Preprocessing for lessening the influence of eye artifacts in eeg analysis

Autor:	Villena, Alejandro, Tardon, Lorenzo J., Barbancho, Isabel, Barbancho, Ana M., Brattico, Elvira, Haumann, Niels T.
Rok vydání:	2024
Předmět:	Electrical Engineering and Systems Science - Signal Processing Computer Science - Information Retrieval 68 62 J.3 I.5
Zdroj:	Appl. Sci. 2019, 9, 1757
Druh dokumentu:	Working Paper
DOI:	10.3390/app9091757
Popis:	We dealt with the problem of artifacts in eeg signals in relation to the usage of lengthy trials. Specifically, we considered eye artifacts found in eeg signals,their influence in the analysis of the data and alternatives to diminish their impact on later studies of brain activity on lengthy tasks. We proposed a scheme of partial rejection on independent signal components, providesd a method to extract eeg signal components with diministhed influence of eye artifacts, and assess the importance of using artifact free signal excerpts to extract signal components in order to analyze brain activity in a musical context. Comment: 16 pages, journal article
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2411.12092 Zobrazit plný text záznamu View this record from Arxiv