BMFLC adaptive filter for detecting SSVEP in noisy EEG recordings

Sammy Mahdi; Simeon Spasov; Alexander J. Casson

BMFLC adaptive filter for detecting SSVEP in noisy EEG recordings

Sammy Mahdi, Simeon Spasov, Alexander J. Casson

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Abstract

Low-cost BCI systems often display poor SNR thus introducing a need for further signal conditioning. This paper presents a BMFLC (Band-limited Multiple Fourier Linear Combiner) adaptive filter for isolating a SSVEP waveform from EEG signals with power line interference and other artifacts.

Original language	English
Title of host publication	host publication
Publication status	Published - Aug 2015
Event	Engineering in Medicine and Biology Society (EMBC), 2015 Annual International Conference of the IEEE - Milan Duration: 1 Jan 1824 → …

Conference

Conference	Engineering in Medicine and Biology Society (EMBC), 2015 Annual International Conference of the IEEE
City	Milan
Period	1/01/24 → …

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@inproceedings{a753095338a947ef91778a6d724bbbef,

title = "BMFLC adaptive filter for detecting SSVEP in noisy EEG recordings",

abstract = "Low-cost BCI systems often display poor SNR thus introducing a need for further signal conditioning. This paper presents a BMFLC (Band-limited Multiple Fourier Linear Combiner) adaptive filter for isolating a SSVEP waveform from EEG signals with power line interference and other artifacts.",

author = "Sammy Mahdi and Simeon Spasov and Casson, {Alexander J.}",

year = "2015",

month = aug,

language = "English",

booktitle = "host publication",

note = "Engineering in Medicine and Biology Society (EMBC), 2015 Annual International Conference of the IEEE ; Conference date: 01-01-1824",

}

TY - GEN

T1 - BMFLC adaptive filter for detecting SSVEP in noisy EEG recordings

AU - Mahdi, Sammy

AU - Spasov, Simeon

AU - Casson, Alexander J.

PY - 2015/8

Y1 - 2015/8

N2 - Low-cost BCI systems often display poor SNR thus introducing a need for further signal conditioning. This paper presents a BMFLC (Band-limited Multiple Fourier Linear Combiner) adaptive filter for isolating a SSVEP waveform from EEG signals with power line interference and other artifacts.

AB - Low-cost BCI systems often display poor SNR thus introducing a need for further signal conditioning. This paper presents a BMFLC (Band-limited Multiple Fourier Linear Combiner) adaptive filter for isolating a SSVEP waveform from EEG signals with power line interference and other artifacts.

M3 - Conference contribution

BT - host publication

T2 - Engineering in Medicine and Biology Society (EMBC), 2015 Annual International Conference of the IEEE

Y2 - 1 January 1824

ER -

BMFLC adaptive filter for detecting SSVEP in noisy EEG recordings

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