Clustering Continuous Wavelet Transform Characteristics of Heart Rate Variability through Unsupervised Learning

The analysis and interpretation of physiological signals acquired non-invasively are increasingly important in Smart Health, precision medicine, and medical research. However, this analysis is hampered due to the length, complexity, and inter-subject variation of these signals, and, consequently, di...

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Vydané v:	Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Ročník 2019; s. 4584 - 4587
Hlavní autori:	Wachowiak, Mark P., Moggridge, Jason J., Wachowiak-Smolikova, Renata
Médium:	Konferenčný príspevok.. Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.07.2019
Predmet:	Cluster Analysis Continuous wavelet transforms Convolution Electrocardiography Heart Rate Heart rate variability Humans Time-frequency analysis Unsupervised Machine Learning Wavelet Analysis
ISSN:	1557-170X, 2694-0604, 1558-4615, 2694-0604
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