title: EEG features extraction using neuro-fuzzy systems and shift-invariant wavelet transforms for epileptic seizures diagnosing.
abstract: 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.
authors.affiliation: Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran. akhbardeh@yahoo.com
authors.forename: A
authors.initials: A
authors.lastname: Akhbardeh
authors.forename: M
authors.initials: M
authors.lastname: Farrokhi
authors.forename: A
authors.initials: A
authors.lastname: Vahabian Tehrani