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https://dspace.chmnu.edu.ua/jspui/handle/123456789/1780
Title: | Asleep Adults' Breathing Patterns via Data Mining of Electromyograms |
Authors: | Chuiko, G. Dvornik, O. Darnapuk, Y. Honcharov, D. Yaremchuk, O. |
Keywords: | breathing patterns data mining decision-tree electromyogram machine learning |
Issue Date: | 2023 |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Abstract: | A study used Machine Learning to identify potential sleep disturbances by analyzing abdominal electromyograms and breathing patterns in sleeping adults. The median and peak values of envelopes of electromyograms have been used as diagnostic signs of breathing patterns. The report suggests using visual classifiers, like decision trees, to make the diagnostic process more accessible for clinicians unfamiliar with Machine Learning. The duly preprocessed abdominal electromyograms allow the forecast of the breathing pattern by decision trees with a precision of up to 0.848. |
Description: | Chuiko, G., Dvornik, O., Darnapuk, Y., Honcharov, D., & Yaremchuk, O. (2023). Asleep Adults' Breathing Patterns via Data Mining of Electromyograms. Proceedings of the IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS, 550-554. IEEE. Dortmund. DOI: 10.1109/IDAACS58523.2023.10348674 |
URI: | https://ieeexplore.ieee.org/document/10348674 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184829246&doi=10.1109%2fIDAACS58523.2023.10348674&partnerID https://dspace.chmnu.edu.ua/jspui/handle/123456789/1780 |
ISBN: | 979-835035805-6 |
ISSN: | 27704262 |
Appears in Collections: | Публікації науково-педагогічних працівників ЧНУ імені Петра Могили у БД Scopus |
Files in This Item:
File | Description | Size | Format | |
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Chuiko, G., Dvornik, O., Darnapuk, Y., Honcharov, D., Yaremchuk, O..pdf | 59.51 kB | Adobe PDF | View/Open |
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