Time-Frequency Analysis and Hermite Projection Method Applied to Swallowing Accelerometry Signals

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.

[1]  Andrey S. Krylov,et al.  Fast Hermite Projection Method , 2006, ICIAR.

[2]  T Chau,et al.  Time and time–frequency characterization of dual-axis swallowing accelerometry signals , 2008, Physiological measurement.

[3]  Jin Jiang,et al.  Time-frequency feature representation using energy concentration: An overview of recent advances , 2009, Digit. Signal Process..

[4]  S. Stankovic,et al.  Multiwindow S-method for instantaneous frequency estimation and its application in radar signal analysis , 2010, IET Signal Processing.

[5]  P.J. Loughlin,et al.  Scanning the Special Issue on Time-Frequency Analysis , 1996, Proceedings of the IEEE.

[6]  Jean-Jacques E. Slotine,et al.  Audio classification from time-frequency texture , 2008, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[7]  Anil K. Jain,et al.  Texture Analysis , 2018, Handbook of Image Processing and Computer Vision.

[8]  Arthur J. Miller,et al.  The Neuroscientific Principles of Swallowing and Dysphagia , 2000 .

[9]  Tom Chau,et al.  Segmentation of Dual-Axis Swallowing Accelerometry Signals in Healthy Subjects With Analysis of Anthropometric Effects on Duration of Swallowing Activities , 2009, IEEE Transactions on Biomedical Engineering.

[10]  Leon Cohen,et al.  Time Frequency Analysis: Theory and Applications , 1994 .

[11]  Tom Chau,et al.  A radial basis classifier for the automatic detection of aspiration in children with dysphagia , 2006, Journal of NeuroEngineering and Rehabilitation.

[12]  W. F. Eberlein,et al.  A new method for numerical evaluation of the Fourier transform , 1978 .

[13]  Ljubisa Stankovic,et al.  Auto-term representation by the reduced interference distributions: a procedure for kernel design , 1996, IEEE Trans. Signal Process..

[14]  N.P. Reddy,et al.  Biomechanical quantification for assessment and diagnosis of dysphagia , 1988, IEEE Engineering in Medicine and Biology Magazine.

[15]  J. Stierwalt,et al.  An Acoustic Profile of Normal Swallowing , 2005, Dysphagia.

[16]  William J. Williams,et al.  Improved time-frequency representation of multicomponent signals using exponential kernels , 1989, IEEE Trans. Acoust. Speech Signal Process..

[17]  Lalit Kalra,et al.  Can Pulse Oximetry or a Bedside Swallowing Assessment Be Used to Detect Aspiration After Stroke? , 2006, Stroke.

[18]  J. Logemann,et al.  Evaluation and treatment of swallowing disorders , 1983 .

[19]  J. Logemann,et al.  Evaluation and treatment of swallowing disorders , 1984 .

[20]  S. Hamlet,et al.  Stethoscope acoustics and cervical auscultation of swallowing , 2004, Dysphagia.

[21]  Andrey S. Krylov,et al.  Projection Filtering in Image Processing , 2000 .

[22]  Bruce E. Murdoch,et al.  The Physiologic Cause of Swallowing Sounds: Answers from Heart Sounds and Vocal Tract Acoustics , 1998, Dysphagia.

[23]  Arthur J. Miller,et al.  Book Reviews: The Neuroscientific Principles of Swallowing and Dysphagia , 1999 .

[24]  N. P. Reddy,et al.  Biomechanical measurements to characterize the oral phase of dysphagia , 1990, IEEE Transactions on Biomedical Engineering.

[25]  Andrey S. Krylov,et al.  Image Database Retrieval by Fast Hermite Projection Method , 2005 .

[26]  Ljubisa Stankovic,et al.  A method for time-frequency analysis , 1994, IEEE Trans. Signal Process..

[27]  Jin Jiang,et al.  Comparative study of three time-frequency representations with applications to a novel correlation method , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.