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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

Lerga, Jonatan ; Saulig, Nicoletta ; Lerga, Rebeka ; Milanović, Željka Effects of TFD Thresholding On EEG Signal Analysis Based On The Local Rényi Entropy // Proceedings of the 2nd International Multidisciplinary Conference on Computer and Energy Science SpliTech 2017. Split, 2017. str. 1-6

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

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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

Povezanost rada

Elektrotehnika, Računarstvo