Discrimination of Parkinsonian tremor from essential tremor using statistical signal characterization of the spectrum of accelerometer signal

A. Hossen*, M. Muthuraman, Z. Al-Hakim, J. Raethjen, G. Deuschl, U. Heute

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةArticleمراجعة النظراء

37 اقتباسات (Scopus)

ملخص

A new technique for discrimination of Parkinson tremor from essential tremor is presented in this paper. This technique is based on Statistical Signal Characterization (SSC) of the spectrum of the accelerometer signal. The data has been recorded for diagnostic purposes in the Department of Neurology of the University of Kiel, Germany. Two sets of data are used. The training set, which consists of 21 essential-tremor (ET) subjects and 19 Parkinson-disease (PD) subjects, is used to obtain the threshold value of the classification factor differentiating between the two subjects. The test data set, which consists of 20 ET and 20 PD subjects, is used to test the technique and evaluate its performance. Three of twelve newly derived SSC parameters show good discrimination results. Specific results of those three parameters on training data and test data are shown in detail. A linear combination of the effects of those parameters on the discrimination results is also included. A total discrimination accuracy of 90% is obtained.

اللغة الأصليةEnglish
الصفحات (من إلى)513-531
عدد الصفحات19
دوريةBio-Medical Materials and Engineering
مستوى الصوت23
رقم الإصدار6
المعرِّفات الرقمية للأشياء
حالة النشرPublished - 2013

ASJC Scopus subject areas

  • ???subjectarea.asjc.2500.2502???
  • ???subjectarea.asjc.2200.2204???

بصمة

أدرس بدقة موضوعات البحث “Discrimination of Parkinsonian tremor from essential tremor using statistical signal characterization of the spectrum of accelerometer signal'. فهما يشكلان معًا بصمة فريدة.

قم بذكر هذا