{'fraction_non_alphanumeric': 0.022658610271903322, 'fraction_numerical': 0.0, 'mean_word_length': 5.314285714285714, '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}}
Adaptive motion artifacts reduction algorithm for ECG signal in textile wearable sensor

: For ubiquitous healthcare system, it is very important to measure a bio-signal without any discomfort. The electro-conductive fabric can be a good application for biomedical sensor. However, it is diﬃcult to measure the bio-signal because of its sensitivity variation caused by contact impedance change, especially by motion of the subject. In this paper, adaptive noise reduction algorithm on motion artifacts is described to measure electro-cardiogram using lead II conﬁguration conducted with both Ag/AgCl electrode as a reference signal and electro-conductive fabric.