On the use of splines for wavelet construction for solving the problem of biomedical signal analysis process automation
The article describes the procedure of wavelet synthesis for continuous wavelet transform and opportunities to apply cubic splines for this. As the analyzed signal one of biomedical signals is given, the signal is EEG. All phases of the construction of a new wavelet based on a signal fragment are described.
The results are obtained by applying wavelets derived in the process of direct and inverse continuous wavelet transform. At the end we provide recommendations on selecting a digital signalprocessor that can be used when implementing automatic biomedical signal analysis algorithms.