DOI 10.17586/0021-3454-2018-61-1-84-89
UDC 004.6
GENERALIZED CONCEPTUAL DATA MODEL OF ELECTROPHYSIOLOGICAL STUDIES OF THE GASTROINTESTINAL TRACT
M. V. Lomonosov Northern (Arctic) Federal University, Department of Applied Informatics; Associate Professor
Read the full article
Abstract. Electrophysiological methods for analyzing the contractile activity of the gastrointestinal tract — electrogastrography and electrogastroenterography — are considered. The analysis of actual studies on the structure of electrogastrography and electrogastroenterography data is presented. The data generalization is used to create a data-signal-measurement-survey model. Some ways of implementing the model are considered.
Keywords: conceptual data model, data format, standard, bio-signal, electrogastrography, electrogastroenterography
References:
References:
- Zaychenko K.V., Zharinov O.O., Kulin A.N. S"em i obrabotka bioelektricheskikh signalov (Renting and Processing of Bioelectric Signals), St. Petersburg, 2001, 140 p. (in Russ.)
- Yin J., Chen J.D.Z. J. of Neurogastroenterology and Motility, 2013, no. 1(19), pp. 5–17. DOI: 10.5056/jnm.2013.19.1.5.
- Kosenko P.M., Vavrinchuk S.A. Electrogastroenterography in Patients with Complicated Peptic Ulcer, Yelm, USA, Science Book Publishing House, 2013, 164 p.
- Voloshin K.V. Aktual'nі problemi suchasnoї meditsini: vіsnik Ukraїns'koї medichnoї stomatologіchnoї akademії, 2015, no. 4(52), pp. 50–52. (in Russ.)
- Liang H. Support Vector Machines: Theory and Applications, 2005, рр. 399–412. DOI: 10.1007/10984697_19.
- Kara S., Dirgenali F., Okkesim Ş. Computers in Biology and Medicine, 2006, no. 3(36), pp. 276–290. DOI: 10.1016/j.compbiomed.2005.01.002
- Arbizu R.A., Rodriguez L. Pediatric Neurogastroenterology, 2017, рр. 169–179. DOI: 10.1007/978-3-319-43268-7_15.
- Brun A.C., Olafsdottir E J., Bentsen B.S., Stordal K., Johannesdottir G.B., Medhus A.W. e-SPEN Journal, 2014, no. 6(9), pp. 215–219. DOI: 10.1016/j.clnme.2014.09.003.
- Bor C., Bordin D., Demirag K., Uyar M. Turk. Journal Gastroenterol., 2016, no. 27, pp. 216–220. DOI: 0.5152/tjg.2016.16019.
- Homma S. J. of Smooth Muscle Research, 2014, no. 50, pp. 1–7. DOI: 10.1540/jsmr.50.1.
- Sauermann S., David V., Schlogl, A., Egelkraut, R., Frohner M., Pohn B., Urbauer P., Mense A. Studies in health technology and informatics, 2017, no. 236, pp. 356–362.
- Komorowski D. Information Technologies in Medicine, 2016, рр. 311–324. DOI: 10.1007/978-3-319-39796-2_26.
- Sergienko A. B. Tsifrovaya obrabotka signalov (Digital Signal Processing), St. Petersburg, 2013, 758 p. (in Russ.)
- http://www.gastroscan.ru/physician/egg/
- Murakami H., Matsumoto H., Kubota H., Higashida M., Nakamura M., Hirai T. J. of Smooth Muscle Research, 2013, no. 49, pp. 1–14. DOI: 10.1540/jsmr.49.1.
- Kvetina J., Tacheci I., Pavlik M., Kopacova M., Rejchrt S., Douda T., Kunes M., Bures J. Physiological Research, 2015, no. 64, pp. 647.
- Riezzo G., Russo F., Indrio F. BioMed Research International. 2013. P. 1–14. DOI: 10.1155/2013/282757.
- Sharma P., Makharia G., Yadav R., Dwivedi S.N., Deepak K.K. J. of Smooth Muscle Research, 2015, no. 51, pp. 50–57. DOI: 10.1540/jsmr.51.50.
- Sagdulaev D.Sh., Bagnenko S.F., Dubikaytis P.A., Alimov R.R., Lapitskiy A.V.MorskayaMeditsyna (Marine Medicine), 2015, no. 2(1), pp. 14–22. (in Russ.)
- Zhang Y., Liu Z., Liu X., Han X., Zhou Y., Cao Y., Zhang X. Physiological Measurement,2013, no. 7(34), pp.799.DOI: 10.1088/0967-3334/34/7/799.
- Kayar Y., Danaliouglu A., Al Kafee A., Okkesim, S., Senturk H. Turk.Journal Gastroenterol.,2016,no. 27, pp. 415–420. DOI: 0.5152/tjg.2016.16281.
- Komorowski D., Pietraszek S. J.of Medical Systems,2016, no. 1(40), pp. 10–25. DOI: 10.1007/s10916-015-0358-4.
- Kim H.Y., Park S.J., Kim Y.H. J.of Gastric Cancer,2014, no. 1(14), pp. 47–53. DOI: 10.5230/jgc.2014.14.1.47.
- IntroducingJSON, http://www.json.org/.
- Kemp B., Olivan J. Clinical Neurophysiology, 2003, no. 9(114), pp. 1755–1761.DOI: 10.1016/S1388-2457(03)00123-8
- EGEGrouper0.4.0, https://pypi.python.org/pypi/EGEGrouper.
