• DocumentCode
    472179
  • Title

    Analysis of Temporal Pattern of Swallowing Mechanism

  • Author

    Aboofazeli, Mohammad ; Moussavi, Zahra

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man.
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 3 2006
  • Firstpage
    5591
  • Lastpage
    5594
  • Abstract
    This paper presents an objective method for analysis of temporal pattern of swallowing mechanism based on analysis of swallowing sounds and submental surface electromyogram (EMG). In this study, swallowing sound signal and submental EMG of 12 healthy subjects were recorded. Swallowing sound signals were divided into 25 millisecond segments each of which was represented by waveform fractal dimension (WED). Temporal pattern of swallowing sound signal was identified based on hidden Markov modeling (HMM) of the WED sequences. Submental muscle contraction was marked by thresholding the RMS values of the EMG signals. Duration of the swallowing sound phases, duration of the submental muscle contraction, and time difference between the onset of submental muscle contraction and the opening of cricopharynx were calculated. Experimental results suggest that the proposed method is efficient in the study of temporal pattern of swallowing mechanism and can provide an objective and accurate approach for swallowing mechanism analysis
  • Keywords
    bioacoustics; electromyography; hidden Markov models; pattern recognition; 25 ms; EMG; HMM; RMS value; cricopharynx; hidden Markov modeling; submental muscle contraction; submental surface electromyogram; swallowing sound signal; temporal pattern analysis; waveform fractal dimension; Electromyography; Esophagus; Fractals; Hidden Markov models; Intrusion detection; Larynx; Muscles; Pattern analysis; Pharynx; Signal processing; Hidden Markov model; submental surface electromyogram; swallowing sounds; waveform fractal dimension;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1557-170X
  • Print_ISBN
    1-4244-0032-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2006.259354
  • Filename
    4463073