Effects of wavelets analysis on power spectral distributions in posturographic signal processing

@article{Iuppariello2016EffectsOW,
  title={Effects of wavelets analysis on power spectral distributions in posturographic signal processing},
  author={Luigi Iuppariello and Gianni D'Addio and G. Pagano and Arcangelo Biancardi and Maria Romano and Paolo Bifulco and Mario Cesarelli},
  journal={2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)},
  year={2016},
  pages={1-5}
}
The preservation of stability and body coordination in humans is assured by the correct working of the postural control system. Usually, postural oscillations is measured by the magnitude of center of pressure (CoP) movement over time. The conventional parameters in frequency domain to quantify changes of the CoP dynamics are estimated using Fourier spectral methods. However, considering the non-stationarity of the CoP signals, the Fourier approach, which breaks a time series signal into… CONTINUE READING
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Analysis of foetal heart rate variability components by means of empirical mode decomposition

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Analysis of foetal heart rate variability components by means of empirical mode decomposition (2016

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