{'fraction_non_alphanumeric': 0.013157894736842105, 'fraction_numerical': 0.0, 'mean_word_length': 5.339743589743589, '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}}
Accurate, wearable, wireless and pinless blood glucose measurement system modeled by a set of fractional differential equations

A wearable, wireless and pinless blood glucose measurement system is useful for the general public. This is not only because the system can monitor the blood glucose concentration of a human and provide a warning message when an abnormal level is detected, but also the system is portable and do not cause any pain to the consumers due to its wearable, wireless and pinless nature. However, achieving a high accuracy measurement is the most challenging issue of the system. This paper models the relationship between the blood glucose concentration and the measurements by a set of fractional differential equations. Since the fractional differential equation model is a generalization of the integer differential equation model, the accuracy of the model can be significantly improved. Experimental results verifies the outperformance of our proposed system.