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Comparison of Machine Learning Methods for the Arterial Hypertension Diagnostics
Research output
:
Contribution to journal
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Article
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peer-review
Faculty of Radio Electronics and Communications
Institute of Radioelectronics and Information Technology
Overview
Cite this
DOI
https://doi.org/10.1155/2017/5985479
Final published version
Vladimir S. Kublanov
Anton Yu. Dolganov
David Belo
Hugo Gamboa
Original language
English
Article number
5985479
Number of pages
13
Journal
Applied bionics and biomechanics
DOIs
https://doi.org/10.1155/2017/5985479
Publication status
Published -
2017
Research areas
EMPIRICAL MODE DECOMPOSITION, OBSTRUCTIVE SLEEP-APNEA, HEART-RATE-VARIABILITY, ECG, DYNAMICS, SYSTEM, HEALTH
ASJC Scopus subject areas
Biotechnology
Medicine (miscellaneous)
Bioengineering
Biomedical Engineering
WoS ResearchAreas Categories
Engineering, Biomedical
Robotics
ID: 2040012