Nebulizer Operational Time Control Based on Drug Volume and Droplet Size Using Fuzzy Sugeno Method
DOI:
https://doi.org/10.18196/jrc.2259Keywords:
Nebulizer, Fuzzy Takagi-Sugeno, time operational, liquid drug, droplet sizeAbstract
Nebulizer is one of the electro medic devices that serve to provide therapy for patients who experience abnormalities or disorders of the respiratory tract. Nebulizer system works using piezo electronic device to produces high frequency vibration. With this high frequency vibration the drug liquid molecules breaks down become fumes, thus it can easily to inhale for patient even for children. Unfortunately like other aerosol drug delivery system, the operation of nebulizer is also still manual. The patient doesn’t really know when the drug is empty on the canister. The nurses also need to check in regularly to see if the drugs are empty or not. In this paper a fuzzy sugeno methods is used to give prediction of nebulizer time operational. We propose fuzzy sugeno to calculate the time operational nebulizer using two parameters, such as drug droplet size and drug liquid volumes that have been administer by nurses. Using fuzzy sugeno method we can solve the nebulizer manual operational time problem. Our result show that the longest operational time was 26.07 minutes, this achieve when liquid volume was 5 ml and the size of drug droplet was 1 um. Meanwhile for the shortest operational time was 8.07 minutes, this achieve when liquid volume was 10 ml and the size of drug droplet was 4 um. We can conclude that we had successful to control nebulizer operational time using fuzzy sugeno method.References
A. Gauruder-Burmester, A. Biskupskie, A. Rosahl, and R. Tunn, “Electromotive drug administration for treatment of therapy-refractory overactive bladder,” Int. Braz J Urol, 2008, doi: 10.1590/s1677-55382008000600011.
R. Zhu et al., “Research and development of a laparoscopic surgical device for ligating endless organs based on a flexible structure,” Comput. Assist. Surg., 2017, doi: 10.1080/24699322.2017.1378790.
Y. Khan, A. E. Ostfeld, C. M. Lochner, A. Pierre, and A. C. Arias, “Monitoring of Vital Signs with Flexible and Wearable Medical Devices,” Advanced Materials. 2016, doi: 10.1002/adma.201504366.
S. M. R. Islam, D. Kwak, M. H. Kabir, M. Hossain, and K. S. Kwak, “The internet of things for health care: A comprehensive survey,” IEEE Access, 2015, doi: 10.1109/ACCESS.2015.2437951.
S. Kuwayama et al., “Automated Detection of Macular Diseases by Optical Coherence Tomography and Artificial Intelligence Machine Learning of Optical Coherence Tomography Images,” J. Ophthalmol., 2019, doi: 10.1155/2019/6319581.
M. Thrall, W. Khalbuss, and L. Pantanowitz, “Telecytology: Clinical applications, current challenges, and future benefits,” J. Pathol. Inform., 2011, doi: 10.4103/2153-3539.91129.
K. Heslop, L. Lannefors, and B. Dautzenberg, “Local nebulizer services,” in European Respiratory Review, 2000.
D. R. Hess and R. R. T. Faarc, “Nebulizers : Principles and performance,” Respir. Care, vol. 45, no. 6, 2000.
S. Prajapati, S. Saha, and B. Sahoo, “Nebulized Drug Delivery: An Overview,” Int. J. Pharm. Sci. Res., vol. 10, no. 8, pp. 3575–3582, 2019, doi: 10.13040/IJPSR.0975-8232.10(8).3575-82.
P. Demoly, D. Jaffuel, H. Sahla, J. Bousquet, F. B. Michel, and P. Godard, “The use of home nebulizers in adult asthma,” Respiratory Medicine. 1998, doi: 10.1016/S0954-6111(98)90507-8.
S. D. McCarthy, H. E. González, and B. D. Higgins, “Future Trends in Nebulized Therapies for Pulmonary Disease,” J. Pers. Med., 2020, doi: 10.3390/jpm10020037.
P. Zarogoulidis et al., “Inhaled chemotherapy in lung cancer: Future concept of nanomedicine,” International Journal of Nanomedicine. 2012, doi: 10.2147/IJN.S29997.
S. N. M. Hanif and L. Garcia-Contreras, “Pharmaceutical aerosols for the treatment and prevention of tuberculosis.,” Frontiers in cellular and infection microbiology. 2012, doi: 10.3389/fcimb.2012.00118.
A. Ari, “Practical strategies for a safe and effective delivery of aerosolized medications to patients with COVID-19,” Respiratory Medicine. 2020, doi: 10.1016/j.rmed.2020.105987.
M. Dos Santos Filho, D. Hainfellner, D. Do Amaral Mendonça, M. R. V. De Oliveira Folha, B. R. S. Alberigi, and J. P. Paiva, “Nebulization with sodium chloride solution (0.9%) in the treatment of chronic canine bronchitis,” Acta Vet. Bras., 2017, doi: 10.21708/avb.2017.11.1.6569.
