Kronik obstruktif akciǧer hastaliǧinin elektrokardiyografi sinyali ile kural tabanli teşhis edilmesi

Muhammed Kursad Ucar; Inanc Moran; Deniz Turgay Altilar; Cahit Bilgin; Mehmet Recep Bozkurt

doi:10.1109/EBBT.2018.8391462

Kronik obstruktif akciǧer hastaliǧinin elektrokardiyografi sinyali ile kural tabanli teşhis edilmesi

Translated title of the contribution: Rule-based diagnosis of chronic obstructive pulmonary disease with electrocardiogram signal

Muhammed Kursad Ucar, Inanc Moran, Deniz Turgay Altilar, Cahit Bilgin, Mehmet Recep Bozkurt

Department of Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

Chronic Obstructive Pulmonary Disease is a fatal disease caused by problems in the airways. Diagnosis is made by the doctor with spirometer tests. The tests need to be done at the hospital. After diagnosis, the disease should be monitored regularly. Due to the laboriousness of the spirometer method, new diagnostic methods are needed to be developed. In the study, it is proposed a new diagnostic system that a rule-based using Electrocardiogram (ECG) signal. According to the study flow, 24 features were determined from ECGs belonging to the control and patient subjects. Then, the decision tree classification process was developed. According to the classification results, the disease can be diagnosed with an accuracy of 93.890%. According to the results, it is thought that the diagnosis of Chronic Obstructive Pulmonary Disease can be done with ECG.

Translated title of the contribution	Rule-based diagnosis of chronic obstructive pulmonary disease with electrocardiogram signal
Original language	Turkish
Title of host publication	2018 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781538651353
DOIs	https://doi.org/10.1109/EBBT.2018.8391462
Publication status	Published - 20 Jun 2018
Event	4th Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018 - Istanbul, Turkey Duration: 18 Apr 2018 → 19 Apr 2018

Publication series

Name	2018 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018

Conference

Conference	4th Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018
Country/Territory	Turkey
City	Istanbul
Period	18/04/18 → 19/04/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Access to Document

10.1109/EBBT.2018.8391462

Cite this

Ucar, M. K., Moran, I., Altilar, D. T., Bilgin, C., & Bozkurt, M. R. (2018). Kronik obstruktif akciǧer hastaliǧinin elektrokardiyografi sinyali ile kural tabanli teşhis edilmesi. In 2018 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018 (pp. 1-5). (2018 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EBBT.2018.8391462

Ucar, Muhammed Kursad ; Moran, Inanc ; Altilar, Deniz Turgay et al. / Kronik obstruktif akciǧer hastaliǧinin elektrokardiyografi sinyali ile kural tabanli teşhis edilmesi. 2018 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-5 (2018 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018).

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title = "Kronik obstruktif akciǧer hastaliǧinin elektrokardiyografi sinyali ile kural tabanli te{\c s}his edilmesi",

abstract = "Chronic Obstructive Pulmonary Disease is a fatal disease caused by problems in the airways. Diagnosis is made by the doctor with spirometer tests. The tests need to be done at the hospital. After diagnosis, the disease should be monitored regularly. Due to the laboriousness of the spirometer method, new diagnostic methods are needed to be developed. In the study, it is proposed a new diagnostic system that a rule-based using Electrocardiogram (ECG) signal. According to the study flow, 24 features were determined from ECGs belonging to the control and patient subjects. Then, the decision tree classification process was developed. According to the classification results, the disease can be diagnosed with an accuracy of 93.890%. According to the results, it is thought that the diagnosis of Chronic Obstructive Pulmonary Disease can be done with ECG.",

keywords = "Chronic Obstructive Pulmonary Disease, Decision Trees, Electro, cardiogram, Rule Based Disease Diagnosis",

author = "Ucar, {Muhammed Kursad} and Inanc Moran and Altilar, {Deniz Turgay} and Cahit Bilgin and Bozkurt, {Mehmet Recep}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 4th Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018 ; Conference date: 18-04-2018 Through 19-04-2018",

year = "2018",

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doi = "10.1109/EBBT.2018.8391462",

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Ucar, MK, Moran, I, Altilar, DT, Bilgin, C & Bozkurt, MR 2018, Kronik obstruktif akciǧer hastaliǧinin elektrokardiyografi sinyali ile kural tabanli teşhis edilmesi. in 2018 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018. 2018 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 4th Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018, Istanbul, Turkey, 18/04/18. https://doi.org/10.1109/EBBT.2018.8391462

Kronik obstruktif akciǧer hastaliǧinin elektrokardiyografi sinyali ile kural tabanli teşhis edilmesi. / Ucar, Muhammed Kursad; Moran, Inanc; Altilar, Deniz Turgay et al.
2018 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-5 (2018 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Kronik obstruktif akciǧer hastaliǧinin elektrokardiyografi sinyali ile kural tabanli teşhis edilmesi

AU - Ucar, Muhammed Kursad

AU - Moran, Inanc

AU - Altilar, Deniz Turgay

AU - Bilgin, Cahit

AU - Bozkurt, Mehmet Recep

PY - 2018/6/20

Y1 - 2018/6/20

N2 - Chronic Obstructive Pulmonary Disease is a fatal disease caused by problems in the airways. Diagnosis is made by the doctor with spirometer tests. The tests need to be done at the hospital. After diagnosis, the disease should be monitored regularly. Due to the laboriousness of the spirometer method, new diagnostic methods are needed to be developed. In the study, it is proposed a new diagnostic system that a rule-based using Electrocardiogram (ECG) signal. According to the study flow, 24 features were determined from ECGs belonging to the control and patient subjects. Then, the decision tree classification process was developed. According to the classification results, the disease can be diagnosed with an accuracy of 93.890%. According to the results, it is thought that the diagnosis of Chronic Obstructive Pulmonary Disease can be done with ECG.

AB - Chronic Obstructive Pulmonary Disease is a fatal disease caused by problems in the airways. Diagnosis is made by the doctor with spirometer tests. The tests need to be done at the hospital. After diagnosis, the disease should be monitored regularly. Due to the laboriousness of the spirometer method, new diagnostic methods are needed to be developed. In the study, it is proposed a new diagnostic system that a rule-based using Electrocardiogram (ECG) signal. According to the study flow, 24 features were determined from ECGs belonging to the control and patient subjects. Then, the decision tree classification process was developed. According to the classification results, the disease can be diagnosed with an accuracy of 93.890%. According to the results, it is thought that the diagnosis of Chronic Obstructive Pulmonary Disease can be done with ECG.

KW - Chronic Obstructive Pulmonary Disease

KW - Decision Trees

KW - Electro, cardiogram

KW - Rule Based Disease Diagnosis

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PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 18 April 2018 through 19 April 2018

ER -

Ucar MK, Moran I, Altilar DT, Bilgin C, Bozkurt MR. Kronik obstruktif akciǧer hastaliǧinin elektrokardiyografi sinyali ile kural tabanli teşhis edilmesi. In 2018 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-5. (2018 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018). doi: 10.1109/EBBT.2018.8391462

Kronik obstruktif akciǧer hastaliǧinin elektrokardiyografi sinyali ile kural tabanli teşhis edilmesi

Abstract

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