Recursive digital filter for fast visual evoked potential estimation and classification

R. Palaniappan; P. Raveendran

doi:10.1049/el:20010640

Recursive digital filter for fast visual evoked potential estimation and classification

R. Palaniappan, P. Raveendran

Research output: Contribution to journal › Article › Research › peer-review

3 Citations (Scopus)

Abstract

Generally, visual evoked potential (VEP) estimation requires power spectrum computation. Here VEP is estimated using a recursive digital filter, which is faster and simpler to design. The method assumes VEP can be represented by a 40 Hz spectrum and the filter extracts a 40 Hz signal in the time domain, circumventing the normal procedure of power spectrum computation the normal procedure of power spectrum computation the normal procedure of power spectrum computation. Experimental results validate the method for discriminating alcoholics from control subjects.

Original language	English
Pages (from-to)	990-992
Number of pages	3
Journal	Electronics Letters
Volume	37
Issue number	15
DOIs	https://doi.org/10.1049/el:20010640
Publication status	Published - 19 Jul 2001
Externally published	Yes

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abstract = "Generally, visual evoked potential (VEP) estimation requires power spectrum computation. Here VEP is estimated using a recursive digital filter, which is faster and simpler to design. The method assumes VEP can be represented by a 40 Hz spectrum and the filter extracts a 40 Hz signal in the time domain, circumventing the normal procedure of power spectrum computation the normal procedure of power spectrum computation the normal procedure of power spectrum computation. Experimental results validate the method for discriminating alcoholics from control subjects.",

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AU - Raveendran, P.

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AB - Generally, visual evoked potential (VEP) estimation requires power spectrum computation. Here VEP is estimated using a recursive digital filter, which is faster and simpler to design. The method assumes VEP can be represented by a 40 Hz spectrum and the filter extracts a 40 Hz signal in the time domain, circumventing the normal procedure of power spectrum computation the normal procedure of power spectrum computation the normal procedure of power spectrum computation. Experimental results validate the method for discriminating alcoholics from control subjects.

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Recursive digital filter for fast visual evoked potential estimation and classification

Abstract

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