A Computationally Simple and Robust Method to Detect Determinism in a Time Series

Author

Lu, Sheng ; Ju, Ki Hwan ; Kanters, Jorgen K. ; Chon, Ki H.

Author_Institution

Dept. of Biomed. Eng., State Univ. of New York, Stony Brook, NY

fYear

2006

fDate

Aug. 30 2006-Sept. 3 2006

Firstpage

763

Lastpage

766

Abstract

We present a new, simple, and fast computational technique, termed the incremental slope (IS), that can accurately distinguish between deterministic from stochastic systems even when the variance of noise is as large or greater than the signal, and remains robust for time-varying signals. The IS method is more accurate than the widely utilized Poincare plot analysis especially when the data are severely contaminated by noise. The efficacy of the IS is demonstrated with several simulated deterministic and stochastic signals

Keywords

Poincare mapping; cardiology; medical signal detection; medical signal processing; time series; deterministic system; heart rate variability; incremental slope; nonlinear determinism; phase map; poincare plot analysis; stochastic system; surrogate technique; time series; time-varying signal; Biomedical computing; Biomedical engineering; Cities and towns; Hospitals; Laboratories; Noise robustness; Signal to noise ratio; Testing; USA Councils; White noise; Incremental Slope; heart rate variability; nonlinear determinism; phase map; surrogate technique;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Conference_Location

New York, NY

ISSN

1557-170X

Print_ISBN

1-4244-0032-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2006.260508

Filename

4461863