Detection and interpolation of outliers in biosignals
Language English Country Czech Republic Media print
Document type Journal Article
PubMed
2082646
Knihovny.cz E-resources
- MeSH
- Models, Biological MeSH
- Electrophysiology instrumentation MeSH
- Guinea Pigs MeSH
- Regression Analysis MeSH
- Software MeSH
- Heart Rate drug effects physiology MeSH
- Research Design MeSH
- Animals MeSH
- Check Tag
- Guinea Pigs MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
Detection of outliers in recorded biosignals and their interpolation is described. The detection of outliers is based on the simple rule of 3 sigma. The subsequent interpolation is performed according to the method proposed by Brubacher and Wilson for autoregressive processes. The output of the suggested procedure can be treated by standard programs of statistical analysis as long as the influence of outliers is eliminated. The program in Fortran IV developed in the Institute of Hygiene and Epidemiology, Prague, performs automatically the detection of outliers in an input signal and their replacement by means of the proposed interpolation method.
Representative QRS loop of the VCG record evaluation