K. L. M. A.-B. C. R. A.-C. Gregory, D. M. N.-C. Elliott, and P. Me. R. F. Dunne, “Guide to Aerosol Delivery Devices for Physicians, Nurses, Pharmacists, and Other Health Care Professionals,” American Association for Respiratory Care. 2013, doi: 10.1017/CBO9781107415324.004.
D. Hess, D. Fisher, P. Williams, Pooler, Sharon, and R. M. Kacmarek, “Medication Nebulizer Performance Effects Of Diluent Volume, Nebulizer Flow, and Nebulizer Brand,” Chest, vol. 110, no. 2, 1996, doi: 10.1378/chest.110.2.498.
R. Dzwonczyk, M. Brockman, D. George, N. Hankins, M. McHugh, and M. Gutierrez Soto, “A method of powering a nebulizer manually using parts locally available in Honduras,” in Proceedings of the 5th IEEE Global Humanitarian Technology Conference, GHTC 2015, 2015, doi: 10.1109/GHTC.2015.7343952.
C. J. Hallberg, M. T. Lysaught, C. E. Zmudka, W. K. Kopesky, and L. E. Olson, “Characterization of a human powered nebulizer compressor for resource poor settings,” Biomed. Eng. Online, 2014, doi: 10.1186/1475-925X-13-77.
R. E. Bellman and L. A. Zadeh, “Decision-Making In A Fuzzy Environment Report No ERL-69-8 National Aeronautics And Space Administration,” 1970.
L. A. Zadeh, “The Concept of a Linguistic Variable and its Application to Approximate Reasoning,” Inf. Sci. (Ny)., vol. 8, 1975.
L. A. Zadeh, “Fuzzy Sets,” Inf. Control, vol. 8, pp. 338–353, 1965.
S. R. Riady, D. Maulana, A. Suwarno, and A. Nugroho, “Implementasi Sistem Monitoring Suhu Pada Produk Makanan di Mesin Sterilisasi Menggunakan Fuzzy Logic Berbasis Internet of Things,” InComTech J. Telekomun. dan Komput., vol. 8, no. 2, pp. 121–132, 2018, doi: 10.22441/incomtech.v8i2.4089.
A. I. Haq, M. A. Riyadi, and Sumardi, “Sistem Tracking Panel Surya Untuk Pengoptimalan Daya Menggunakan Metode Kendali Logika Fuzzy,” Sinergi, vol. 18, no. 3, pp. 35–41, 2014, doi: 10.12777/transmisi.17.1.35-41.
M. B. Kar, K. Chatterjee, and S. Kar, “A Network-TOPSIS based fuzzy decision support system for supplier selection in risky supply chain,” Seventh Int. Jt. Conf. Comput. Sci. Optim. IEEE, 2014, doi: 10.1109/CSO.2014.61.
J. R. Poulsen, “Fuzzy Time Series Forecasting: A Survey,” Aalborg University Esbjerg, 2009.
S. Supriyadi, G. Ramayanti, and R. Afriansyah, “Analisis Total Productive Maintenance Dengan Metode Overall Equipment Effectiveness Dan Fuzzy Failure Mode and Effects Analysis,” Sinergi, vol. 21, no. 3, p. 165, 2017, doi: 10.22441/sinergi.2017.3.002.
T. Pangaribowo, “IMPLEMENTASI ALGORITMA LOGIKA FUZZY PADA PROSES SELEKSI PENERIMAAN MAHASISWA BARU ( Diterapkan Pada Politeknik Kotabaru ),” Sinergi, vol. 18, no. 1, pp. 53–60, 2014.
A. Soltani, S. Abadi, and P. A. Hosseinabadi, “Fuzzy Adaptive Finite Time Control Ship Fin Stabilizing Systems Model of Fuzzy Takagi-Sugeno with Unknowns and Disturbances,” in 6th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS), 2018, no. February, doi: 10.1109/CFIS.2018.8336619.
E. P. Klement and W. Slany, “Fuzzy Logic in Artificial Intelligence,” in Encyclopedia of Computer Science and Technology, no. July, 1997.
M. H. I. Ishak, A. W. A. Aziz, and M. F. A. M. Kasai, “Fuzzy Logic System in Quantifying Human Driving Skill for Human Adaptive Mechatronics,” Appl. Mech. Mater., vol. 735, pp. 304–310, 2015, doi: 10.4028/www.scientific.net/amm.735.304.
Z. Xiaodong and Y. Xuezhong “Expert consensus on nebulization therapy in pre-hospital and in-hospital emergency care,” Ann. Transl. Med., 2019, doi: 10.21037/atm.2019.09.44.
Downloads
Published
How to Cite
Issue
Section
License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
This journal is based on the work at https://journal.umy.ac.id/index.php/jrc under license from Creative Commons Attribution-ShareAlike 4.0 International License. You are free to:
- Share – copy and redistribute the material in any medium or format.
- Adapt – remix, transform, and build upon the material for any purpose, even comercially.
The licensor cannot revoke these freedoms as long as you follow the license terms, which include the following:
- Attribution. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- ShareAlike. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
- No additional restrictions. You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
• Creative Commons Attribution-ShareAlike (CC BY-SA)
JRC is licensed under an International License
