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Modelling of time-varying HRV using locally stationary processes
Lund University.
Kristianstad University, School of Education and Environment, Avdelningen för Psykologi.ORCID iD: 0000-0002-2921-3945
Lund University.
2017 (English)In: Abstract book: at EMBEC'17 & NBC'17, 2017, p. 44-Conference paper, Oral presentation with published abstract (Other academic)
Abstract [en]

Estimates of heart rate variability (HRV), and particularly parameters related to high frequency HRV (HF-HRV), are in-creasingly used as a proxy of cardiac parasympathetic nervous system regulation. Reduced HF-HRV is related to attention deficits, depression, various anxiety disorders, long-term work related stress or burnout, and cardiovascular diseases [1,2]. In this work, a stochastic model, known as

Locally Stationary Processes, [3], is applied to HRV data sequences from 47 test participants. The model parameters are estimated with a novel inference method and regression using a number of available covariates is used to investigate their correlation with the stochastic model parameters.

Place, publisher, year, edition, pages
2017. p. 44-
National Category
Psychology
Identifiers
URN: urn:nbn:se:hkr:diva-18634OAI: oai:DiVA.org:hkr-18634DiVA, id: diva2:1242761
Conference
EMBEC'17 & NBC'17 Tampere, Finland
Available from: 2018-08-29 Created: 2018-08-29 Last updated: 2018-08-29Bibliographically approved

Open Access in DiVA

fulltext(142 kB)7 downloads
File information
File name FULLTEXT01.pdfFile size 142 kBChecksum SHA-512
b038d7e70e99e780f91e4a97e835b213abcbdb1a0f65d284bc03c45c0478ca59158889d636cac63ca27d61c606cc88d6c93a9bbe2507727bc7dfdb564f365839
Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf