{'fraction_non_alphanumeric': 0.017578125, 'fraction_numerical': 0.0, 'mean_word_length': 5.2560975609756095, '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}}
Fetal ECG extraction from abdominal ECG using RLS based adaptive algorithms

The fetal electrocardiogram (fECG) extraction from the composite ECG signal recorded non-invasively is discussed. The main point of this paper is to introduce some of the most used Recursive least squares (RLS) based FIR Adaptive Filters, and to determine which of them is the most effective under varying circumstances. Experimental results suggest the optimal settings for the adaptive system useful for future research in this area.