The EMG signals were analyzed using spectral analysis and wavelet analysis.

Changes to rotavirus seasonality were evaluated using center of gravity analysis, wavelet analysis, and harmonic regression.

In the first stage, we decompose the MMG signals by wavelet analysis into multilevel approximate and detail coefficients.

Using wavelet analysis a time-frequency-amplitude plot was obtained to separate out the frequency components relating to uterine EMG activity.

A wavelet analysis indicated significant energies in BP and HR at scales related to twice and four times the stimulus frequency bands.

Wavelet analyses were performed to assess the temporal relationship between HFRS incidence, rodent density and climatic factors over the study period.

Miniature dataloggers coupled with wavelet analyses should provide powerful tools for future studies investigating the principles and mechanisms mediating social influences on daily timing.