Time-frequency analysis and hermite projection method applied to swallowing accelerometry signals

  • Authors:

  • Irena Orović;Srdjan Stanković;Tom Chau;Catriona M. Steele;Ervin Sejdić

  • Affiliations:

  • Electrical Engineering Department, University of Montenegro, Podgorica, Montenegro;Electrical Engineering Department, University of Montenegro, Podgorica, Montenegro;Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada and Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ont ...;Toronto Rehabilitation Institute, Toronto, Ontario, Canada and Department of Speech-Language Pathology, University of Toronto, Toronto, Ontario, Canada;Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada and Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ont ...

  • Venue:
  • EURASIP Journal on Advances in Signal Processing - Special issue on applications of time-frequency signal processing in wireless communications and bioengineering
  • Year:
  • 2010

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Abstract

Fast Hermite projections have been often used in image-processing procedures such as image database retrieval, projection filtering, and texture analysis. In this paper, we propose an innovative approach for the analysis of one-dimensional biomedical signals that combines the Hermite projection method with time-frequency analysis. In particular, we propose a two-step approach to characterize vibrations of various origins in swallowing accelerometry signals. First, by using time-frequency analysis we obtain the energy distribution of signal frequency content in time. Second, by using fast Hermite projections we characterize whether the analyzed time-frequency regions are associated with swallowing or other phenomena (vocalization, noise, bursts, etc.). The numerical analysis of the proposed scheme clearly shows that by using a few Hermite functions, vibrations of various origins are distinguishable. These results will be the basis for further analysis of swallowing accelerometry to detect swallowing difficulties.