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Detection of AF and I-AVB combined with RR interval and P wave
- Source :
- CISP-BMEI
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- Atrial fibrillation (AF) and First-degree atrioventricular block (I-AVB) are two common arrhythmia diseases, which can lead to different cardiovascular diseases. Therefore, it is of great significance to realize the automatic diagnosis of AF and I-AVB. In this paper, a support vector machine (SVM) automatic detection method based on P-wave and RR interval features was proposed to classify normal (N), AF, and I-AVB. The method consists of three steps: 1) detection of the P wave and R wave reference points in the signal; 2) feature extraction, including analysis of P wave features extracted from the atrial activity and RR interval features extracted from ventricular activity; 3) detection using SVM classifier based on multi-classification strategy. First, the effectiveness of the feature combination was verified on the MIT-BIH AF database, in which the Acc rate was 92.40%, the Se was 96.25%, the Sp was 88.59%, and the F1 measure was 92.66%. The proposed algorithm was verified in China Physiological Signal Challenge 2018 database, and the results showed that the Se was 85.72%, the Sp was 92.38%, and the F1 measurement was 84.28%, with the Acc reaching 84.38%. It can be seen from the results that this method can effectively detect AF and I-AVB in the ECG signal.
- Subjects :
- medicine.medical_specialty
medicine.diagnostic_test
business.industry
0206 medical engineering
Feature extraction
P wave
Atrial fibrillation
02 engineering and technology
030204 cardiovascular system & hematology
medicine.disease
020601 biomedical engineering
Support vector machine
03 medical and health sciences
QRS complex
0302 clinical medicine
Internal medicine
Cardiology
Medicine
business
Lead (electronics)
Atrioventricular block
Electrocardiography
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
- Accession number :
- edsair.doi...........9bea071aca26b4bf99f817febaf5ed45