Technique for the evaluation of derivatives from noisy biomechanical displacement data using a model-based bandwidth-selection procedure

@article{dAmico1990TechniqueFT,
  title={Technique for the evaluation of derivatives from noisy biomechanical displacement data using a model-based bandwidth-selection procedure},
  author={Michele d'Amico and Giancarlo Ferrigno},
  journal={Medical and Biological Engineering and Computing},
  year={1990},
  volume={28},
  pages={407-415}
}
Smoothing and differentiation of noisy signals are common problems whenever it is difficult or impossible to obtain derivatives by direct measurement. In biomechanics body displacements are frequently assessed and these measurements are affected by noise. To avoid high-frequency noise magnification, data filtering before differentiation is needed. In the approach reported here an autoregressive model is fitted to the signal. This allows the evaluation of the filter bandwidth and the… CONTINUE READING
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