Automated classification of swallowing and breadth sounds

Mohammad Aboofazeli1, Zahra Moussavi

  • 1Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada. mohammad@ee.umanitoba.ca

Summary

This study developed an automated neural network algorithm to distinguish swallowing sounds from breathing sounds. The method accurately identifies 91.7% of swallows, aiding in dysphagia diagnosis.

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