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Volume 44 Issue 11
Nov.  2022
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YANG Yuxiang, YU Shaoshuai, LIN Haijun, LI Jianmin, ZHANG Fu. Detection and Intelligent Recognition Method of Swallowing Events Based on Complex Impedance Pharyngography[J]. Journal of Electronics & Information Technology, 2022, 44(11): 3998-4007. doi: 10.11999/JEIT210897
Citation: YANG Yuxiang, YU Shaoshuai, LIN Haijun, LI Jianmin, ZHANG Fu. Detection and Intelligent Recognition Method of Swallowing Events Based on Complex Impedance Pharyngography[J]. Journal of Electronics & Information Technology, 2022, 44(11): 3998-4007. doi: 10.11999/JEIT210897

Detection and Intelligent Recognition Method of Swallowing Events Based on Complex Impedance Pharyngography

doi: 10.11999/JEIT210897
Funds:  The National Natural Science Foundation of China (32201134, 32171366, 31671002), The Natural Science Foundation of Hunan Province (2021JJ30014, 2021JJ40359)
  • Received Date: 2021-08-30
  • Accepted Date: 2022-07-26
  • Rev Recd Date: 2022-02-17
  • Available Online: 2022-07-29
  • Publish Date: 2022-11-14
  • Early screening of dysphagia is an important means to reduce the incidence of dysphagia, and accurate identification of Swallowing Events (SE) is a key step in the screening and treatment of dysphagia. Impedance PharyngoGraphy (IPG) is a new non-invasive SE detection method, but the existing IPG technique only detects the impedance amplitude and ignores the equally important phase information. Aiming to comprehensively extracting and intelligently recognizing SE, a Complex Impedance PharyngoGraphy (CIPG) detection method based on integer-period digital lock-in amplifying principle is proposed, and a CIPG measurement system is designed based on FPGA to continuously record the complex impedance (amplitude and phase) information during swallowing process, and an SE intelligent recognition algorithm based on Continuous Wavelet Transform (CWT) and GoogLeNet is designed. A five-SE recognition experiment including drinking water, dry swallowing, eating bread, eating yogurt and coughing is designed. The experimental results show that the SE recognition accuracy is 86.1% when only using impedance amplitude information, and 95.7% when using both impedance amplitude and phase information. The latter SE recognition accuracy is higher than that of other algorithms. This study confirms the effectiveness and superiority of CIPG technology and SE intelligent recognition algorithm, and lays a theoretical and technical foundation for further developing an early screening method of dysphagia based on CIPG.
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