Presentation of the Indicative Factors of Heart Rate Variability for Hypertension Swift-diagnostics
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- @InProceedings{Dolganov:2019:SIBIRCON,
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author = "Anton Dolganov and Vladimir Kublanov",
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booktitle = "2019 International Multi-Conference on Engineering,
Computer and Information Sciences (SIBIRCON)",
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title = "Presentation of the Indicative Factors of Heart Rate
Variability for Hypertension Swift-diagnostics",
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year = "2019",
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pages = "0428--0431",
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month = oct,
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/SIBIRCON48586.2019.8958298",
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abstract = "The paper describes a visualization methodology of the
indicative factors of the short-term heart rate
variability for the arterial hypertension
express-diagnostics. Biomedical signals were recorded
in the course of the functional studies, which included
rest state, tilt-test state and aftereffect state. Each
state of the functional study was 5 minutes long.
Factors complexes were obtained in earlier studies by
means of the genetic programming application and
quadratic discriminant analysis machine learning
technique. In the article proposed alternative way to
evaluate decision functions of discriminant analysis,
which does not involve matrix multiplication. The
proposed visualization is presented for different
subjects: for volunteers with normal pressure and for
patients, diagnosed with the arterial hypertension. It
was shown, that for different subject's different
factors are `activated' giving an input to the
classification decision. The proposed methodology
allowed to conclude that diagnostically indicative
factors complexes are able to use personalized data of
a patient in diagnostics.",
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notes = "Also known as \cite{8958298}",
- }
Genetic Programming entries for
Anton Dolganov
Vladimir Kublanov
Citations