Conference proceeding
Time-frequency analysis of cardiac rhythm to reveal patterns of adaptation to orthostatic challenge
Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439), Vol.3, pp.2562-2565 Vol.3
2003
DOI: 10.1109/IEMBS.2003.1280438
Abstract
Beat-to-beat changes in cardiac rhythm or heart rate variability (HRV), evoked by changes in the autonomic nervous system activity (ANSA), are complex and often remain unexposed by the traditional HRV analysis. In particular, this analysis does not reveal individual ANSA adjustments to changes in the body position during head-up tilt. Although tilt-related changes in the traditional HRV indices have been reported, the differences between successful and unsuccessful ANSA adaptation remain uncertain. To investigate HRV patterns in tilt-symptomatic and tilt-asymptomatic subjects, we used a time-frequency representation of the HRV signals. This representation, recently developed by the authors, is based on an orthogonal linear decomposition.
Details
- Title: Subtitle
- Time-frequency analysis of cardiac rhythm to reveal patterns of adaptation to orthostatic challenge
- Creators
- B. Aysin - University of PittsburghL.F. Chaparro - University of PittsburghV. Shusterman
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439), Vol.3, pp.2562-2565 Vol.3
- Publisher
- IEEE
- DOI
- 10.1109/IEMBS.2003.1280438
- ISSN
- 1094-687X
- eISSN
- 1558-4615
- Language
- English
- Date published
- 2003
- Academic Unit
- Cardiovascular Medicine; Internal Medicine
- Record Identifier
- 9984360037502771
Metrics
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