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Biotechnical measurement and software system for the prediction and diagnosis of osteochondrosis of the lumbar region with the use of fuzzy logic rules

  • Riad Al-Kasasbeh EMAIL logo , Nikolay Korenevskiy , Florin Ionescu , Mahdi Alshamasin , Andrew P. Smith and Abdullah Alwadie
Published/Copyright: January 30, 2013

Abstract

We propose a biotech measurement scheme and software based on new features for the diagnosis of backbone osteochondrosis. Together with the traditional methods of diagnosis, the energy characteristics of biologically active points (acupuncture points, or APs) are used. This new software is based on mathematical models of the internal and biologically active points of meridian structures’ interaction. The information from the APs is used in the solving rules based on fuzzy logic for decision-making, together with the factors of confidence of Shortliffe, the membership functions of Zadeh, and Kullback’s informativeness measures. In terms of prognostic decision rules, clinical test shows that the quality of prediction using only the energy characteristics of APs is high, with high coefficient of confidence for the control sample as well. A check on control samples allows us to recommend the obtained results for use in medical practice as a part of corresponding systems of support for decision-making.


Corresponding author: Riad Al-Kasasbeh, Faculty of Engineering Technology, Al-Balqa Applied University, 63 Abu-nsser-noor Alhuda Street, PO Box 541324, Amman 11937, Jordan

We gratefully acknowledge funding from the German Research Council (DFG) and additional support from Al-Balqa Applied University in Jordan, South West State University in Russia, University of Applied Sciences (HTWG) in Konstanz, Germany, and Steinbeis-Transfer-Institute Dynamic Systems, Steinbeis University Berlin, and the Higher Council for Science and Technology of Jordan.

References

[1] Acupoints Research Committee of China Society of Acupuncture and Moxibustion: Brief Explanation of Acupoints of the 14 Regular Meridians, Zhang Kai (trans) Beijing, China 1987: 77.Search in Google Scholar

[2] Al-Kasasbeh RT, Korenevskiy NA, Ionescu F, Kuzmin AA. Pre-nosological diagnostics of osteochondrosis of a backbone’s lumbar region. Biomed Eng J 2009; 1: 60–64.Search in Google Scholar

[3] Al-Kasasbeh RT, Korenevskiy NA, Ionescu F, Kuzmin AA. Synthesis of the combined fuzzy rules for medical applications with using tools of exploration analysis. Proceedings of the 4th International Conference on Interdisciplinary Approaches in Fractal Analysis (IAFA), May 26–29, 2009. Bucharest, Romania: Politechnica Press 2009: 71–78.Search in Google Scholar

[4] Al-Kasasbeh RT, Korenevskiy NA, Ionescu F, Kuzmin AA. Synthesis of combined fuzzy decision rules based on the exploration analysis data. Proceeding of International Conference Medical Information Technologies, May 26–29, 2009. Kursk, Russia: Kursk State Technical University 2009: 26–29.Search in Google Scholar

[5] Al-Kasasbeh RT, Korenevskiy NA, Ionescu F, Kuzmin AA. Using Fuzzy logic for prediction of occurrence, aggravation and pre-nosological diagnostics of osteochondrosis of a backbone’s lumbar region. Proceedings of the IASTED International Conference Computational Intelligence, August 17–19, 2009: Honolulu, HI, USA: ACTA Press 2009: 190–194.Search in Google Scholar

[6] Al-Kasasbeh R, Korenevskiy N, Ionescu F, Alshamasin M. Prediction and prenosological diagnostics of gastrointestinal tract diseases based on energy characteristic of acupuncture points and fuzzy logic. Bioinformatics Biomedical Technology: Proceedings of the 3rd International Conference on Bioinformatics and Biomedical Technology (ICBBT 2011), March 25–27, 2011. Sanya, China: IEEE 2011: 307–311.Search in Google Scholar

[7] Al-Kasasbeh R, Korenevskiy N, Ionescou F, Alshamasin M, Kuzmin A. Synthesis of fuzzy logic for prediction and medical diagnostics by energy characteristics of acupuncture points. J Acupunct Meridian Stud 2011; 4: 175–182.10.1016/j.jams.2011.09.005Search in Google Scholar PubMed

[8] Al-Kasasbeh RT, Korenevskiy N, Alshamasin M, Ionescou F, Smith AP. Prediction of gastric ulcers based on the change in electrical resistance of acupuncture points using fuzzy logic decision making. Comput Methods Biomech Biomed Eng 2012: 1–12.Search in Google Scholar

