Automatic System for Detecting Pathologies in the Respiratory System for the Care of Patients with Bronchial Asthma Visualized by Computerized Radiography

Main Article Content

Brian Meneses-Claudio
Rosa Perez-Siguas
Hernan Matta-Solis
Eduardo Matta-Solis
Hernan Matta-Perez
Alejando Cruzata-Martinez
Juan Saberbein-Muñoz
Maria Salinas-Cruz


COVID-19 is a disease that directly affects the respiratory tract, being harmful in asthmatic patients because this condition causes a lack of oxygen, even to the extent that it requires external equipment to combat drowning. Likewise, it highlights the importance of maintaining a treatment or therapy correctly to prevent your disease from worsening or being exposed to other diseases, putting your health at risk. The diseases that asthmatic patients can acquire can result from pathologies, which have been growing over the years due to lack of equipment or efficient examinations that generate complete information about respiratory conditions about asthmatic patients, therefore, by developing an advanced system, the chances of detecting pathologies prematurely increase considerably,  which is an essential tool today. According to the problem exposed, in this research an automatic system of detection of pathologies in the respiratory system was carried out for the care of the patient with bronchial asthma visualized by computerized radiography, so that any pathology can be detected by means of a premature diagnosis in the respiratory system and the doctor can perform a correct treatment on the asthmatic patient. Through the tests carried out by the system, its performance was accurate and efficient, being suitable to be implemented in various hospitals so that the doctor can treat the disease in time, since the system presented a 98.79% efficiency in the detection of pathologies.

Article Details

How to Cite
Meneses-Claudio, B. ., Perez-Siguas, R. ., Matta-Solis, H. ., Matta-Solis, E. ., Matta-Perez, H. ., Cruzata-Martinez, A. ., Saberbein-Muñoz, J. ., & Salinas-Cruz, M. . (2023). Automatic System for Detecting Pathologies in the Respiratory System for the Care of Patients with Bronchial Asthma Visualized by Computerized Radiography. International Journal on Recent and Innovation Trends in Computing and Communication, 11(2), 27–34.


M. Adnan Shereen, S. Khan, A. Kazmi, N. Bashir, and R. Siddique, "COVID-19 infection: Emergence, transmission, and characteristics of human coronaviruses," J Adv Res, vol. 24, pp. 91–98, Jul. 2020, doi: 10.1016/j.jare.2020.03.005.

M. Schmulson, M. F. Dávalos, and J. Berumen, "Beware: Gastrointestinal symptoms can be a manifestation of COVID-19," Rev Gastroenterol Mex, vol. 85, no. 3, pp. 282–287, Jul. 2020, doi: 10.1016/J.RGMX.2020.04.001.

M. Palacios Cruz, E. Santos, M. Velázquez Cervantes, and M. León Juárez, "COVID-19, a worldwide public health emergency," Revista Clínica Española (English Edition), vol. 221, no. 1, pp. 55–61, Jan. 2021, doi: 10.1016/j.rceng.2020.03.001.

Ó. L. Medina Espitia, F. Mendoza Beltrán, A. M. Anaya Almanza, and Ó. A. Molano Salazar, "COVID-19 and metabolism: a look beyond the respiratory system and thrombotic disease," Revista Colombiana de Cardiología, vol. 28, no. 4, pp. 366–373, Jul. 2021, doi: 10.24875/RCCAR. M21000067.

J. J. L. Sienra Monge, "COVID-19 and the asthmatic patient in the office," CONAMED Magazine, vol. 25, no. 1, pp. 24–30, 2020, doi: 10.35366/97345.

P. M. Buss and S. Tobar, "COVID-19 and opportunities for international cooperation in health," Cad Saude Publica, vol. 36, no. 4, pp. 1–3, Apr. 2020, doi: 10.1590/0102-311X00066920.

M. Román Rodríguez, L. Ginel Mendoza, M. Blanco Aparicio, M. Rodríguez Rodríguez, and M. Bárcena Caamaño, "What not to do in the therapeutic management of bronchial asthma. Delphi consensus recommendations for physicians who treat asthma," Aten Primaria, vol. 53, no. 7, pp. 1–9, Aug. 2021, doi: 10.1016/J.APRIM.2021.102101.

