Application of Wavelet Scalogram and Coscalogram for Analysis of Biomedical Signals

In this paper, using wavelet scalograms and coscalogram of concurrent biomedical signals we were able to detect their short-lived temporal interactions. The complete analysis should include investigation of signal coherence in amplitude and phase. This is achieved with a continuous complex wavelet transform. Thus, in the algorithms developed, we use the Morlet wavelet transform and some measures based on scalograms and coscalograms. The algorithms have been developed that assist in quick and simple data analysis. Our analysis gives an indication of the cross-correlation of signals in time and frequency domain. The simultaneously recorded biomedical time series signals used, come from MIMIC database. The determined time shift between these signals, that we used to obtain adequate correlation results, may also be useful to determine various delays or information transmission times in human system.