Filtering multifocal VEP signals using Prony's method.
Comput Biol Med
; 56: 13-9, 2015 Jan.
Article
em En
| MEDLINE
| ID: mdl-25464344
ABSTRACT
BACKGROUND:
This paper describes use of Prony's method as a filter applied to multifocal visual-evoked-potential (mfVEP) signals. Prony's method can be viewed as an extension of Fourier analysis that allows a signal to be decomposed into a linear combination of functions with different amplitudes, damping factors, frequencies and phase angles.METHOD:
By selecting Prony method parameters, a frequency filter has been developed which improves signal-to-noise ratio (SNR). Three different criteria were applied to data recorded from control subjects to produce three separate datasets unfiltered raw data, data filtered using the traditional method (fast Fourier transform FFT), and data filtered using Prony's method.RESULTS:
Filtering using Prony's method improved the signals' original SNR by 44.52%, while the FFT filter improved the SNR by 33.56%. The extent to which signal can be separated from noise was analysed using receiver-operating-characteristic (ROC) curves. The area under the curve (AUC) was greater in the signals filtered using Prony's method than in the original signals or in those filtered using the FFT.CONCLUSION:
filtering using Prony's method improves the quality of mfVEP signal pre-processing when compared with the original signals, or with those filtered using the FFT.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Processamento de Sinais Assistido por Computador
/
Eletroencefalografia
/
Potenciais Evocados Visuais
Tipo de estudo:
Prognostic_studies
Limite:
Adult
/
Female
/
Humans
/
Male
Idioma:
En
Revista:
Comput Biol Med
Ano de publicação:
2015
Tipo de documento:
Article
País de afiliação:
Espanha