Skip to main content
EURASIP Journal on Advances in Signal Processing
Figure 1 | EURASIP Journal on Advances in Signal Processing

Figure 1

From: Removal of muscle artifact from EEG data: comparison between stochastic (ICA and CCA) and deterministic (EMD and wavelet-based) approaches

Figure 1

Example of denoising in the case of simulated data. (Left) Example of the noise-free simulation of EEG data with interictal spike-like activity. These data were generated from the activation of a single patch (5 cm2) located in the superior temporal gyrus. Resulting spikes culminated at electrode T3 (facing the cortical patch). (Right, top) Data after adding real muscle activity (SNR –25 dB) are displayed along with the result of denoising using respectively the CCA, CoM2, 2T-EMD, and DWT algorithms. (Right, bottom) the same noise-free simulation is now displayed after the injection of a lower amount of real muscle activity (SNR –15 dB). The result of denoising for these data is also illustrated.

Back to article page