CLASSIFICATION OF EKG SIGNALS USING ROUGH SETS THEORY

Sedat Telçeken; Rasim Çekik

doi:10.18038/btd-a.13841

EN TR

CLASSIFICATION OF EKG SIGNALS USING ROUGH SETS THEORY

Abstract

Rough sets theory (RST) is a rule-based method used for the analysis and data mining in expert systems such as fuzzy sets. Rough sets organize data sets with missing, inconsistent and ambiguous data and make them suitable for analysis and evaluation. This paper proposes a new rough sets theory -based model for the classification of EKG signals. Missing, unnecessary and inconsistent data sets are encountered mostly in patient data. For correct diagnosis, it is very important to correctly classify and extract rules from these data sets. The application of the proposed method to a data set containing EKG signals improves the running time performance of classification. Additionally, the proposed method requires minimal number of parameters and can be used as an aid for doctors for faster and early diagnosis. EKG signals are classified correctly up to 85% by this model

Keywords

Rough Sets Theory, EKG, Classification, Expert Systems, Big Data Analysis, Data Mining.

References

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Details

Primary Language

English

Subjects

-

Journal Section

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Authors

Sedat Telçeken

Rasim Çekik This is me

Publication Date

May 11, 2015

Submission Date

October 3, 2014

Acceptance Date

-

Published in Issue

Year 2014 Volume: 15 Number: 2

DOI

https://doi.org/10.18038/btd-a.13841

IZ

https://izlik.org/JA27LJ33EC

APA

Telçeken, S., & Çekik, R. (2015). CLASSIFICATION OF EKG SIGNALS USING ROUGH SETS THEORY. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, 15(2), 125-135. https://doi.org/10.18038/btd-a.13841

AMA

1.Telçeken S, Çekik R. CLASSIFICATION OF EKG SIGNALS USING ROUGH SETS THEORY. AUJST-A. 2015;15(2):125-135. doi:10.18038/btd-a.13841

Chicago

Telçeken, Sedat, and Rasim Çekik. 2015. “CLASSIFICATION OF EKG SIGNALS USING ROUGH SETS THEORY”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 15 (2): 125-35. https://doi.org/10.18038/btd-a.13841.

EndNote

Telçeken S, Çekik R (May 1, 2015) CLASSIFICATION OF EKG SIGNALS USING ROUGH SETS THEORY. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 15 2 125–135.

IEEE

[1]S. Telçeken and R. Çekik, “CLASSIFICATION OF EKG SIGNALS USING ROUGH SETS THEORY”, AUJST-A, vol. 15, no. 2, pp. 125–135, May 2015, doi: 10.18038/btd-a.13841.

ISNAD

Telçeken, Sedat - Çekik, Rasim. “CLASSIFICATION OF EKG SIGNALS USING ROUGH SETS THEORY”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 15/2 (May 1, 2015): 125-135. https://doi.org/10.18038/btd-a.13841.

JAMA

1.Telçeken S, Çekik R. CLASSIFICATION OF EKG SIGNALS USING ROUGH SETS THEORY. AUJST-A. 2015;15:125–135.

MLA

Telçeken, Sedat, and Rasim Çekik. “CLASSIFICATION OF EKG SIGNALS USING ROUGH SETS THEORY”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, vol. 15, no. 2, May 2015, pp. 125-3, doi:10.18038/btd-a.13841.

Vancouver

1.Sedat Telçeken, Rasim Çekik. CLASSIFICATION OF EKG SIGNALS USING ROUGH SETS THEORY. AUJST-A. 2015 May 1;15(2):125-3. doi:10.18038/btd-a.13841

CLASSIFICATION OF EKG SIGNALS USING ROUGH SETS THEORY

CLASSIFICATION OF EKG SIGNALS USING ROUGH SETS THEORY

Abstract

Keywords

EKG SİNYALLERİNİN KABA KÜMELER TEORİSİ KULLANILARAK SINIFLANDIRILMASI

Abstract

Keywords

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