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Depression recognition according to heart rate variability using Bayesian Networks.

08:00 EDT 11th September 2017 | BioPortfolio

Summary of "Depression recognition according to heart rate variability using Bayesian Networks."

Doctors mainly use scale tests and subjective judgment in the clinical diagnosis of depression. Researches have demonstrated that depression is associated with the dysfunction of the autonomic nervous system (ANS), where its modulation can be evaluated by heart rate variability (HRV). Depression patients have lower HRV than healthy subjects. Therefore, HRV may be used to distinguish depression patients from healthy people.

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Journal Details

This article was published in the following journal.

Name: Journal of psychiatric research
ISSN: 1879-1379
Pages: 282-287

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