چکیده مقاله
Wavelet transform was used to feature extraction of EEG signals during problem solving and rest state Statistical features such as entropy, median, mean, energy, norm, variance and standard deviation were calculated in terms of detailed coefficients and the approximation coefficient of the last decomposition level The EEG signals were recorded during 1 problem solving task and 2 rest state EEGs on 3 midline electrodes Fz, Cz, Pz were analyzed The features determined in the two conditions are clustered Using FCM The results indicate wavelet transform is a usefull approach for determining brain activity in known frequency band considering to cognitive challenges
کلیدواژهها
نویسندگان
Nasrin Rafiei
Department of Electrical and Electronics Engineering Shahrekord University, Shahrekord,Iran
Maryam Taghizadeh
Department of Electrical and Electronics Engineering Shahrekord University, Shahrekord,Iran
Amir Hossein ghaderi
Educational Sciences and Psychology University, Tabriz University, Tabriz,Iran
شیوه ارجاع
Rafiei, Nasrin and Taghizadeh, Maryam and ghaderi, Amir Hossein,1396,Feature Extraction of EEG Signals during Problem Solving and Rest state: an Investigation using Wavelet Transform,Fifth International Conference on Electrical and Computer Engineering with Emphasis on Indigenous Knowledge,Tehran
ارائهشده در
مجموعه مقالات پنجمین کنفرانس بین المللی مهندسی برق و کامپیوتر با تاکید بر دانش بومی19 بهمن 1396 · تهران