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Detection of Doppler Microembolic Signals Using High Order Statistics
المؤلفون المشاركون
Charara, Jamal
Geryes, Maroun
Hassan, Walid
Mcheick, Ali
Girault, Jean-Marc
Ménigot, Sébastien
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-12-14
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Robust detection of the smallest circulating cerebral microemboli is an efficient way of preventing strokes, which is second cause of mortality worldwide.
Transcranial Doppler ultrasound is widely considered the most convenient system for the detection of microemboli.
The most common standard detection is achieved through the Doppler energy signal and depends on an empirically set constant threshold.
On the other hand, in the past few years, higher order statistics have been an extensive field of research as they represent descriptive statistics that can be used to detect signal outliers.
In this study, we propose new types of microembolic detectors based on the windowed calculation of the third moment skewness and fourth moment kurtosis of the energy signal.
During energy embolus-free periods the distribution of the energy is not altered and the skewness and kurtosis signals do not exhibit any peak values.
In the presence of emboli, the energy distribution is distorted and the skewness and kurtosis signals exhibit peaks, corresponding to the latter emboli.
Applied on real signals, the detection of microemboli through the skewness and kurtosis signals outperformed the detection through standard methods.
The sensitivities and specificities reached 78% and 91% and 80% and 90% for the skewness and kurtosis detectors, respectively.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Geryes, Maroun& Ménigot, Sébastien& Hassan, Walid& Mcheick, Ali& Charara, Jamal& Girault, Jean-Marc. 2016. Detection of Doppler Microembolic Signals Using High Order Statistics. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1100106
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Geryes, Maroun…[et al.]. Detection of Doppler Microembolic Signals Using High Order Statistics. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1100106
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Geryes, Maroun& Ménigot, Sébastien& Hassan, Walid& Mcheick, Ali& Charara, Jamal& Girault, Jean-Marc. Detection of Doppler Microembolic Signals Using High Order Statistics. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1100106
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1100106
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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