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Non-Linear Feature Extraction for Heart Rate Variability: An Overview

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 89 - Number 10
Year of Publication: 2014
Kapil Tajane
Rahul Pitale
Jayant Umale

Kapil Tajane, Rahul Pitale and Jayant Umale. Article: Non-Linear Feature Extraction for Heart Rate Variability: An Overview. International Journal of Computer Applications 89(10):17-19, March 2014. Full text available. BibTeX

	author = {Kapil Tajane and Rahul Pitale and Jayant Umale},
	title = {Article: Non-Linear Feature Extraction for Heart Rate Variability: An Overview},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {89},
	number = {10},
	pages = {17-19},
	month = {March},
	note = {Full text available}


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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