Method for signal processing of biological trends based on wavelet analysis
Keywords:trends of biomedical signals, SpO2, wavelet analysis
AbstractIn 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.
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