Research on portable airway impedance monitoring device based on expiratory oscillation_Journal of Biomedical Engineering

Authors：

KUANG Yingfeng ^1,2 , CHE Bo ² , LI Xuan ² , LIU Lei ^2,3 ,  DENG Linhong ^2,3

1. School of Microelectronics and Control Engineering, Changzhou University, Changzhou, Jiangsu 213164, P. R. China;
2. Institute of Biomedical Engineering and Health Sciences, Changzhou University, Changzhou, Jiangsu 213164, P. R. China;
3. School of Medical and Health Engineering, Changzhou University, Changzhou, Jiangsu 213164, P. R. China;

Corresponding author：

DENG Linhong, Email: dlh@cczu.edu.cn

Keywords：

Dynamic pulmonary function; Respiratory impedance; Oscillator; Positive expiratory pressure; Visualization feedback

DOI：

10.7507/1001-5515.202309058

Video：

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Abstract Full text Figures/Tables Video References Cited by

Monitoring airway impedance has significant clinical value in accurately assessing and diagnosing pulmonary function diseases at an early stage. To address the issue of large oscillator size and high power consumption in current pulmonary function devices, this study adopts a new strategy of expiration-driven oscillation. A lightweight and low-power airway impedance monitoring system with integrated sensing, control circuitry, and dynamic feedback system, providing visual feedback on the system’s status, was developed. The respiratory impedance measurement experiments and statistical comparisons indicated that the system could achieve stable measurement of airway impedance at 5 Hz. The frequency spectrum curves of respiratory impedance (R and X) showed consistent trends with those obtained from the clinical pulmonary function instrument, specifically the impulse oscillometry system (IOS). The differences between them were all less than 1.1 cm H₂O·s/L. Additionally, there was a significant statistical difference in the respiratory impedance R5 between the exercise and rest groups, which suggests that the system can measure the variability of airway resistance parameters during exercise. Therefore, the impedance monitoring system developed in this study supports subjects in performing handheld, continuous measurements of dynamic changes in airway impedance over an extended period of time. This research provides a foundation for further developing low-power, portable, and even wearable devices for dynamic monitoring of pulmonary function.

Citation： KUANG Yingfeng, CHE Bo, LI Xuan, LIU Lei, DENG Linhong. Research on portable airway impedance monitoring device based on expiratory oscillation. Journal of Biomedical Engineering, 2024, 41(3): 430-438. doi: 10.7507/1001-5515.202309058 Copy

