Fuzzy based Expert system for sleep apnea diagnosis

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2016 by IJETT Journal
Volume-35 Number-12
Year of Publication : 2016
Authors : Ms.Jeyalakshmi M.S, Dr.C.R.Rene Robin
DOI :  10.14445/22315381/IJETT-V35P312

Citation 

Ms.Jeyalakshmi M.S, Dr.C.R.Rene Robin"Fuzzy based Expert system for sleep apnea diagnosis", International Journal of Engineering Trends and Technology (IJETT), V35(12),555-558 May 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
Reduction and pause of airflow during sleep is the main characteristics of sleep apnea .It is becoming common in children. There are several tests that can be used to confirm the diagnosis. The treatment of sleep apnea can be either surgical or nonsurgical. In this paper a simple way of diagnosis of sleep apnea is devised by analysing the Heart rate variability (HRV) is being devised. A fuzzy based medical expert system is build to treat the sleep apnea using musical therapy is attempted. Further the stress level of sleep apnea patient is also evaluated. This medical Expert system helps the specialist to screen the patient easily for appropriate diagnosis.

 References

[1] Acampora, G., Lee C.S., vitiello, a. and wang, m.h., 2012. Evaluating cardiac health through semantic soft computing techniques., Soft Computing. Soft Computing, 16 (7), pp. 1165-1187. ISSN 1432-7643.
[2] Burr RL, Motzer SA, Wan C, Cowan MJ, Shulman RJ, Heitkemper MM. Heart rate variability and 24-hour minimum heart rate. Biol Res Nurs. 2006;7(4):256–67.
[3]. Task force of European society of cardiology . Heart rate variability Standards of measurement, physiological interpretation, and clinical use. European Heart Journal (1996) 17, 354–381
[4]. Deepa annamalai, s.muthukrishnan, study and analysis of ecg signal using labview and multisim ijpret, 2014; volume 2 (7): 26-34.
[5] Komal R. Hole, Vijay S. Gulhane, ?Rule-Based Expert System for the Diagnosis of Memory Loss Diseases, International Journal of Innovative Science, Engineering Technology, Vol. 1, Issue 3, May 2014.
[6] Delaney JPA, Brodie DA. Effects of short-term psychological stress on the time and frequency domains heart-rate variability. Percept Mot Skills. 2000;91(2):515.
[7]. Gamelin FX, Berthoin S, Bosquet L. Validity of the Polar S810 Heart rate monitor to measure R-R intervals at rest. Med Sci Sports Exerc. 2006;38(5):887–93.
[8] Goldberger AL, Amaral LAN, Glass L, et al.PhysioBank, PhysioToolkit , and PhysioNet: components of a new Research Resource for Complex
[9] Physiologic Signals. Circulation 2000;101:e215220 Maitri Patel, Atul Patel, Paresh Virparia, ?Rule Based Expert System for Viral Infection Diagnosis, International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 3, Issue 5, May 2013.
[10] Jimmy Singla, ?The Diagnosis of Some Lung Diseases in a PROLOG Expert System, International Journal of Computer Applications, vol. 78, no. 15, pp. 37-40, September 2013.

Keywords
sleep apnea, medical expert system , fuzzy logic , hrv analysis.