Open AccessWindow Processing of EEG Records by the Prony’s Method
Author(s) -
M. V. Elenetz,
Radioelectronics,
М М Немирович-Данченко
Publication year - 2021
Publication title -
doklady tomskogo gosudarstvennogo universiteta sistem upravleniâ i radioèlektroniki
Language(s) - English
Resource type - Journals
ISSN - 1818-0442
DOI - 10.21293/1818-0442-2021-24-2-45-50
Subject(s) - electroencephalography , biometrics , computer science , window (computing) , pattern recognition (psychology) , signal processing , identification (biology) , sliding window protocol , feature extraction , visualization , artificial intelligence , speech recognition , digital signal processing , data mining , psychology , botany , computer hardware , biology , operating system , psychiatry
The paper considers the application of the Prony analysis for processing digital data in a sliding window. The stages of the algorithm are stated; the basic equations are given. On a model example, the features of constructing the Prony spectra are shown. Particular attention is paid to biometric data (EEG recordings). For them, the method of windowing with the extraction and visualization of complex roots is discussed. The possibility of using window processing to identify mental correlates in EEG records is shown and substantiated. Isolation of features in individual sections of the EEG can be of significant importance in the problems of biometric identification