1.	Milavetz G. Global surveillance, prevention and control of chronic respiratory diseases: a comprehensive approach. J Pharm Technol, 2008, 24(2): 122-122.
2.	Taleghani N, Taghipour F. Diagnosis of covid-19 for controlling the pandemic: a review of the state-of-the-art. Biosen Bioelectr, 2021, 174: 112830.
3.	Laguarta J, Huet F, Subirana B. COVID-19 artificial intelligence diagnosis using only cough recordings. IEEE Open J Eng Med Biol, 2020, 1(1): 275-281.
4.	Busschots C, Keymolen A, Verbanck S, et al. Adaptive excitation signals for low-frequency forced oscillation technique measurements in patients. IEEE Trans Instrum Meas, 2021, 70: 1-9.
5.	Solomon J J, Heyman B, Ko J P, et al. CT of post-acute lung complications of COVID-19. Radiology, 2021, 301(2): E383-E395.
6.	Eddy R L, Westcott A, Maksym G N. Oscillometry and pulmonary magnetic resonance imaging in asthma and COPD. Physiol Rep, 2019, 7(1): e13955.
7.	Cox E G M, Koster G, Baron A, et al. Should the ultrasound probe replace your stethoscope? A SICS-I sub-study comparing lung ultrasound and pulmonary auscultation in the critically ill. Crit Care, 2020, 24(1): 14.
8.	Hoesterey D, Das N, Janssens W, et al. Spirometric indices of early airflow impairment in individuals at risk of developing COPD: Spirometry beyond FEV1/FVC. Respir Med, 2019, 156: 58-68.
9.	梁晓林, 高怡, 郑劲平. 2020年欧洲呼吸协会《呼吸振荡检查技术指南》解读. 中国循证医学杂, 2022, 22(1): 19-25.
10.	Foy B H, Natarajan S, Munawar A, et al. Characterising the role of small airways in severe asthma using low frequency forced oscillations: A combined computational and clinical approach. Respir Med, 2020, 170(1): 106022.
11.	Kreetapirom P, Kiewngam P, Jotikasthira W, et al. Forced oscillation technique as a predictor for loss of control in asthmatic children. Asia Pac Allergy, 2020, 10(1): e3.
12.	Soares M, Richardson M, Thorpe J. Comparison of forced and impulse oscillometry measurements: A clinical population and printed airway model study. Sci Rep, 2019, 9(1): 2130.
13.	Brashier B, Salvi S. Measuring lung function using sound waves: role of the forced oscillation technique and impulse oscillometry system. Breathe, 2015, 11(1): 57.
14.	Ionescu C M. The human respiratory system. London: Springer London, 2013.
15.	周垂柳, 王武, 谢联昇, 等. 一种便携式强迫振荡呼吸阻抗测试仪的设计与实现. 生物医学工程学杂志, 2016, 33(5): 951-957.
16.	张楠, 刘晓莉, 周娟, 等. 基于强迫振荡技术的肺功能测量系统研究. 生物医学工程学杂志, 2016, 33(6): 1110-1115.
17.	Cao Jian, Sabharwal A. Portable forced oscillation device for point-of-care pulmonary function testing// 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Orlando: IEEE, 2016: 2282-2286.
18.	Chang Wei, Deng Linhong. Development of a small portable device for measuring respiratory system resistance based on forced oscillation technique. J Adv Biomed Eng Technol, 2016, 3(1): 14-20.
19.	Ionescu C M. From viscoelastic models to lung function devices// 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Budapest: IEEE, 2016: 002533-002540.
20.	Ionescu C M, Copot D. Monitoring respiratory impedance by wearable sensor device: Protocol and methodology. Biomed Signal Process Control, 2017, 36(3): 57-62.
21.	Olarte O, De Keyser R, Ionescu C M. Fan-based device for non-invasive measurement of respiratory impedance: Identification, calibration and analysis. Biomed Signal Process Control, 2016, 30(1): 127-133.
22.	Eloot B. Development of a device for measuring lung impedance using forced oscillation technique. Ghent: Ghent University, 2014.
23.	Copot D, De Keyser R, Derom E, et al. Reducing bias in fractional order impedance estimation for lung function evaluation. Biomed Signal Process Control, 2018, 39(1): 74-80.
24.	Ghita M, Copot D, Ghita M, et al. Low frequency forced oscillation lung function test can distinguish dynamic tissue non-linearity in COPD patients. Front Physiol, 2019, 10(1): 1390.
25.	Roy G S, Daphtary N, Johnson O, et al. Measuring the mechanical input impedance of the respiratory system with breath-driven flow oscillations. J Appl Physiol, 2021, 130(4): 1064-1071.
26.	Demchuk A M, Chatburn R L. Performance characteristics of positive expiratory pressure devices. Respir Care, 2021, 66(3): 482-493.
27.	King G G, Bates J, Berger K I, et al. Technical standards for respiratory oscillometry. Eur Respir J, 2020, 55(2): 1900753.
28.	张政波, 倪路, 刘晓莉, 等. 振荡肺功原理及技术实现. 中国医疗器械杂志, 2015, 39(6): 432-436.

