Swallow monitoring through apnea detection in breathing signal.
This paper presents the concepts, design, and algorithms for a wearable swallow monitoring system. Swallow monitoring can be used for assessing a person's overall food and drink intake habits as well as other swallow related disorders. The system works based on the key observation that a person's otherwise continuous breathing process is interrupted by a short apnea when she or he swallows as a part of food intake process. Using a wearable chest-belt, we detect swallows by detecting apneas extracted from breathing signal captured by the chest-belt. A matched filter based template matching framework is developed for swallow detection. A number of matched filter template design, both static and iterative, are developed for high-accuracy swallow detection.
Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA. dongbo@egr.msu.edu
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D003679:Deglutition; D006801:Humans; D008991:Monitoring, Physiologic / Q000379:methods*; D012891:Sleep Apnea Syndromes / Q000175:diagnosis / Q000503:physiopathology*