Comput Methods Programs Biomed - Improvements of Adaptive Filtering by Optimal Projection to filter different artifact types on long duration EEG recordings.

Tópicos

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Resumo

Adaptive Filtering by Optimal Projection (AFOP) is an automatic method for reducing ocular and muscular artifacts on electro-encephalographic (EEG) recordings. This paper presents two additions to this method: an improvement of the stability of ocular artifact filtering and an adaptation of the method for filtering electrode artifacts. With these improvements, it is possible to reduce almost all the current types of artifacts, while preserving brain signals, particularly those characterising epilepsy. This generalised method consists of dividing the signal into several time-frequency windows, and in applying different spatial filters to each. Two steps are required to define one of these spatial filters: the first step consists of defining artifact spatial projection using the Common Spatial Pattern (CSP) method and the second consists of defining EEG spatial projection via regression. For this second step, a progressive orthogonalisation process is proposed to improve stability. This method has been tested on long-duration EEG recordings of epileptic patients. A neurologist quantified the ratio of removed artifacts and the ratio of preserved EEG. Among the 330 artifacted pages used for evaluation, readability was judged better for 78% of pages, equal for 20% of pages, and worse for 2%. Artifact amplitudes were reduced by 80% on average. At the same time, brain sources were preserved in amplitude from 70% to 95% depending on the type of waves (alpha, theta, delta, spikes, etc.). A blind comparison with manual Independent Component Analysis (ICA) was also realised. The results show that this method is competitive and useful for routine clinical practice.

Resumo Limpo

adapt filter optim project afop automat method reduc ocular muscular artifact electroencephalograph eeg record paper present two addit method improv stabil ocular artifact filter adapt method filter electrod artifact improv possibl reduc almost current type artifact preserv brain signal particular characteris epilepsi generalis method consist divid signal sever timefrequ window appli differ spatial filter two step requir defin one spatial filter first step consist defin artifact spatial project use common spatial pattern csp method second consist defin eeg spatial project via regress second step progress orthogonalis process propos improv stabil method test longdur eeg record epilept patient neurologist quantifi ratio remov artifact ratio preserv eeg among artifact page use evalu readabl judg better page equal page wors artifact amplitud reduc averag time brain sourc preserv amplitud depend type wave alpha theta delta spike etc blind comparison manual independ compon analysi ica also realis result show method competit use routin clinic practic

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