A procedure for denoising dual-axis swallowing accelerometry signals.

  title={A procedure for denoising dual-axis swallowing accelerometry signals.},
  author={Ervin Sejdic and Catriona M. Steele and Tom Chau},
  journal={Physiological measurement},
  volume={31 1},
Dual-axis swallowing accelerometry is an emerging tool for the assessment of dysphagia (swallowing difficulties). These signals however can be very noisy as a result of physiological and motion artifacts. In this note, we propose a novel scheme for denoising those signals, i.e. a computationally efficient search for the optimal denoising threshold within a reduced wavelet subspace. To determine a viable subspace, the algorithm relies on the minimum value of the estimated upper bound for the… CONTINUE READING
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