Effects of TFD Thresholding On EEG Signal Analysis Based On The Local Rényi Entropy (CROSBI ID 650455)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Lerga, Jonatan ; Saulig, Nicoletta ; Lerga, Rebeka ; Milanović, Željka
engleski
Effects of TFD Thresholding On EEG Signal Analysis Based On The Local Rényi Entropy
Analysis of electroencephalographic (EEG) signals using both non-iterative and iterative modifications of the Rényi entropy, called local or short-term Rényi entropy, often requires thresholding in the time-frequency domain. The purpose of this thresholding is to reduce noise and low-energy cross-terms prior to detecting the number of components present in multicomponent EEG signals. However, preset time-frequency threshold value is often chosen empirically. In this paper, a performance analysis of the short-term Rényi entropy based method with regards to the chosen time- frequency threshold is rendered. The method was applied to both noise-free and noisy real-life EEG signals for left and right leg movements verifying the method's sensitivity to time- frequency distribution (TFD) thresholding.
Time-Frequency Signal Analysis, Local Rényi Entropy, EEG signals
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
1-6.
2017.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 2nd International Multidisciplinary Conference on Computer and Energy Science SpliTech 2017
Split:
Podaci o skupu
2nd International Multidisciplinary Conference on Computer and Energy Science SpliTech 2017
predavanje
12.07.2017-14.07.2017
Split, Hrvatska