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Journals / Journal of Human Rhythm / 2026 / Cilt: 4 Sayı: 3

Statistical Analysis of The Relationship Between Chronic Obstructive Pulmonary Disease and Electrocardiogram Signal

Kronik Obstrüktif Akciğer Hastalığı ile Elektrokardiyogram Sinyali Arasındaki İlişkinin İstatistiksel Olarak İncelenmesi

Muhammet Kürşat Uçar
İnanç Moran
Deniz Turgay Altılar
Cahit Bilgin
Mehmet Recep Bozkurt
Pages
142–149
Publication Date
2018-09-28
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Conclusion According to the results, we think that a doctor can diagnose Chronic Obstructive Pulmonary Disease using the electrocardiogram signal.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Object Chronic Obstructive Pulmonary Disease is a dangerous disease that causes diffi culty breathing.
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Key Findings & Data:In the study, we extracted 24 time domain features and analyzed statistically from the electrocardiogram signal.
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Conclusion & Impact:Conclusion According to the results, we think that a doctor can diagnose Chronic Obstructive Pulmonary Disease using the electrocardiogram signal.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:EKG · SFT · KOAH

Abstract

Object Chronic Obstructive Pulmonary Disease is a dangerous disease that causes diffi culty breathing. The diagnosis of the disease made by the physician with the spirometer at the hospital. The device should be used by a technician. After diagnosis, the doctor should follow up with regularly examination using spirometer. Therefore, there is a need new method that portable, spirometer alternative and easy to use. Methods This study has proposed the use of an electrocardiogram signal for alternative diagnosis of the spirometer. In the study, we extracted 24 time domain features and analyzed statistically from the electrocardiogram signal. Results As a result of the analysis, we determined that 20 of 24 features were distinctive for control and patient groups (p<0.05). Conclusion According to the results, we think that a doctor can diagnose Chronic Obstructive Pulmonary Disease using the electrocardiogram signal.

Özet

Amaç Kronik Obstrüktif Akciğer Hastalığı solunum zorluğuna sebep olan tehlikeli bir hastalıktır. Hastalık spirometre cihazı ile doktor tarafından teşhis edilebilir. Cihazı teknisyen kullanmalıdır. Teşhis sadece hastanede konulabilir. Teşhis sonrası düzenli spirometre kontrolleri ile hastalığın takip edilmesi gerekir. Bu yüzden taşınabilir spirometreye alternatif ve kullanımı kolay yeni yöntemlere ihtiyaç vardır. Metod Bu çalışmada, spirometreye alternatif teşhis için Elektrokardiyogram sinyali kullanımı önerilmiştir. Çalışmada, Elektrokardiyogram sinyalinden 24 zaman domeni özelliği çıkarılmış ve istatistiksel olarak analiz edilmiştir. Sonuçlar: Analiz sonucunda, 24 özellikten 20 özelliğin kontrol ve hasta grupları için ayırt edici olduğu tespit edildi (p<0.05). Bulgular Sonuçlara göre, Elektrokardiyogram sinyalinin Kronik Obstrüktif Akciğer Hastalığı teşhisi için kullanılabileceği düşünülmektedir. Sonuç Cyclopentolate had similar effects in adult and pediatric age groups in terms of anterior chamber changes. There was an increase in CMT in pediatric group whereas no change in adult group. A decrease was observed in CSCT value. It was seen that effects of study drug on choroidal thickness was more prominent in pediatric age group.

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Cite This Article

Uçar, M. K., Moran, İ., Altılar, D. T., Bilgin, C., Bozkurt, M. R. (2018). Statistical Analysis of The Relationship Between Chronic Obstructive Pulmonary Disease and Electrocardiogram Signal. Journal of Human Rhythm, Cilt: 4 Sayı: 3, 142–149. https://ajindex.com/articles/1592439

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