Biomedical subjects

A Nait-Ali

Publications and source records attributed to A Nait-Ali.

3 recordsLinked to original sources

PubMedDate not supplied

[An approach to modeling the dynamics of vestibular myogenic potentials].

Some problems related with vertigo belong to saccular malfunctions. The purpose of this case study was to analyze the vestibular induced myogenous potentials (VIMP) isolated from responses to an acoustic stimulation of the internal ear. The suggested technique is based on modeling each average response as an autoregression process (AP). The spectral analysis of a singal, representing a temporal evolution of the AP parameters, was shown to be applicable for studying the VIMP time dynamics. The method can be used as an instrument in classifying the vestibular pathologies.

Electromyography↗

PubMedDate not supplied

[Hilbert transform-based modelling of EKG].

Recent developments in modeling methods on the non-linear and non-stationary data, such as electrocardiograms (ECG), have received large attention by the time-frequency analysts. The technique presented in this paper is based on parametrical modeling of the instantaneous module as well as instantaneous phase, estimated directly from each ECG beat. The estimation is adaptive since, the parameters related to a specific ECG beat are calculated from a given reference signal. In order to evaluate the performance of our technique, data recorded from the MIT-BIH arrhythmia database are used.

Algorithms↗

PubMedDate not supplied

[ECG compression method by using multiple polynomial modelling: comparison with wavelet-changing technique].

The proposed ECG compression combined two approaches, ECG beat alignment and polynomial modeling. QRS complexes are firstly detected then aligned in order to reduce high frequency changes from beat to beat. These changes are modeled by means a polynomial projection. ECG from MIT-BIH database are used to evaluate the performances of the proposed technique. A comparison with the wavelet approach is performed by means the compression ratio (CR) versus the RRD curve.

Algorithms↗