[9] Al-Kasasbeh R, Korenevskiy N, Ionescou F, Alshamasin M, Kuzmin A. Prediction and prenosological diagnostics of heart diseases based on energy characteristics of acupuncture points and fuzzy logic. Comput Methods Biomech Biomed Eng 2012; 15: 1–9.10.1080/10255842.2011.554644Search in Google Scholar PubMed

[10] Ananin VF. Refloxology (theory and methods): monograph in Russian. Moscow: RUDN and Biomedinform 1992.Search in Google Scholar

[11] Buchanan BG, Shortliffe EH. Rule-based expert systems: the MYCIN experiments of the Stanford Heuristic Programming Project. Reading, MA: Addison-Wesley 1984.Search in Google Scholar

[12] Chen H, Geller EB, Adler MW. Electrical stimulation at traditional acupuncture sites in periphery produces brain opioid-receptor-mediated anti-nociception in rats. J Pharmacol Exp Ther 1996; 277: 654–660.Search in Google Scholar

[13] Chen K. Electric properties of meridians. IEEE Eng Med Biol Mag 1996; 15: 58–63.10.1109/51.499759Search in Google Scholar

[14] Epifanov VA, Rolik IS, Epifanov VV. Spinal osteochondrosis (diagnosis, clinical features, treatment). Moscow: Medical Press-Inform 2002.Search in Google Scholar

[15] Epifanov VA, Rolik IS, Epifanov VV. Spinal osteochondrosis (diagnosis, treatment, prevention). Moscow: Medical Press-Inform 2004.Search in Google Scholar

[16] Fu LM, Shortliffe EH. The application of certainty factors to neural computing for rule discovery. IEEE Trans Neural Networks 2000; 11: 647–657.10.1109/72.846736Search in Google Scholar PubMed

[17] Godik E, Gulayev Y. Functional imaging of the human body: dynamic mapping of physical E-M fields, signals a breakthrough in medical diagnostics. IEEE Eng Med Biol 1991; 4: 21–29.10.1109/51.107165Search in Google Scholar PubMed

[18] Jensen MC, Brant-Zawadzki MN, Obuchowski, et al. Magnetic resonance imaging of the lumbar spine in people without back pain. N Engl J Med 1994; 331: 69–73.10.1056/NEJM199407143310201Search in Google Scholar PubMed

[19] Johng HM, Cho JH, Shin HS, et al. Frequency dependence of impedances at the acupuncture point Quze (PC3). Eng Med Biol Mag 2002; 21: 33–36.10.1109/MEMB.2002.1000183Search in Google Scholar

[20] Klir GJ, Yuan B. Fuzzy sets, fuzzy logic, and fuzzy systems. Selected papers by Zadeh LA. Singapore: World Scientific 1996: pp. 826.Search in Google Scholar

[21] Klir GJ, St Clair U, Yuan B. Fuzzy set theory foundations and applications. Upper Saddle River: Prentice-Hall Inc. 1997.Search in Google Scholar

[22] Korenevskiy NA, Krupchatnikov RA, Gorbatenko SA. Generation of fuzzy network models taught on basis of data structure for medical expert systems. Biomed Eng J 2008; 42: 67–72.10.1007/s10527-008-9020-5Search in Google Scholar

[23] Korenevskiy NA, Krupchatnikov R, Seregin AP. Theoretical fundamentals biophysics acupuncture with applications in biology and medicine and ecology using fuzzy logic. Monograph in Russian. Kursk: Kursk State Technical University Press 2010: 521.Search in Google Scholar

[24] Korenevskiy NA, Al-Kasasbeh RT, Ionescu F, Arghir S. Determining the level of psycho-emotional tension on a heterogeneous rules of fuzzy output. Proceedings of the 18th International Conference on Control Systems and Computer Science (CSCS-18), May 24–27, 2011. Bucharest, Romania: Politechnica Press 2011: 901–904.Search in Google Scholar

[25] Korenevskiy N, Al-Kasasbeh RT, Ionescou F, Alshamasin M, Alkasasbeh E, Smith AP. Fuzzy determination of the human’s level of psycho-emotional. Biomedical Engineering. BME2012. Proceedings of the 4th International Conference on the Development of Biomedical Engineering, January 8–12, 2012. Ho Chi Minh City, Vietnam: Springer 2012: 354–357.Search in Google Scholar

[26] Kulback S. Information theory and statistics. New York: Wiley 1959.Search in Google Scholar

