Application of Industry 4.0 mechanisms in medicine on the example of an integrated support system for treatment of Obstructive Sleep Apnea (OSA)
Barbara Mrzygłód1, Andrzej Opaliński1, Krzysztof Regulski1, Mirosław Głowacki1, Aleksander Kania2, Grażyna Bochenek2, Paweł Nastałek2, Natalia Celejewska-Wójcik2, Krzysztof Sładek2
1AGH – University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, Poland.
2II Chair of Internal Medicine, Faculty of Medicine, Jagiellonian University Medical College Skawinska 8, 31-066, Krakow, Poland.
DOI:
https://doi.org/10.7494/cmms.2017.4.0604
Abstract:
The concept of the 4th Industrial Revolution and the concept of Industry 4.0 are beginning to emerge in many areas of human life and are no longer the domain of the manufacturing industry. Medicine is a special area in which the development of new technologies should bring new opportunities for the diagnosis and treatment of people, as well as the management of medical resources. The paper presents a system for the integration of heterogeneous data sources in the domain of Obstructive Sleep Apnea (OSA). The concept of the system is described along with its main functionalities, IT architecture and details of the implementation. The data sources and the methods of data acquisition from medical devices integrated with the system are also characterized. The main goal of the system is to facilitate patient’s diagnosis and treatment process by integrating the results of the performed medical examinations and analyses. The data source contains clinical interviews, physical examinations, lab tests, and data collected from the devices used to diagnose and monitor patient’s parameters during sleep (PSG, CPAP).
Cite as:
Mrzygłód, B., Opaliński, A., Regulski, K., Głowacki, M., Kania, A., Bochenek, G., Nastałek, P., Celejewska-Wójcik, N., Sładek, K. (2017). Application of Industry 4.0 mechanisms in medicine on the example of an integrated support system for treatment of Obstructive Sleep Apnea (OSA). Computer Methods in Materials Science, 17(4), 218 – 224. https://doi.org/10.7494/cmms.2017.4.0604
Article (PDF):
Keywords:
Medical data integration, OSA treatment, Healthcare support, Heterogeneous data source
References:
Hedner, J., Grote, L., Bonsignore, M., McNicholas, W., Lavie,P., Parati, G., Sliwinski, P., Barbé, F., De Backer, W.,Escourrou, P., Fietze, I., Kvamme, J.A., Lombardi, C.,Marrone, O., Masa, J.F., Montserrat, J.M., Penzel, T., Pretl, M., Riha, R., Rodenstein, D., Saaresranta, T.,Schulz, R., Tkacova, R., Varoneckas, G., Vitols, A.,Vrints, H., Zielinski, J., 2011, The European Sleep ApnoeaDatabase (ESADA): report from 22 European sleeplaboratories, Eur Respir J., 38, 635-42.
Jay, L., Behrad, B., Hung-An, K., 2015, A Cyber-PhysicalSystems architecture for Industry 4.0-based manufacturingsystems, Manufacturing Letters, 3, 18-23,DOI:10.1016/j.mfglet.2014.12.001.
Jay, L., Hung-An, K., Shanhu, Y., 2014, Service Innovation andSmart Analytics for Industry 4.0 and Big Data Environment,Procedia CIRP, 16, 3-8,DOI:10.1016/j.procir.2014.02.001.
Jennum, P.J., Larsen, P., Cerqueira, C., Schmidt, T., TønnesenP., 2016, The Danish National Database for ObstructiveSleep Apnea, Clinical Epidemiology, 8, 573-6.
Kent, B.D., Grote, L., Ryan, S., Pépin, J.L., Bonsignore, M.R.,Tkacova, R., Saaresranta, T., Verbraecken, J., Lévy, P.,Hedner, J., McNicholas, W.T., 2014, ESADA collaborators.Diabetes mellitus prevalence and control in sleepdisorderedbreathing: the European Sleep Apnea Cohort(ESADA) study, Chest, 146, 982-90.
Lasi, H., Kemper, H.-G., Fettke, P., Feld, T., Hoffmann, M.,2014, Business & Information Systems Engineering, Industry4.0 , 4 (6), 239-242.
Marrone, O., Battaglia, S., Steiropoulos, P., Basoglu, O.K.,Kvamme, J.A, Ryan, S,, Pepin, J.L., Verbraecken, J.,Grote, L., Hedner, J., Bonsignore, M.R., 2016, ESADAstudy group., Chronic kidney disease in European patientswith obstructive sleep apnea: the ESADA cohortstudy, J Sleep Res., 25, 739-45.
McEvoy, R.D., 2014, Obstructive sleep apnoea and hypertension:the ESADA study, Eur Respir J., 44, 835-8.
Opaliński, A., Mrzygłód, B., Głowacki, M., Regulski, K., Kania,A., Nastalek, P., Celejewska-Wójcik, N., Bochenek, G.,Sładek, K., 2017, The system for integration of heterogeneousdata sources in the domain of Obstructive SleepApnea, BESC 2017 The 4th International Conference on Behavioral, Economic, and Socio-Cultural Computing, AGH – University of Science and Technology, Krakow,16-18 October, 2017 – in press.
Passali, D., Caruso, G., Arigliano, lC., Passali, F.M., Bellussi, I.,2012, Database application for patients with obstructivesleep apnoea syndrome, Acta Otorhinolaryngol Ital., 32,252-5.
Piątek, Z., 2017, Przemysł 4.0 – Portal nowoczesnegoprzemysłu. Available online at: http://przemysl-40.pl/index.php/2017/03/22/czym-jest-przemysl-4-0/,accessed: 3.02.2018
Saaresranta, T., Hedner, J., Bonsignore, M.R., Riha, R.L.,McNicholas, W.T., Penzel, T., Anttalainen, U., Kvamme,J.A. Pretl, M., Sliwinski, P., Verbraecken, J., GroteL., 2016, ESADA Study Group. Clinical phenotypes andcomorbidity in European sleep apnoea patients, PloSOne, 11(10), e0163439.
doi:10.1371/journal.pone.0163439.
Tkacova, R., McNicholas, W.T., Javorsky, M., Fietze, I., Sliwinski,P., Parati, G., Grote, L., Hedner, J., 2014, Nocturnalintermittent hypoxia predicts prevalent hypertensionin the European Sleep Apnoea Database cohort study,Eur Respir J., 44, 931-41.