In this paper we propose two mathematical methods for more thoroughly analysis of the electrical activity recordings of some human organs: electrocardiograms, electroencephalograms, electromyograms. The spectrograms obtained through short time Fourier transformation and wavelet transformation may be used to evaluate the degree of similarity and difference between two recordings of a healthy and...

This work explores the possible benefits of adopting k-means as a coarse graining technique (CGT) when measuring electroencephalograms (EEG) complexity using the Lempel-Ziv (LZ) algorithm for the diagnosis of Alzheimer’s disease (AD). A significant (p<0.01) complexity decrease between AD patients and control subjects is identified at Occipital, Parietal and Temporal regions of the brain. An acc...

We describe a technique for fast compression of time series, indexing of compressed series, and retrieval of series similar to a given pattern. The compression procedure identifies “important” points of a series and discards the other points. We use the important points not only for compression, but also for indexing a database of time series. Experiments show the effectiveness of this techniqu...

A power spectrum analysis of electroencephalograms (EEG) for brain computer interface (BCI), which uses pattern recognition technique, is made. A study of changes of the power spectrum in the range 8-13 Hz along the time during “inactive state” and “imaginary rotation” mental tasks’ performance is made. The noticed regularities will be used to rise the quality of the EEG excerpts used for menta...