Adaptive Filtering Procedure

(for MATLAB^®)

General Notes

Physiological data often requires the exclusion of artefacts and additional ectopic values (e.g. for heart rate variability: ventricular premature complexes). Here we give an adaptive filtering procedure for automatic artefact removal. The advantage of this algorithm is the spontaneous adaptation of the filter coefficients due to sudden changes in the time series (e.g. sudden heart rate increase).

Usage

y=ada_f(x);

Examples

Use this examplary data series for the following example: data.txt

load data.txt;
plot(data);
hold on;
filtered_data=ada_f(data);
plot(filtered_data,'r');

References

• 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.

Download

ada_f.m

Author

Niels Wessel