Innovative Filtering Methods

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.

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).