title: Towards automated ingestion detection: swallow sounds.
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.
authors.affiliation: Embedded and Adaptive Computing Group, the University of Texas at Dallas, Richardson, TX 75080, USA. wpw021000@utdallas.edu
authors.forename: William P
authors.initials: WP
authors.lastname: Walker
authors.forename: Dinesh
authors.initials: D
authors.lastname: Bhatia
mesh_terms: D000465:Algorithms; D003679:Deglutition / Q000502:physiology*; D004435:Eating / Q000502:physiology*; D004548:Elasticity; D001330:Electronic Data Processing; D004867:Equipment Design; D006801:Humans; D008297:Male; D015233:Models, Statistical; D008991:Monitoring, Physiologic / Q000295:instrumentation / Q000379:methods*; D009765:Obesity / Q000503:physiopathology; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013016:Sound; D013018:Sound Spectrography / Q000379:methods*; D013997:Time Factors; D014159:Transducers; D014827:Vocal Cords / Q000503:physiopathology; D014831:Voice; D059015:Wireless Technology