The implementation of recurrent neural networks (RNNs) with the Lyapunov exponents for
Doppler ultrasound signals classification is presented. This study is based on the …

The new method presented in this study was directly based on the consideration that
internal carotid arterial Doppler signals are chaotic signals. This consideration was tested …

The implementation of probabilistic neural networks (PNNs) with the Lyapunov exponents
for Doppler ultrasound signals classification is presented. This study is directly based on the …

Microemboli detection and characterisation have recently received great attention due to its
clinical importance in the management of cerebrovascular disease. The new method …

Ultrasound imaging is commonly used for emergency diagnosis of blunt trauma. Portable
scanners are able to provide adequate imaging in remote and dangerous areas; however …

The new method presented in this study was directly based on the consideration that
ophthalmic arterial Doppler signals are chaotic signals. This consideration was tested …

The objective of the present study is to extract the representative features of the internal
carotid arterial (ICA) Doppler ultrasound signals and to present the accurate classification …

In our study, the nonlinear dynamics of mitral valve Doppler signals from 32 healthy and 28
patients with mitral valve stenosis was evaluated using by the computation of Lyapunov …

Backscatter coefficient is an important parameter to characterize material in medical field.
But there exits no standard method in the measurement. In this article, based on immersion …

Left ventricular hypertrophy (LVH) is an important predictor of cardiovascular morbidity and
mortality. To investigate the feasibility of the myocardial grayscale intensity (GI) normalized …