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The EMG signals were analyzed using spectral analysis and waveletanalysis.
2
Changes to rotavirus seasonality were evaluated using center of gravity analysis, waveletanalysis, and harmonic regression.
3
In the first stage, we decompose the MMG signals by waveletanalysis into multilevel approximate and detail coefficients.
4
Using waveletanalysis a time-frequency-amplitude plot was obtained to separate out the frequency components relating to uterine EMG activity.
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A waveletanalysis indicated significant energies in BP and HR at scales related to twice and four times the stimulus frequency bands.
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Waveletanalyses were performed to assess the temporal relationship between HFRS incidence, rodent density and climatic factors over the study period.
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Miniature dataloggers coupled with waveletanalyses should provide powerful tools for future studies investigating the principles and mechanisms mediating social influences on daily timing.