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 language | English |
|---|---|
| Title of host publication | 5th 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 |
| Pages | 412-414 |
| Number of pages | 3 |
| DOIs | |
| Publication status | Published - 2008 |
| Event | 5th 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 2008 → 31 May 2008 |
Publication series
| Name | 5th 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
| Conference | 5th 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/Territory | China |
| City | Shenzhen |
| Period | 30/05/08 → 31/05/08 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
ASJC Scopus subject areas
- General Computer Science
- Biomedical Engineering
- Health Informatics
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