REFERENCES
1. World Health Organization. Chronic respiratory diseases. Avialable from: https://www.who.int/health-topics/chronic-respiratory-diseases. [Last accessed on 22 May 2024].
2. Nepomuceno AC, Alberto N, André P, da Costa Antunes PF, de Fátima Domingues M. 3D printed spirometer for pulmonary health assessment based on fiber bragg gratings. IEEE Sens J 2021;21:4590-8.
3. Zhou B, Baucells Costa A, Lukowicz P. Accurate spirometry with integrated barometric sensors in face-worn garments. Sensors 2020;20:4234.
4. Vanegas E, Igual R, Plaza I. Sensing systems for respiration monitoring: a technical systematic review. Sensors 2020;20:5446.
5. Al-Halhouli A, Al-Ghussain L, El Bouri S, Liu H, Zheng D. Fabrication and evaluation of a novel non-invasive stretchable and wearable respiratory rate sensor based on silver nanoparticles using inkjet printing technology. Polymers 2019;11:1518.
6. Atalay O, Kennon WR, Demirok E. Weft-knitted strain sensor for monitoring respiratory rate and its electro-mechanical modeling. IEEE Sens J 2015;15:110-22.
7. Saha U, Kamat A, Sengupta D, Jayawardhana B, Kottapalli AGP. A low-cost lung monitoring point-of-care device based on a flexible piezoresistive flow sensor. In: 2020 IEEE SENSORS; 2020 Oct 25-28; Rotterdam, Netherlands. IEEE; 2020. p. 1-4.
8. Moshizi SA, Abedi A, Pastras CJ, et al. Carbon nanofiber-reinforced Pt thin film-based airflow sensor for respiratory monitoring. Sensor Actuat A Phys 2022;347:113969.
9. Chu M, Nguyen T, Pandey V, et al. Respiration rate and volume measurements using wearable strain sensors. npj Digit Med 2019;2:8.
10. Zhang C, Zhang L, Pu Z, Bao B, Ouyang W, Li D. Fabricating 1D stretchable fiber-shaped electronics based on inkjet printing technology for wearable applications. Nano Energy 2023;113:108574.
11. Ghatak B, Banerjee S, Ali SB, et al. Design of a self-powered triboelectric face mask. Nano Energy 2021;79:105387.
12. Li Y, Qiu X, Xia P, et al. Enabling a low-resistance high-accuracy flowmeter for the diagnosis of chronic obstructive pulmonary disease. Measurement 2022;188:110551.
13. De Fazio R, Stabile M, De Vittorio M, Velázquez R, Visconti P. An overview of wearable piezoresistive and inertial sensors for respiration rate monitoring. Electronics 2021;10:2178.
14. Chen G, Guan R, Shi M, et al. A nanoforest-based humidity sensor for respiration monitoring. Microsystems Nanoeng 2022;8:44.
15. Oostveen E, MacLeod D, Lorino H, et al. The forced oscillation technique in clinical practice: methodology, recommendations and future developments. Eur Respir J 2003;22:1026-41.
16. Liu Z, Zhang C, Ding X, et al. A thermopile-based gas flow sensor with high sensitivity for noninvasive respiration monitoring. Micromachines 2023;14:910.
17. Al Farisi MS, Wang Y, Hasegawa Y, Matsushima M, Kawabe T, Shikida M. Facile in-tube-center packaging of flexible airflow rate microsensor for simultaneous respiration and heartbeat measurement. IEEE Sens J 2023;23:12626-33.
18. Braun SR. Chapter 43 - Respiratory Rate and Pattern. In: Walker HK, Hall WD, Hurst JW, editors. Clinical methods: the history, physical, and laboratory examinations. Boston: Butterworths; 1990. Available from: https://www.ncbi.nlm.nih.gov/books/NBK365/. [Last accessed on 22 May 2024].
