Preliminary Report of Detecting Microembolic Signals in Transcranial Doppler Time Series With Nonlinear Forecasting

Preliminary report of detecting microembolic signals in transcranial Doppler time series with nonlinear forecasting.

BACKGROUND AND PURPOSE Most algorithms used for automatic detection of microembolic signals (MES) are based on power spectral analysis of the Doppler shift. However, controversies exist as to whether these algorithms can replace the human expert. Therefore, a different algorithm was applied that takes advantage of the periodicity of the MES. This so-called nonlinear forecasting (NLF) is able to...

Doppler Microembolic Signals in Behcet\'s Disease with Nervous System Involvement

Background: Behçet’s disease (BD) is a multisystemic inflammatory vasculitis of unknown etiology, and vasculitis being its major pathological feature. Objectives: We studied the prevalence of microembolic signals (MES) in patients with diagnosis Behçet's disease. We also tried to determine the frequency of MES in BD patients with or without neurological involvement. Mater...

comparison of blood flow velocity changes in posterior cerebral artery measured with transcranial doppler sonography in migraineurs with visual aura and normal persons after photostimulation

چکیده ندارد.

Nonlinear Time Series in Financial Forecasting

Transcranial Doppler application for risk assessment of stroke in patients with mechanical mitral valve

Introduction: Observing microembolic signals in brain vessels by transcranial Doppler technology is a very common finding in patients with mechanical heart valve. These signals are almost always clinically asymptomatic. The aim of this study was assessment of transcranial Doppler in detecting probability of stroke in patients with mechanical heart valve. Methods: This descriptive study was ca...