Naslov
Effects of TFD Thresholding On EEG Signal Analysis Based On The Local Rényi Entropy

Autori
Lerga, Jonatan ; Saulig, Nicoletta ; Lerga, Rebeka ; Milanović, Željka

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 2nd International Multidisciplinary Conference on Computer and Energy Science SpliTech 2017 / - Split, 2017, 1-6

Skup
2nd International Multidisciplinary Conference on Computer and Energy Science SpliTech 2017

Mjesto i datum
Split, Hrvatska, 12.07.2017. - 14.07.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Time-Frequency Signal Analysis, Local Rényi Entropy, EEG signals

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

POVEZANOST RADA