Jaswanth0608/Epilepsy_Disorder_Classification_using_EEG_Signals
Engineered an innovative project for epilepsy disorder classification by harnessing EEG signals, attaining an outstanding accuracy rate of 95% in identifying diverse seizure types. Implemented sophisticated signal processing techniques and advanced machine learning algorithms, enhancing the system's precision and efficiency in classification.
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MATLAB
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Last pushed
Oct 12, 2023
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