Wavelet construction method for biomedical signals and device for biomedical signals

Abstract

A method of constructing a fundamental wavelet and wavelet family that specific to the relevant signal for the analysis of digitalized biomedical signals, and a biomedical device that provides anomaly detection with fundamental wavelet are provided. The method includes: creating a search space consist of more than one piecewise polynomial function, determining the most suitable piecewise polynomial by the genetic algorithm, ensuring orthogonality condition, representing the individual genotype as piecewise polynomials, generating new solutions/individuals by applying a crossover operation at the genotype level, obtaining discrete filter coefficients over the genotypes, representing the discrete filter coefficients as the phenotype of the genetic algorithm, evaluating the individuals/solutions according to the fitness value calculations assigned at the phenotype level, searching the most suitable discrete filters for the target signal, continuing this process until the termination criterion is met, constructing a new fundamental wavelet function as a result of the applied genetic algorithm.

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