Top > JACIII > Evaluation of Swallowing Sound Using a Throat Microphone with ...

single-jc.php

JACIII Vol.21 No.3 pp. 573-580
doi: 10.20965/jaciii.2017.p0573
(2017)

Paper:

Views over last 60 days: 1,108

Evaluation of Swallowing Sound Using a Throat Microphone with an AE Sensor in Patients Wearing Palatal Augmentation Prosthesis

Ayuko Kamiyanagi*, Yuka Sumita*,†, Manabu Chikai**, Kenta Kimura**, Yoshikazu Seki**, Shuichi Ino**, and Hisashi Taniguchi*

*Department of Maxillofacial Prosthetics, Graduate School, Tokyo Medical and Dental University (TMDU)
1-5-45 Yushima, Bunkyo-ku, Tokyo, Japan

**Human Informatics Research Institute, National Institute of Advanced Industrial Science and Technology (AIST)
1-1-1 Higashi, Tsukuba, Ibaraki, Japan

†Corresponding author

Received:
August 26, 2016
Accepted:
March 27, 2017
Online released:
May 19, 2017
Published:
May 20, 2017
Creative Commons License
Keywords:
swallowing sounds, acoustic analysis, acoustic emission (AE) sensor, cervical auscultation, palatal augmentation prosthesis (PAP)
Abstract
An increase in the population of dysphagia patients due to an aging population has led to increased attention on examination methods based on swallowing sound as simple methods of screening aspiration. However, an issue with the conventional method of cervical auscultation is that its accuracy varies based on the examiner. Previous studies examined the use of throat microphones and acceleration sensors to examine the acoustic characteristics of swallowing sound. Nevertheless, extant studies to date did not reach a level of clinical application. This study focused on using a throat microphone that is conventionally used to measure swallowing sound and an AE sensor to measurement a high-frequency range equal to and exceeding 20 kHz (upper limit 2 MHz). The study involved measuring the sounds of swallowing water of healthy subjects and patients wearing palatal augmentation prosthesis who had done surgical operation to treat head and neck cancer with the objective of using swallowing sound for screening aspiration. Acoustic characteristics of measured swallowing sound were analyzed using probability distributions using Quantile-Quantile (Q-Q) plots and spectral analysis based on wavelet transform. The findings indicated that with respect to patients with PAP, the duration time of the swallowing sound and the Q-Q plot departure rate were both significantly higher when compared with those in healthy subjects. The analysis based on wavelet transform indicated that the AE sensor allowed measurements of waveforms at a higher frequency range when compared to those in the case of the throat microphone. Additionally, an increased frequency of higher-frequency signals was associated with patients with PAP when compared to healthy subjects. The results revealed that it is possible to measure waveforms in the high-frequency range by using the AE sensor. The findings suggested the validity of analysis of the swallowing sound based on probability distributions using the Q-Q plot to evaluate the swallowing sound.
Cite this article as:
A. Kamiyanagi, Y. Sumita, M. Chikai, K. Kimura, Y. Seki, S. Ino, and H. Taniguchi, “Evaluation of Swallowing Sound Using a Throat Microphone with an AE Sensor in Patients Wearing Palatal Augmentation Prosthesis,” J. Adv. Comput. Intell. Intell. Inform., Vol.21 No.3, pp. 573-580, 2017.
Data files:
References
  1. [1] T. Kubo, M. Naito, K. Yunokuchi, G. Wang, and T. Kimura, “Wavelet analysis of swallowing and expiratory sounds – application of cervical auscultation –,” JJDR, Vol.8, No.1, pp. 64-68, Jun. 2004.
  2. [2] K. Hammoudi, M. Boiron, N. Hernandez, C. Bobillier, and S. Morinière, “Acoustic Study of Pharyngeal Swallowing as a Function of the Volume and Consistency of the Bolus,” Dysphagia, Vol.29, No.4, pp. 468-474, 2014.
  3. [3] J. M. Dudik, I. Jestrović, B. Luan, J. L. Coyle, and E. Sejdić, “A comparative analysis of swallowing accelerometry and sounds during saliva swallows,” Biomed Eng Online, Vol.14, 2015.
  4. [4] M. Yamashita, K. Yokoyama, Y. Takei, N. Furuya, Y. Nakamichi, Y. Ihara, et al., “Acoustic characteristics of voluntary expiratory sounds after swallow for detecting dysphagia,” J. of Oral Rehabilitation, Vol.41, No.9, pp. 667-674, 2014.
  5. [5] K. Takahashi, M. E. Groher, and K. Michi, “Methodology for detecting swallowing sounds,” Dysphagia, Vol.9, No.1, 1994.
  6. [6] K. Takahashi, M. E. Groher, and K. Michi, “Symmetry and reproducibility of swallowing sounds,” Dysphagia, Vol.9, No.3, pp. 168-173, 1994.
  7. [7] S. Youmans and J. Stierwalt, “An acoustic profile of normal swallowing,” Dysphagia, Vol.20,No.3, pp. 195-209, 2005.
  8. [8] S. Youmans and J. Stierwalt, “Normal swallowing acoustics across age, gender, bolus viscosity, and bolus volume,” Dysphagia, Vol.26, No.4, pp. 374-384, 2011.
  9. [9] K. T. Robbins, J. B. Bowman, and R. F. Jacob, “Postglossectomy deglutitory and articulatory rehabilitation with palatal augmentation prosthesis,” Arch Otolaryngol Head Neck Surg, Vol.113, No.11, pp. 1214-1218, 1987.
  10. [10] H. Okayama, F. Tamura, T. Kikutani, H. Kayanaka, H. Katagiri, and K. Nishiwaki, “Effects of a palatal augmentation prosthesis on lingual function in postoperative patients with oral cancer: Coronal section analysis by ultrasonography,” Odontology, Vol.96, No.1, pp. 26-31, 2008.
  11. [11] K. Ueda, Y. Mukai, M. Morita, T. Kikutani, Y. Watanabe, H. Tohara, et al., “The Effectiveness of Palatal Augmentation Prosthesis for Dysphagia,” JJDR, Vol.16, No.1, pp. 32-41, Apr. 2012
  12. [12] S. Shibano, M. Yamawaki, A. Nakane, and H. Uematsu, “Palatal augmentation prosthesis (PAP) influences both the pharyngeal and oral phases of swallowing,” Deglutition, Vol.1, No.1, pp. 204-211, 2012.
  13. [13] J. Nakajima, T. Karaho, T. Ando, and Y. Sato, “Manofluorography of Swallowing in Glossectomy Patients with the PAP,” JJDR, Vol.9, No.2, pp. 206-212, 2005.
  14. [14] M. Ohtsu, “History And Developments Of Acoustic Emission In Concrete Engineering,” J. of JSCE, Vol.1994, No.496, pp. 9-19,1994.
  15. [15] T. Tasaki and M. Goto, “Some Uses Of Probability Plotting Data Analysis,” The Behaviormetric Society of Japan, Vol.12, No.2, pp. 29-34, 1984.

Creative Commons License  This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Apr. 22, 2024