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Updated: May 25, 2026

Adapting Human Videofluoroscopic Swallow Study Methods to Detect and Characterize Dysphagia in Murine Disease Models
Published on: March 1, 2015
Towards automated ingestion detection: swallow sounds
William P Walker1, Dinesh Bhatia
1Embedded and Adaptive Computing Group, the University of Texas at Dallas, Richardson, TX 75080, USA. wpw021000@utdallas.edu
Abstract:
Obesity is a worldwide epidemic and is a cause of many major chronic diseases. In most cases, obesity is a result of an imbalance between food intake and calories burned. Steps toward automated ingestion detection are being made. In order to automate the process of capturing ingestion, a method for detecting, analyzing, and recording sounds related to ingestion is being developed. In this paper, preliminary swallow sound analysis is presented and compared with various other noises captured from a throat mounted microphone. Initial frequency analysis indicates a stronger presence at high frequency intervals for swallow sounds in relation to other captured sounds such as voice. Comparisons show that a single high-pass filter can offer similar results as wavelet decomposition. Two simple methods for event detection are given.
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