Open AccessA new technique for the measurement and assessment of carotid artery wall vibrations using ultrasound RF echoes
Author(s) -
Samrand Sharifi,
Hamid Behnam,
Zahra Alizadeh Sani
Publication year - 2019
Publication title -
turkish journal of electrical engineering and computer sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 30
eISSN - 1303-6203
pISSN - 1300-0632
DOI - 10.3906/elk-1901-216
Subject(s) - approximate entropy , vibration , entropy (arrow of time) , lyapunov exponent , wavelet , chaotic , fractal dimension , ultrasound , carotid arteries , mathematics , arterial wall , acoustics , pattern recognition (psychology) , physics , fractal , artificial intelligence , cardiology , medicine , mathematical analysis , computer science , quantum mechanics
Atherosclerosis is known as the leading cause of heart attacks and brain strokes. One of the symptoms of this disease is the reduction of artery wall motion caused by age. This study presents a novel method to extract high frequency components of wall motion, wall vibrations, based on discrete wavelet transform. The fractal dimension, largest Lyapunov exponent, and spectral entropy are then analyzed to indicate the chaotic behavior in wall vibrations. Phase information from demodulated radiofrequency signals is extracted and the entropy of phase-difference is computed as a statistical measure for better characterization of the artery wall tissue. The results show that these features correlate with age (P $
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