1. Milavetz G. Global surveillance, prevention and control of chronic respiratory diseases: a comprehensive approach. J Pharm Technol, 2008, 24(2): 122-122.
2. Taleghani N, Taghipour F. Diagnosis of covid-19 for controlling the pandemic: a review of the state-of-the-art. Biosen Bioelectr, 2021, 174: 112830.
3. Laguarta J, Huet F, Subirana B. COVID-19 artificial intelligence diagnosis using only cough recordings. IEEE Open J Eng Med Biol, 2020, 1(1): 275-281.
4. Busschots C, Keymolen A, Verbanck S, et al. Adaptive excitation signals for low-frequency forced oscillation technique measurements in patients. IEEE Trans Instrum Meas, 2021, 70: 1-9.
5. Solomon J J, Heyman B, Ko J P, et al. CT of post-acute lung complications of COVID-19. Radiology, 2021, 301(2): E383-E395.
6. Eddy R L, Westcott A, Maksym G N. Oscillometry and pulmonary magnetic resonance imaging in asthma and COPD. Physiol Rep, 2019, 7(1): e13955.
7. Cox E G M, Koster G, Baron A, et al. Should the ultrasound probe replace your stethoscope? A SICS-I sub-study comparing lung ultrasound and pulmonary auscultation in the critically ill. Crit Care, 2020, 24(1): 14.
8. Hoesterey D, Das N, Janssens W, et al. Spirometric indices of early airflow impairment in individuals at risk of developing COPD: Spirometry beyond FEV1/FVC. Respir Med, 2019, 156: 58-68.
9. 梁晓林, 高怡, 郑劲平. 2020年欧洲呼吸协会《呼吸振荡检查技术指南》解读. 中国循证医学杂, 2022, 22(1): 19-25.
10. Foy B H, Natarajan S, Munawar A, et al. Characterising the role of small airways in severe asthma using low frequency forced oscillations: A combined computational and clinical approach. Respir Med, 2020, 170(1): 106022.
11. Kreetapirom P, Kiewngam P, Jotikasthira W, et al. Forced oscillation technique as a predictor for loss of control in asthmatic children. Asia Pac Allergy, 2020, 10(1): e3.
12. Soares M, Richardson M, Thorpe J. Comparison of forced and impulse oscillometry measurements: A clinical population and printed airway model study. Sci Rep, 2019, 9(1): 2130.
13. Brashier B, Salvi S. Measuring lung function using sound waves: role of the forced oscillation technique and impulse oscillometry system. Breathe, 2015, 11(1): 57.
14. Ionescu C M. The human respiratory system. London: Springer London, 2013.
15. 周垂柳, 王武, 谢联昇, 等. 一种便携式强迫振荡呼吸阻抗测试仪的设计与实现. 生物医学工程学杂志, 2016, 33(5): 951-957.
16. 张楠, 刘晓莉, 周娟, 等. 基于强迫振荡技术的肺功能测量系统研究. 生物医学工程学杂志, 2016, 33(6): 1110-1115.
17. Cao Jian, Sabharwal A. Portable forced oscillation device for point-of-care pulmonary function testing// 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Orlando: IEEE, 2016: 2282-2286.
18. Chang Wei, Deng Linhong. Development of a small portable device for measuring respiratory system resistance based on forced oscillation technique. J Adv Biomed Eng Technol, 2016, 3(1): 14-20.
19. Ionescu C M. From viscoelastic models to lung function devices// 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Budapest: IEEE, 2016: 002533-002540.
20. Ionescu C M, Copot D. Monitoring respiratory impedance by wearable sensor device: Protocol and methodology. Biomed Signal Process Control, 2017, 36(3): 57-62.
21. Olarte O, De Keyser R, Ionescu C M. Fan-based device for non-invasive measurement of respiratory impedance: Identification, calibration and analysis. Biomed Signal Process Control, 2016, 30(1): 127-133.
22. Eloot B. Development of a device for measuring lung impedance using forced oscillation technique. Ghent: Ghent University, 2014.
23. Copot D, De Keyser R, Derom E, et al. Reducing bias in fractional order impedance estimation for lung function evaluation. Biomed Signal Process Control, 2018, 39(1): 74-80.
24. Ghita M, Copot D, Ghita M, et al. Low frequency forced oscillation lung function test can distinguish dynamic tissue non-linearity in COPD patients. Front Physiol, 2019, 10(1): 1390.
25. Roy G S, Daphtary N, Johnson O, et al. Measuring the mechanical input impedance of the respiratory system with breath-driven flow oscillations. J Appl Physiol, 2021, 130(4): 1064-1071.
26. Demchuk A M, Chatburn R L. Performance characteristics of positive expiratory pressure devices. Respir Care, 2021, 66(3): 482-493.
27. King G G, Bates J, Berger K I, et al. Technical standards for respiratory oscillometry. Eur Respir J, 2020, 55(2): 1900753.
28. 张政波, 倪路, 刘晓莉, 等. 振荡肺功原理及技术实现. 中国医疗器械杂志, 2015, 39(6): 432-436.

Journal of Biomedical Engineering

Research on portable airway impedance monitoring device based on expiratory oscillation

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