Sub-band selection approach to artifact suppression from electroencephalography signal using hybrid wavelet transform
نویسندگان
چکیده
This article presents a hybrid wavelet-based algorithm to suppress the ocular artifacts from electroencephalography (EEG) signals. The wavelet transform (HWT) method is designed by combination of discrete decomposition and packet transform. artifact suppression performed selection sub-bands obtained HWT. Fractional Gaussian noise (fGn) used as reference signal select containing artifacts. multichannel EEG decomposed HWT into finite set sub-bands. energies are compared that fGn desired sub-band reconstructed selected consisting EEG. experiments conducted for both simulated real signals study performance proposed algorithm. results with recently developed algorithms suppression. It found performs better than methods in terms metrics computational cost.
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ژورنال
عنوان ژورنال: International Journal of Advanced Robotic Systems
سال: 2021
ISSN: ['1729-8806', '1729-8814']
DOI: https://doi.org/10.1177/1729881421992269