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EEG features extraction using neuro-fuzzy systems and shift-invariant wavelet transforms for epileptic seizures diagnosing

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3 Author(s)
Akhbardeh, A. ; Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran ; Farrokhi, M. ; Vahabian Tehrani, A.

Electro-encephalogram spikes classification and latency computing is one of the important tools in epilepsy diagnosing. However, overlapped spikes cause complexity in problem solving. We use neuro-fuzzy systems and shift-invariant wavelet transforms to solve this problem. It has been shown that our suggested procedures have high-resolution and are able to classify and perform latency computing of overlapped spikes.

Published in:

Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE  (Volume:1 )

Date of Conference:

1-5 Sept. 2004