{'fraction_non_alphanumeric': 0.016149068322981366, 'fraction_numerical': 0.004968944099378882, 'mean_word_length': 4.926470588235294, '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}}
Possibilities of Predicting Arterial Pressure by Means of Heart Rate Variability

: The paper shows results of the study which aims to predict values of arterial pressure by means of heart rate variability features. A total list of 64 features was tested, which included features in time and frequency domain, as well as non-linear features. As a means of feature selection, the genetic programming was used. In particular binary encoding was used for generation of features in combinations as well as degree of the polynomial. Data of 50 students-volunteers recorded in sitting position was used. Results of the study suggests that certain heart rate variability features can be used for prediction of the change of arterial pressure. Perspectives and future plans for results improvement were described.