19. Gorini M, Misuri G, Corrado A, et al. Breathing pattern and carbon dioxide retention in severe chronic obstructive pulmonary disease. Thorax 1996;51:677-83.
20. Zulkifli NAB, Jeong W, Kim M, et al. Highly reliable magnetic-based pressure sensor utilizing simple microstructured PDMS: mechanical and design analysis via finite element analysis. IEEE Sens J 2021;21:16560-7.
21. Pleil JD, Ariel Geer Wallace M, Davis MD, Matty CM. The physics of human breathing: flow, timing, volume, and pressure parameters for normal, on-demand, and ventilator respiration. J Breath Res 2021;15:042002.
22. Faghy MA, Brown PI, Davis NM, Mayes JP, Maden-Wilkinson TM. A flow resistive inspiratory muscle training mask worn during high-intensity interval training does not improve 5 km running time-trial performance. Eur J Appl Physiol 2021;121:183-91.
23. Krause-Sorio B, An E, Aguila AP, Martinez F, Aysola RS, Macey PM. Inspiratory muscle training for obstructive sleep apnea: protocol development and feasibility of home practice by sedentary adults. Front Physiol 2021;12:737493.
24. Langer D, Charususin N, Jácome C, et al. Efficacy of a novel method for inspiratory muscle training in people with chronic obstructive pulmonary disease. Phys Ther 2015;95:1264-73.
25. Kim TK, Kim JK, Jeong OC. Measurement of nonlinear mechanical properties of PDMS elastomer. Microelectron Eng 2011;88:1982-5.
26. Wolf MP, Salieb-Beugelaar GB, Hunziker P. PDMS with designer functionalities - Properties, modifications strategies, and applications. Prog Polym Sci 2018;83:97-134.
27. Lötvall J, Ekerljung L, Lundbäck B. Multi-symptom asthma is closely related to nasal blockage, rhinorrhea and symptoms of chronic rhinosinusitis-evidence from the West Sweden Asthma Study. Respir Res 2010;11:163.
28. Kim JS, Rubin BK. Nasal and sinus inflammation in chronic obstructive pulmonary disease. COPD 2007;4:163-6.
29. Hung TQ, Kim DY, Rao BP, Kim C. Novel planar hall sensor for biomedical diagnosing lab-on-a-chip. In: Rinken T, editor. State of the art in biosensors - general aspects. 2013.
30. Kim M, Oh S, Jeong W, et al. Highly bendable planar hall resistance sensor. IEEE Magn Lett 2020;11:1-5.
31. Jeong W, Kim M, Ha JH, et al. Accurate, hysteresis-free temperature sensor for health monitoring using a magnetic sensor and pristine polymer. RSC Adv 2019;9:7885-9.
32. Yoo J, Lee YR, Kim H, Sul SK. Shielding technique for noise reduction in hall-effect current sensor of voltage source inverter. In: 2022 IEEE Energy Conversion Congress and Exposition (ECCE); 2022 Oct 09-13; Detroit, USA. IEEE; 2022. p. 1-5.
33. Alhuthail E, Stockley J, Coney A, Cooper B. Measurement of breathing in patients with post-COVID-19 using structured light plethysmography (SLP). BMJ Open Respir Res 2021;8:e001070.
34. Koppurapu VS, Puliaiev M, Doerschug KC, Schmidt GA. Ventilated patients with COVID-19 show airflow obstruction. J Intensive Care Med 2021;36:696-703.
35. Ni X, Ouyang W, Jeong H, et al. Automated, multiparametric monitoring of respiratory biomarkers and vital signs in clinical and home settings for COVID-19 patients. Proc Natl Acad Sci U S A 2021;118:e2026610118.
36. Formiga MF, Roach KE, Vital I, et al. Reliability and validity of the test of incremental respiratory endurance measures of inspiratory muscle performance in COPD. Int J Chron Obstruct Pulmon Dis 2018;13:1569-76.
