Ventricular ectopic beats classification using Sparse Representation and Gini Index

Hamza Baali, Mostefa Mesbah

نتاج البحث

5 اقتباسات (Scopus)

ملخص

In this study, we consider using sparse representation and the Gini Index (GI) for Arrhythmia classification. Our approach involves, first, designing a separate dictionary for each Arrhythmia class using a set of labeled training QRS complexes. Sparse representations, based on the designed dictionaries, of each new test QRS complex are then calculated. Its class is finally predicted using the winner-takes-all principle; that is, the class associated with the highest GI is chosen. Our experiments showed promising results for the classification of premature ventricular contractions using a patient-specific approach. For many of the subjects considered, our classifier attained accuracies close to 100 % on the test set.

اللغة الأصليةEnglish
عنوان منشور المضيف2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
ناشرInstitute of Electrical and Electronics Engineers Inc.
الصفحات5821-5824
عدد الصفحات4
مستوى الصوت2015-November
رقم المعيار الدولي للكتب (الإلكتروني)9781424492718
المعرِّفات الرقمية للأشياء
حالة النشرPublished - نوفمبر 4 2015
الحدث37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan
المدة: أغسطس ٢٥ ٢٠١٥أغسطس ٢٩ ٢٠١٥

Other

Other37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
الدولة/الإقليمItaly
المدينةMilan
المدة٨/٢٥/١٥٨/٢٩/١٥

ASJC Scopus subject areas

  • ???subjectarea.asjc.1700.1711???
  • ???subjectarea.asjc.2200.2204???
  • ???subjectarea.asjc.1700.1707???
  • ???subjectarea.asjc.2700.2718???

بصمة

أدرس بدقة موضوعات البحث “Ventricular ectopic beats classification using Sparse Representation and Gini Index'. فهما يشكلان معًا بصمة فريدة.

قم بذكر هذا