Potsdam Institute for Climate Impact Research (PIK)
Interdisciplinary Center for Dynamics of Complex Systems (University of Potsdam)
Cardiovascular Physics Group (Humboldt-Universität zu Berlin)
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TOCSY - Toolboxes for Complex Systems
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Innovative filtering of Data Filtering
Time-scale adjustment Time-Scale Adjustment
Nonlinear correlation/ interrelation analysis Nonlinear Correlation
Parameter estimation of models System Identification
Data analysis and modeling using complex networks. Complex Networks
Investigation of system\'s dynamics System's Dynamics

Innovative Filtering Methods

Tools

Adaptive Filtering

System
Identification Tool


DSProlog

Example: Heart rate variability data

Measured data usually needs a thoughtful data pre-processing. For instance, noise, seasonal impacts, outliers, artefacts etc. have to be excluded from a subsequent analysis.

Heart beat data before and filtering.

The measurement of heart-beat intervals (HBI) contains signals which does not come from the sinus node of the heart (ventricular premature complexes VPC, top figure). For an analysis of such data in regard, e.g., of its relationship with the blood pressure, such outliers have to be removed (bottom figure). Such kind of outliers can be filtered with an adaptive filter (e.g. ADA).

Reference:

Wessel, N., Voss, A., Malberg, H., Ziehmann, Ch., Voss, H. U., Schirdewan, A., Meyerfeldt, U., Kurths, J.: Nonlinear analysis of complex phenomena in cardiological data, Herzschr. Elektrophys., 11(3), 2000, 159-173, doi:10.1007/s003990070035, Article (PDF).


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