{'fraction_non_alphanumeric': 0.017543859649122806, 'fraction_numerical': 0.0, 'mean_word_length': 5.7176470588235295, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Detection of Epilepsy Disorder Using Discrete Wavelet Transforms Using MATLABs

EEG (Electroencephalograph) is a technique for identifying neurological disorders. There are various neurological disorders like Epilepsy, brain cancer, etc. Epilepsy is one of the common neurological disorders. In this paper we propose a technique of detecting epilepsy disorder using discrete wavelet transform using MATLAB. The back propagation algorithm is also used in the classification network. This paper also provides a technique of detecting epilepsy disorder with great accuracy.