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Non-Linear Feature Extraction for Heart Rate Variability: An Overview
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 89 - Number 10 |
| Year of Publication: 2014 |
| Authors: Kapil Tajane, Rahul Pitale, Jayant Umale |
10.5120/15667-4068
|
Kapil Tajane, Rahul Pitale, Jayant Umale . Non-Linear Feature Extraction for Heart Rate Variability: An Overview. International Journal of Computer Applications. 89, 10 ( March 2014), 17-19. DOI=10.5120/15667-4068
Abstract
Extensive Research has been done to extracting non-linear features for Heart Rate Variability. Non-Linear Dynamics has many methods which will give better accuracy than linear methods. Human Heart Fluctuates in very complex manner HRV is mainly characterized by linear ,non-linear manner. Heart Beat Signal are chaotic in nature which are very complex which is impossible to predict. To extract non-linear patterns from HRV data is very challenging task as compare to the linear pattern. In this paper we presents a brief survey about some important methods which are useful to extract non-linear features such as Phase Space Reconstruction, Lyapunov Exponent, Fractal Dimensions, Recurrence Quantification Analysis.
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