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High Order Statistics and Time-Frequency Domain to Classify Heart Sounds for Subjects under Cardiac Stress Test
المؤلفون المشاركون
Moukadem, Ali
Schmidt, Samuel
Dieterlen, Alain
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-05-18
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
This paper considers the problem of classification of the first and the second heart sounds (S1 and S2) under cardiac stress test.
The main objective is to classify these sounds without electrocardiogram (ECG) reference and without taking into consideration the systolic and the diastolic time intervals criterion which can become problematic and useless in several real life settings as severe tachycardia and tachyarrhythmia or in the case of subjects being under cardiac stress activity.
First, the heart sounds are segmented by using a modified time-frequency based envelope.
Then, to distinguish between the first and the second heart sounds, new features, named αopt, β, and γ, based on high order statistics and energy concentration measures of the Stockwell transform (S-transform) are proposed in this study.
A study of the variation of the high frequency content of S1 and S2 over the HR (heart rate) is also discussed.
The proposed features are validated on a database that contains 2636 S1 and S2 sounds corresponding to 62 heart signals and 8 subjects under cardiac stress test collected from healthy subjects.
Results and comparisons with existing methods in the literature show a large superiority for our proposed features.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Moukadem, Ali& Schmidt, Samuel& Dieterlen, Alain. 2015. High Order Statistics and Time-Frequency Domain to Classify Heart Sounds for Subjects under Cardiac Stress Test. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1057815
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Moukadem, Ali…[et al.]. High Order Statistics and Time-Frequency Domain to Classify Heart Sounds for Subjects under Cardiac Stress Test. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-15.
https://search.emarefa.net/detail/BIM-1057815
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Moukadem, Ali& Schmidt, Samuel& Dieterlen, Alain. High Order Statistics and Time-Frequency Domain to Classify Heart Sounds for Subjects under Cardiac Stress Test. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1057815
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1057815
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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