{'fraction_non_alphanumeric': 0.03940886699507389, 'fraction_numerical': 0.013136288998357963, 'mean_word_length': 5.630434782608695, 'pattern_counts': {'":': 0, '<': 1, '<?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}}
Electroencephalogram Lempel-Ziv Complexity Analysis in Alzheimer's Disease with Different Coarse Graining Techniques

This work explores the possible benefits of adopting k-means as a coarse graining technique (CGT) when measuring electroencephalograms (EEG) complexity using the Lempel-Ziv (LZ) algorithm for the diagnosis of Alzheimer’s disease (AD). A significant (p<0.01) complexity decrease between AD patients and control subjects is identified at Occipital, Parietal and Temporal regions of the brain. An accuracy of 86.36% in P3 electrode is achieved; a higher accuracy value than in previous studies.