Comput Methods Programs Biomed - Like/dislike analysis using EEG: determination of most discriminative channels and frequencies.

Tópicos

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Resumo

In this study, we have analyzed electroencephalography (EEG) signals to investigate the following issues, (i) which frequencies and EEG channels could be relatively better indicators of preference (like or dislike decisions) of consumer products, (ii) timing characteristic of "like" decisions during such mental processes. For this purpose, we have obtained multichannel EEG recordings from 15 subjects, during total of 16 epochs of 10 s long, while they were presented with some shoe photographs. When they liked a specific shoe, they pressed on a button and marked the time of this activity and the particular epoch was labeled as a LIKE case. No button press meant that the subject did not like the particular shoe that was displayed and corresponding epoch designated as a DISLIKE case. After preprocessing, power spectral density (PSD) of EEG data was estimated at different frequencies (4, 5, ?, 40 Hz) using the Burg method, for each epoch corresponding to one shoe presentation. Each subject's data consisted of normalized PSD values (NPVs) from all LIKE and DISLIKE cases/epochs coming from all 19 EEG channels. In order to determine the most discriminative frequencies and channels, we have utilized logistic regression, where LIKE/DISLIKE status was used as a categorical (binary) response variable and corresponding NPVs were the continuously valued input variables or predictors. We observed that when all the NPVs (total of 37) are used as predictors, the regression problem was becoming ill-posed due to large number of predictors (compared to the number of samples) and high correlation among predictors. To circumvent this issue, we have divided the frequency band into low frequency (LF) 4-19 Hz and high frequency (HF) 20-40 Hz bands and analyzed the influence of the NPV in these bands separately. Then, using the p-values that indicate how significantly estimated predictor weights are different than zero, we have determined the NPVs and channels that are more influential in determining the outcome, i.e., like/dislike decision. In the LF band, 4 and 5 Hz were found to be the most discriminative frequencies (MDFs). In the HF band, none of the frequencies seemed offer significant information. When both male and female data was used, in the LF band, a frontal channel on the left (F7-A1) and a temporal channel on the right (T6-A2) were found to be the most discriminative channels (MDCs). In the HF band, MDCs were central (Cz-A1) and occipital on the left (O1-A1) channels. The results of like timings suggest that male and female behavior for this set of stimulant images were similar.

Resumo Limpo

studi analyz electroencephalographi eeg signal investig follow issu frequenc eeg channel relat better indic prefer like dislik decis consum product ii time characterist like decis mental process purpos obtain multichannel eeg record subject total epoch s long present shoe photograph like specif shoe press button mark time activ particular epoch label like case button press meant subject like particular shoe display correspond epoch design dislik case preprocess power spectral densiti psd eeg data estim differ frequenc hz use burg method epoch correspond one shoe present subject data consist normal psd valu npvs like dislik casesepoch come eeg channel order determin discrimin frequenc channel util logist regress likedislik status use categor binari respons variabl correspond npvs continu valu input variabl predictor observ npvs total use predictor regress problem becom illpos due larg number predictor compar number sampl high correl among predictor circumv issu divid frequenc band low frequenc lf hz high frequenc hf hz band analyz influenc npv band separ use pvalu indic signific estim predictor weight differ zero determin npvs channel influenti determin outcom ie likedislik decis lf band hz found discrimin frequenc mdfs hf band none frequenc seem offer signific inform male femal data use lf band frontal channel left fa tempor channel right ta found discrimin channel mdcs hf band mdcs central cza occipit left oa channel result like time suggest male femal behavior set stimul imag similar

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