[27] Lee MS, Jeong SY, Lee YH, Jeong DM, Eo YG, Ko SB. Differences in electrical conduction properties between meridians and non-meridians. Am J Chin Med 2005; 33: 723–728.10.1142/S0192415X05003405Search in Google Scholar PubMed

[28] Litscher G, Wang L. Thermographic visualisation of changes in peripheral perfusion brought about by acupuncture. Biomed Eng 1999; 44: 129–134.10.1515/bmte.1999.44.5.129Search in Google Scholar PubMed

[29] Longhurst JC. Defining meridians: a modern basis of understanding. J Acupunct Meridian Stud 2010; 3: 67–74.10.1016/S2005-2901(10)60014-3Search in Google Scholar

[30] Lu WA, Tuesi JJ, Chen KG. Preferential direction and symmetry of electric conduction of human meridians. IEEE Eng Med Biol Mag 1999; 18: 76–89.10.1109/51.740987Search in Google Scholar

[31] Luvsan G. Sketch of methods of east reflexotherapy. Novosibirsk, Russia: Nauka 1991.Search in Google Scholar

[32] Martinsen OG, Grimnes S, Mørkrid L, Hareide M. Line patterns in the mosaic electrical properties of human skin – a cross correlation study. IEEE Trans Biomed Eng 2001; 48: 731–4.10.1109/10.923791Search in Google Scholar

[33] Mayer-Gindner A, Lek-Uthai A, Abdallah O, Bolz A. Newly explored electrical properties of normal skin and special skin sites. Biomed Eng 2004; 49: 117–124.10.1515/BMT.2004.024Search in Google Scholar

[34] Pal NR, Eluri VK, Mandal GK. Fuzzy logic approaches to structure preserving dimensionality reduction. IEEE Trans Fuzzy Syst 2002; 10: 277–286.10.1109/TFUZZ.2002.1006431Search in Google Scholar

[35] Portnov FP. Electropuncture reflexotherapy, 1st ed.: Zinatne Publishing House 1980 [in Russian].Search in Google Scholar

[36] Reichmanis M, Marino AA, Becker RO. Electrical correlates of acupuncture points. IEEE Trans Biomed Eng 1975; 22: 533–535.10.1109/TBME.1975.324477Search in Google Scholar

[37] Reichmanis M, Marino A, Becker R, Robert O. Laplace plane analysis of transient impedance between acupuncture points Li-4 and Li-12. IEEE Trans Biomed Eng 1997; 24: 402–405.Search in Google Scholar

[38] Resnik CS, Resnick DL. Pyogenic osteomyelitis and septic arthritis. In: Taveras JM, Ferrucci JT, editors. Radiology: diagnosis-imaging-intervention, vol. 5. Philadelphia, PA: JB Lippincott 1992: 1–6.Search in Google Scholar

[39] Schnorrenberger CC. Spezielle Techniken der Akupunktur und Moxabustion. Stuttgart: Hippokrates Veri 1983 [in German].Search in Google Scholar

[40] Tsuei JJ. A modern interpretation of acupuncture and the meridian system. Bioelectromagnetism. Proceedings of the 2nd International Conference of the IEEE, February 15–18, 1998, 1998: 177–182.Search in Google Scholar

[41] Voll R. Topographic positions of the measurement points in electroacupuncture, Illustrated vol. II. Uelzen, Germany: Medizinisch Literarische Verlagsgesellschaft 1977 [in German].Search in Google Scholar

[42] Yu HM, Chang HH, Liou SY, Li SF, Hou MM, Chen MF. The correlation between skin electrical conductance and the score of Qi vacuity. Am J Chin Med 1998; 26: 283–290.10.1142/S0192415X98000324Search in Google Scholar

[43] Zadeh LA. Fuzzy sets. Inf Control 1965; 8: 338–353.10.1016/S0019-9958(65)90241-XSearch in Google Scholar

[44] Zadeh LA. Advances in fuzzy mathematics and engineering: fuzzy sets and fuzzy information-granulation theory. Beijing: Beijing Normal University Press 2005.Search in Google Scholar

[45] Zhao J, Zheng L, Zhuang T, et al. Representation of acupoints based on the visible human. Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Soc 2003; 18: 525–528.Search in Google Scholar

Received: 2012-8-31
Accepted: 2013-1-2
Published Online: 2013-01-30
Published in Print: 2013-02-01

©2013 by Walter de Gruyter Berlin Boston

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