Non-Linear Feature Extraction for Heart Rate Variability: An Overview
Author(s) -
Kapil Tajane,
Rahul Pitale,
Jayant Umale
Publication year - 2014
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/15667-4068
Subject(s) - computer science , feature (linguistics) , extraction (chemistry) , pattern recognition (psychology) , artificial intelligence , chromatography , linguistics , chemistry , philosophy
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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