R. Calderón Villa and J. F. Tejera Concepción, "The bronchial asthma, an approach to this look in Cuba," Revista pedagógica de la Universidad de Cienfuegos, vol. 16, no. 76, pp. 15–23, Sep. 2020.

V. L. Soya, V. N. Lezana, and A. P. Silva, "Childhood Obesity and Bronchial Asthma," Pediatric Pneumology, vol. 14, no. 4, pp. 200–204, Dec. 2019, doi: 10.51451/NP. V14I4.113.

J. C. Vázquez García et al. , "E-health strategy to improve the diagnosis of COPD and asthma in Mexico's Primary Care," Neumol Cir Thorax, vol. 80, no. 1, pp. 11–18, Jan. 2021, doi: 10.35366/99449.

C. Chiesa, J. Lechien, and S. Saussez, "The alteration of smell and taste in COVID-19 patients. A diagnostic resource in primary care," Aten Primaria, vol. 52, no. 8, p. 592, Oct. 2020, doi: 10.1016/J.APRIM.2020.05.005.

M. A. Vences, C. Manrique Villegas, J. Mogollon Lavi, T. Arias Rojas, and F. Barriga Cari, "Critical asthma associated with allergic bronchopulmonary aspergillosis: case report," Rev Peru Med Exp Salud Publica, vol. 37, no. 2, pp. 367–370, Aug. 2020, doi: 10.17843/RPMESP.2020.372.4773.

J. Contreras Porta, F. Vílchez Sánchez, D. Loli Ausejo, A. Fiandor, and J. Domínguez Ortega, "When education in asthma is crucial. About a case," Rev Alerg Mex, vol. 66, no. 4, pp. 493–498, Sep. 2019, doi: 10.29262/RAM. V66I4.584.

D. Zambrana, V. Esteve, J. Vicente, and J. Sabater, "Non-invasive obtaining of the carotid blood pressure wave," XL Jornadas de Automatica, pp. 113–118, 2019, doi: 10.17979/spudc.9788497497169.113.

R. Bassiouny, A. Mohamed, K. Umapathy, and N. Khan, "Portable Early Pathology Detection System for Children with Pulmonary Complications by Means of Imaging," Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 3029–3034, 2021, doi: 10.1109/EMBC46164.2021.9630169.

I. v. Semernik, A. v. Dem'yanenko, F. S. Topalov, and Y. v. Nevstruev, "Premature Pulmonary Pathology System for Elderly Patients with Chronic Asthma by Means of Real Images," Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus, pp. 1318–1322, Feb. 2019, doi: 10.1109/EICONRUS.2019.8657188.

G. Aresta et al. , "Intelligent System for Detecting Pulmonary Infections in Asthmatic Patients Applied to Improve Diagnosis in Radiologists' Screening Performance," IEEE J Biomed Health Inform, vol. 24, no. 10, pp. 2894–2901, Oct. 2020, doi: 10.1109/JBHI.2020.2976150.

H. Khachnaoui, M. Agrebi, S. Halouani, and N. Khlifa, "Asthmatic Pathology Recognition System Applied to the Respiratory Tract by Means of Tomography," 2022 6th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), pp. 1–6, May 2022, doi: 10.1109/ATSIP55956.2022.9805929.

V. Nathan, K. Vatanparvar, K. S. Chun, and J. Kuang, "Voice-Learning System for the Detection of Pulmonary Diseases in Older Adults," Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 1338–1341, 2022, doi: 10.1109/EMBC48229.2022.9871980.

A. Sucasas Alonso, S. Pértega Díaz, R. Sáez Soto, and A. Ávila Álvarez, "Epidemiology and risk factors for bronchopulmonary dysplasia in preterm infants born at or less than 32 weeks of gestation," An Pediatr (Engl Ed), vol. 96, no. 3, pp. 242–251, Mar. 2022, doi: 10.1016/J.ANPEDI.2021.03.002.