nonlinear causal influences assessed by mutual compression entropy

Clicks: 299
ID: 173328
2016
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #16 of 96 articles by views in materials science and engineering c

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Autonomic control of the heart rate was demonstrated to be complex and nonlinear. Respiratory sinus arrhythima plays a crucial role in heart rate vagal modulation. Here we present an approach of assessing nonlinear causal relationships in bivariate time series, called mutual compression entropy (MCE). We applied MCE to cardiorespiratory data of 29 patients with acute schizophrenia and 29 matched controls. The method is based on data compression and estimates to which extend a (target) time series can be compressed regarding another time series (driver). In schizophrenia an elevated sympathetic and reduced parasympathetic heart rate modulation was found. The nonlinear influence of respiration on heart rate variability was demonstrated by a highly significant reduction of MCE (0.816 vs. 0.808, p¡0.01). In healthy subjects MCE was mainly related to sympathovagal balance. We conclude, that this index has the potential to uncover physiological information beyond linear measures.
Reference Key
andy2016currentnonlinear Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Schumann Andy;Fleckenstein Berit;Bär Karl-Jürgen
Journal materials science and engineering c
Year 2016
DOI
10.1515/cdbme-2016-0049
URL
http://www.degruyter.com/view/j/cdbme.2016.2.issue-1/cdbme-2016-0049/cdbme-2016-0049.xml?format=INT
Keywords
heart rate variability complexity symbolic dynamics respiratory sinus arrhythmia

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.