Özet
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.
Tercüme edilen katkı başlığı | Rule-based diagnosis of chronic obstructive pulmonary disease with electrocardiogram signal |
---|---|
Orijinal dil | Türkçe |
Ana bilgisayar yayını başlığı | 2018 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018 |
Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
Sayfalar | 1-5 |
Sayfa sayısı | 5 |
ISBN (Elektronik) | 9781538651353 |
DOI'lar | |
Yayın durumu | Yayınlandı - 20 Haz 2018 |
Etkinlik | 4th Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018 - Istanbul, Turkey Süre: 18 Nis 2018 → 19 Nis 2018 |
Yayın serisi
Adı | 2018 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018 |
---|
???event.eventtypes.event.conference???
???event.eventtypes.event.conference??? | 4th Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018 |
---|---|
Ülke/Bölge | Turkey |
Şehir | Istanbul |
Periyot | 18/04/18 → 19/04/18 |
Bibliyografik not
Publisher Copyright:© 2018 IEEE.
Keywords
- Chronic Obstructive Pulmonary Disease
- Decision Trees
- Electro, cardiogram
- Rule Based Disease Diagnosis