Skip to main navigation Skip to search Skip to main content

An application of principal dynamic modes for HRV signals spectrum decomposition related to the patients after ischemic brain stroke

  • IEEE
  • Silesian University of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The analysis of HRV spectrum, where parasympathetic (PNS) and sympathetic (SNS) nervous systems present their influence suffers from the insufficiency of precise methodology as both mentioned influences have totally nonlinear behavior. Therefore a new approach has recently been proposed, which expands nonlinear system's dynamics into modal components in the system inputs. The most significant system modes may be extracted from such decomposition. This is extremely important to elaborate first and apply a method for separate analysis of both main factors modulating heart rhythm. Linear Altering is not sufficient as mentioned influence appear at the same time and overlaps. Principal Dynamic Modes has been utilized to analyze nonlinear biological systems and can be interpreted as a means to approximate nonlinear systems as linear combination of the Wiener systems.

Original languageEnglish
Title of host publication5th Int. Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd Int. Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008
Pages412-414
Number of pages3
DOIs
Publication statusPublished - 2008
Event5th International Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd International Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008 - Shenzhen, China
Duration: 30 May 200831 May 2008

Publication series

Name5th Int. Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd Int. Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008

Conference

Conference5th International Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd International Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008
Country/TerritoryChina
CityShenzhen
Period30/05/0831/05/08

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

ASJC Scopus subject areas

  • General Computer Science
  • Biomedical Engineering
  • Health Informatics

Fingerprint

Dive into the research topics of 'An application of principal dynamic modes for HRV signals spectrum decomposition related to the patients after ischemic brain stroke'. Together they form a unique fingerprint.

Cite this