PDR method showed a good correlation of 0.77 with ECG-Derived Respiration (EDR). The comparison of R-R intervals and S-S intervals also indicated a good correlation of 0.89. The performance of this respiratory detection algorithm meets the minimal requirements to make it usable in a real situation. Noises from the participant by speaking or from the environment had little influence on the detection result, as well as body position. The high correlation between PDR and EDR indicates the feasibility of monitoring respiration with PDR. |
| first_indexed | 2024-03-10T13:45:47Z |
| format | Article |
| id | doaj.art-b687fb0182fc456d9f9820ec289c507a |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T13:45:47Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-b687fb0182fc456d9f9820ec289c507a2023-11-21T02:37:45ZengMDPI AGSensors1424-82202020-12-012119910.3390/s21010099Respiratory Monitoring Based on Tracheal Sounds: Continuous Time-Frequency Processing of the Phonospirogram Combined with Phonocardiogram-Derived RespirationXinyue Lu0Christine Azevedo Coste1Marie-Cécile Nierat2Serge Renaux3Thomas Similowski4David Guiraud5Faculté des Sciences, University of Montpellier, F-34090 Montpellier, FranceINRIA, F-34090 Montpellier, FranceUMRS1158 Neurophysiologie Respiratoire Expérimentale et Clinique, INSERM, Sorbonne Université, F-75005 Paris, FranceNeuroResp, F-34600 Les Aires, FranceUMRS1158 Neurophysiologie Respiratoire Expérimentale et Clinique, INSERM, Sorbonne Université, F-75005 Paris, FranceINRIA, F-34090 Montpellier, FrancePatients with central respiratory paralysis can benefit from diaphragm pacing to restore respiratory function. However, it would be important to develop a continuous respiratory monitoring method to alert on apnea occurrence, in order to improve the efficiency and safety of the pacing system. In this study, we present a preliminary validation of an acoustic apnea detection method on healthy subjects data. Thirteen healthy participants performed one session of two 2-min recordings, including a voluntary respiratory pause. The recordings were post-processed by combining temporal and frequency detection domains, and a new method was proposed—Phonocardiogram-Derived Respiration (PDR). The detection results were compared to synchronized pneumotachograph, electrocardiogram (ECG), and abdominal strap (plethysmograph) signals. The proposed method reached an apnea detection rate of 92.3%, with 99.36% specificity, 85.27% sensitivity, and 91.49% accuracy. PDR method showed a good correlation of 0.77 with ECG-Derived Respiration (EDR). The comparison of R-R intervals and S-S intervals also indicated a good correlation of 0.89. The performance of this respiratory detection algorithm meets the minimal requirements to make it usable in a real situation. Noises from the participant by speaking or from the environment had little influence on the detection result, as well as body position. The high correlation between PDR and EDR indicates the feasibility of monitoring respiration with PDR.https://www.mdpi.com/1424-8220/21/1/99respiratory monitoringbreathing detectiontracheal soundsPhonocardiogram-Derived Respiration (PDR) |
| spellingShingle | Xinyue Lu Christine Azevedo Coste Marie-Cécile Nierat Serge Renaux Thomas Similowski David Guiraud Respiratory Monitoring Based on Tracheal Sounds: Continuous Time-Frequency Processing of the Phonospirogram Combined with Phonocardiogram-Derived Respiration Sensors respiratory monitoring breathing detection tracheal sounds Phonocardiogram-Derived Respiration (PDR) |
| title | Respiratory Monitoring Based on Tracheal Sounds: Continuous Time-Frequency Processing of the Phonospirogram Combined with Phonocardiogram-Derived Respiration |
| title_full | Respiratory Monitoring Based on Tracheal Sounds: Continuous Time-Frequency Processing of the Phonospirogram Combined with Phonocardiogram-Derived Respiration |
| title_fullStr | Respiratory Monitoring Based on Tracheal Sounds: Continuous Time-Frequency Processing of the Phonospirogram Combined with Phonocardiogram-Derived Respiration |
| title_full_unstemmed | Respiratory Monitoring Based on Tracheal Sounds: Continuous Time-Frequency Processing of the Phonospirogram Combined with Phonocardiogram-Derived Respiration |
| title_short | Respiratory Monitoring Based on Tracheal Sounds: Continuous Time-Frequency Processing of the Phonospirogram Combined with Phonocardiogram-Derived Respiration |
| title_sort | respiratory monitoring based on tracheal sounds continuous time frequency processing of the phonospirogram combined with phonocardiogram derived respiration |
| topic | respiratory monitoring breathing detection tracheal sounds Phonocardiogram-Derived Respiration (PDR) |
| url | https://www.mdpi.com/1424-8220/21/1/99 |
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