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Interpretation of the auto-mutual information rate of decrease in the context of biomedical signal analysis.
Javier Escudero1, Roberto Hornero, Daniel Abásolo
1Biomedical Engineering Group, E.T.S.I. Telecomunicación, University of Valladolid, Camino del Cementerio s/n, 47011, Valladolid, Spain. javier.escudero@ieee.org
Physiological Measurement
|January 17, 2009
Summary
The auto-mutual information function rate of decrease (AMIFRD) quantifies signal entropy and nonlinear dynamics. Higher bandwidth and added noise decrease AMIFRD, aiding biomedical time series analysis.
Area of Science:
- Signal processing
- Information theory
- Biomedical engineering
Background:
- Mutual Information (MI) measures linear and nonlinear dependencies.
- Auto-Mutual Information Function (AMIF) analyzes time series and delayed versions.
- AMIF rate of decrease (AMIFRD) correlates with signal entropy and characterizes biomedical data.
Purpose of the Study:
- Investigate AMIFRD dependence on signal processing concepts.
- Illustrate AMIFRD application in biomedical time series analysis.
Main Methods:
- Analyzed synthetic time series using AMIFRD.
- Applied AMIFRD to electroencephalogram (EEG) signals (eyes open/closed, ictal/non-ictal).
Main Results:
- AMIF decreases faster with increased bandwidth.
- AMIFRD becomes more negative with increased white noise.
- AMIFRD detected changes in nonlinear signal dynamics.
Conclusions:
- AMIFRD is sensitive to signal bandwidth and noise.
- AMIFRD effectively characterizes nonlinear dynamics in biomedical signals like EEG.
