Detection and interpolation of outliers in biosignals
Jazyk angličtina Země Česko Médium print
Typ dokumentu časopisecké články
PubMed
2082646
Knihovny.cz E-zdroje
- MeSH
- biologické modely MeSH
- elektrofyziologie přístrojové vybavení MeSH
- morčata MeSH
- regresní analýza MeSH
- software MeSH
- srdeční frekvence účinky léků fyziologie MeSH
- výzkumný projekt MeSH
- zvířata MeSH
- Check Tag
- morčata MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články 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.
