Mohamed Amin Latif

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—Electroencephalogram (EEG) source localization requires a solution to an ill-posed inverse problem. The additional challenge is to solve this problem in the context of multiple moving sources. An effective and simple technique for both separation and localization of EEG sources is therefore proposed by incorporating an algorithmically coupled blind source(More)
A new brain source localization technique using electroencephalograms (EEGs) is investigated in this paper. The information which describes the location of certain known sources is used as the constraint within the proposed blind source separation (BSS) algorithm and leads to a solution to the ill-posed inverse problem of source localization.(More)
An effective and simple algorithm for localization of abnormal sources of the EEG signals within the brain has been developed here. In this method the signals are separated first, then the estimated independent components are lowpass filtered and normalized. In the next stage the correlation values between the estimated sources and the electrode signals are(More)
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