Method for signal processing of biological trends based on wavelet analysis

Authors

  • O. K. Bodilovskyi National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Ukraine
  • A. O. Popov National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Ukraine

DOI:

https://doi.org/10.20535/RADAP.2017.69.66-71

Keywords:

trends of biomedical signals, SpO2, 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.

Author Biographies

O. K. Bodilovskyi, National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"

Bodilovskyi Oleh

A. O. Popov, National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"

Popov Anton

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Published

2017-06-30

Issue

69

Section

Radioelectronics Medical Technologies

License

Copyright (c) 2020 O. K. Bodilovskyi, A. O. Popov

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