Ensemble empirical mode decomposition based feature enhancement of cardio signals.

This paper presents an application of ensemble empirical mode decomposition method for enhancement of specific biological signal features. The application for two types of cardiological signals is presented in this article. Detection of fiducial points is a routine task for analyzing these signals.

Algorithms and results of eye tissues differentiation based on RF ultrasound.

Algorithms and software were developed for analysis of B-scan ultrasonic signals acquired from commercial diagnostic ultrasound system. The algorithms process raw ultrasonic signals in backscattered spectrum domain, which is obtained using two time-frequency methods: short-time Fourier and Hilbert-Huang transformations. The signals from selected regions of eye tissues are characterized by parameters: B-scan envelope amplitude, approximated spectral slope, approximated spectral intercept, mean instantaneous frequency, mean instantaneous bandwidth, and parameters of Nakagami distribution characterizing Hilbert-Huang transformation output.

Multiscale detection of transient evoked otoacoustic emissions.

This paper presents a unified approach to multiscale detection of transient evoked otoacoustic emissions (TEOAEs). Using statistical detection theory, it is shown that the optimal detector involves a time windowing operation where the window can be estimated from ensemble correlation information. The detector performs adaptive splitting of the signal into different frequency bands using either wavelet or wavelet packet decomposition.

Development of methods for monitoring of electrocardiograms, impedance cardiograms and seismocardiograms.

Cardiovascular diseases remain the main cause of morbidity and mortality in Lithuania, and early detection of those diseases is one of opportunities to reduce this problem. Usage of information technologies including clinical decision support systems, telemedicine networks and computer analysis of cardiac signals, can serve this purpose. Therefore, the presented paper deals with development of a system for the analysis of 12-lead electrocardiograms (ECG), impedance cardiograms (ICG) and seismocardiograms (SCG) in the aim to use it in a wider cardiologic teleconsultative system.

Detection of transient-evoked otoacoustic emissions and the design of time windows.

A new approach to the design of time windows is presented for detection of transient-evoked otoacoustic emissions (TEOAE). The windows are designed with reference to a minimum mean square error criterion involving the correlation properties of the ensemble of responses. Latency information is introduced in the detection process by windowing at different scales that result from wavelet decomposition.