Method for signal processing of biological trends based on wavelet analysis

Abstract

In this paper the approach for biomedical trends processing on signals of arterial blood saturation was proposed. This technique additionally could be applied to settle the problem of false alarms. Analysis based on dyadic wavelet transform was used for solving of this issue. Analysis of sensitivity and specifcity for modeled signals was performed. The signals contained patterns which could be interpreted as false alarms on 80, 85, 90, 95% SpO2. Experiment have given sensitivity 99% for 1-3 levels of decomposition and specifcity 30% for Haar wavelet.

Authors and Affiliations

O. Bodilovskyi, A. Popov

Keywords

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  • EP ID EP308234
  • DOI 10.20535/RADAP.2017.69.66-71
  • Views 73
  • Downloads 0

How To Cite

O. Bodilovskyi, A. Popov (2017). Method for signal processing of biological trends based on wavelet analysis. Вісник НТУУ КПІ. Серія Радіотехніка, Радіоапаратобудування, 0(69), 66-71. https://europub.co.uk/articles/-A-308234