KARDIOLOGIK KASALLIKLARNI DIAGNOSTIKA QILISHDA OBRAZLARNI TANISH USULLARI

Tuxtayeva Marg’uba Shuxratovna

Authors

Tuxtayeva Marg’uba Shuxratovna TATU Samarqand filiali

Keywords:

EKG, Sun’iy neyron tarmoqlari, EKGdagi tipik to‘lqinlar, P–QRS–T kompleksi, tayanch vektor mashinalari (SVM), Namuna tanib olish, xususiyatlarni ajratish, Bul funksiyasi, rostlik jadvali

Abstract

Elektrokardiogramma (EKG) – kardiologiyada eng ko‘p qo‘llaniladigan tashxis vositalaridan biri bo‘lib, yurakning elektr faolligini qayd etadi.
Kompyuter tizimlari yordamida EKGni tahlil qilish aritmiyalarni aniqlash, yurak urish tezligining o‘zgaruvchanligini baholash hamda xavfli hodisalarni tezkor aniqlash imkonini beradi. So‘nggi yillarda EKG biometrik identifikatsiya vositasi sifatida ham tadqiq qilinmoqda. Ushbu maqola EKGni qayta ishlashda namuna tanib olish metodologiyalariga bag‘ishlangan bo‘lib, ayniqsa Sun’iy neyron tarmoqlari (ANN) va tayanch vektor mashinalari (SVM) keng qo‘llanishi ko‘rib chiqiladi.

References

1. AbuKhousa E, Campbell P. Predictive data mining to support clinical decisions: An overview of heart disease prediction systems. Conf. Proc. IEEE International Conference on Innovations in Information Technology, 2012, 267–272.

2. Lobodzinski SS , Jadalla AA. Integrated heart failure telemonitoring system for homecare. Cardiol J, 2010, 17(2), 200–204.

3. Christov I, Jekova I, Bortolan G. Premature ventricular contraction classification by the Kth nearestneighbours rule. Physiol Meas, 2005, 26(1):123–130.

4. Meau YP, Ibrahim F, Narainasamy SAL, Omar R. Intelligent classification of electrocardiogram (ECG) signal using extended Kalman Filter (EKF) based neuro fuzzy system. Comput Methods Programs Biomed, 2006, 82(2):157–168.

5. Sameni R, Shamsollahi MB, Jutten C, Clifford GD. Anonlinear Bayesian filtering framework for ECG denoising. IEEE Trans Biomed Eng, 2007, 54(12):2172–2185.

6. Welch TD, Yang EH, Reeder GS, Gersh BJ. Modern management of acute myocardial infarction. Curr Probl Cardiol, 2012, 37(7):237–310.

7. Karjalainen J, Viitasalo M, Mänttäri M, Manninen V. Relation between QT intervals and heart rates from 40 to 120 beats/min in rest electrocardiograms of men and a simple method to adjust QT interval values. J. Am. Coll. Cardiol., 1994, 23(7):1547–1553.

8. Al-Khatib SM. What clinicians should know about the QT interval. JAMA, 2003, 289(16):2120–2127.

9. Christov I, Bortolan G. Ranking of pattern recognition parameters for premature ventricular contractions classification by neural networks- Physiol Meas, 2004, 25(5):1281–1290.

10. Martis RJ, Acharya UR, Ray AK, Chakraborty C. Application of higher order cumulants to ECG signals for the cardiac health diagnosis. Conf Proc IEEE Eng Med Biol Soc, 2011, 1697–1700.