New adaptive thresholding-based ECG R-peak detection technique

Lazhar Khriji, Asiya M. Al-Busaidi

نتاج البحث: Conference contribution

4 اقتباسات (Scopus)

ملخص

The QRS complexes (R-peaks) in the electrocardiogram (ECG) signals are essential features as they provide information for the diagnosis of heart diseases. Because detection accuracy is a major concern in clinical practices, most of the detection methods are complex and computationally expensive. However, in ubiquitous healthcare (u-healthcare), the energy consumption is a question; thus, detection time has to be minimized. In this paper, we propose a new intelligent detection algorithm, which minimizes detection time while maintaining a good level of detection performance. Experimental results, in detecting the R-peaks in 30 minutes long records, showed that the proposed algorithm has achieved an Se (sensitivity) of 99.63% and a +P (positive predictivity) of 99.50% outperforming the well-known algorithms from literature.

اللغة الأصليةEnglish
عنوان منشور المضيف4th IEEE Middle East Conference on Biomedical Engineering, MECBME 2018
ناشرIEEE Computer Society
الصفحات147-152
عدد الصفحات6
رقم المعيار الدولي للكتب (الإلكتروني)9781538614617
المعرِّفات الرقمية للأشياء
حالة النشرPublished - يوليو 3 2018
الحدث4th IEEE Middle East Conference on Biomedical Engineering, MECBME 2018 - Tunis, Tunisia
المدة: مارس ٢٨ ٢٠١٨مارس ٣٠ ٢٠١٨

سلسلة المنشورات

الاسمMiddle East Conference on Biomedical Engineering, MECBME
مستوى الصوت2018-March
رقم المعيار الدولي للدوريات (المطبوع)2165-4247
رقم المعيار الدولي للدوريات (الإلكتروني)2165-4255

Other

Other4th IEEE Middle East Conference on Biomedical Engineering, MECBME 2018
الدولة/الإقليمTunisia
المدينةTunis
المدة٣/٢٨/١٨٣/٣٠/١٨

ASJC Scopus subject areas

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