Comparison of Smoothing Filters in Analysis of EEG Data for the Medical Diagnostics Purposes.
Sensors (Basel)
; 20(3)2020 Feb 02.
Article
em En
| MEDLINE
| ID: mdl-32024267
ABSTRACT
This paper covers a brief review of both the advantages and disadvantages of the implementation of various smoothing filters in the analysis of electroencephalography (EEG) data for the purpose of potential medical diagnostics. The EEG data are very prone to the occurrence of various internal and external artifacts and signal distortions. In this paper, three types of smoothing filters were compared smooth filter, median filter and Savitzky-Golay filter. The authors of this paper compared those filters and proved their usefulness, as they made the analyzed data more legible for diagnostic purposes. The obtained results were promising, however, the studies on finding perfect filtering methods are still in progress.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Processamento de Sinais Assistido por Computador
/
Encéfalo
/
Eletroencefalografia
Tipo de estudo:
Diagnostic_studies
Limite:
Adult
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Female
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Humans
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Male
Idioma:
En
Revista:
Sensors (Basel)
Ano de publicação:
2020
Tipo de documento:
Article
País de afiliação:
Polônia