A wearable sensor system for automatic detection, characterization and modification of eating behaviour

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dc.contributor McCrory, Megan A.
dc.contributor Fonseca, Daniel J.
dc.contributor Kotru, Sushma
dc.contributor Hu, Fei
dc.contributor.advisor Sazonov, Edward
dc.contributor.author Farooq, Muhammad
dc.date.accessioned 2017-04-26T14:26:48Z
dc.date.available 2017-04-26T14:26:48Z
dc.date.issued 2015
dc.identifier.other u0015_0000001_0002434
dc.identifier.other Farooq_alatus_0004D_12830
dc.identifier.uri http://ir.ua.edu/handle/123456789/3115
dc.description Electronic Thesis or Dissertation
dc.description.abstract Food intake is the main source of energy and nutrients required to maintain life. The study of food intake patterns and ingestive behavior is critical to human health, as inadequate or excessive energy intake may result in medical conditions such as a decrease in weight or malnutrition, or increase in weight and obesity respectively. Monitoring of ingestive behavior is also important in understanding food intake patterns which contribute to the development of eating disorders such as anorexia nervosa, bulimia, and binge eating. Traditionally, ingestive behavior is assessed and monitored through self-reporting methods such as dietary records, 24hrs recall, and food frequency questionnaire, etc. However, these methods suffer severely from underreporting which may be as high as 50%. Thus, there is a need for the development of solutions for objective, accurate and automatic monitoring of the ingestive behavior of individuals, especially under free-living conditions. This work investigates the use of wearable sensor system for automatic detection, characterization and modification of the eating behavior of individuals with minimal or no conscious effort from the individuals. Automatic detection of food intake is proposed via monitoring of chewing and swallowing associated with food intake. Chewing monitoring is performed by using a piezoelectric strain sensor. A study was performed for food intake detection via chewing monitoring in free-living conditions for 24 hrs where chewing was captured with a piezoelectric strain sensor. Swallowing was monitored by using Electroglottography (EGG) measurement for monitoring of ingestive behavior during ad-libitum food intake in a controlled setting. This work also presents a new sensor system for which can accurately detect eating episodes in the presence of excessive ambulation. Research suggests that modifying the chewing behavior might be helpful in reducing the energy intake. This work further explores the potential use of the presented wearable sensor system to provide just-in-time feedback on the progression (based on total chew counts) of a meal and test its ability to reduce the total mass intake.
dc.format.extent 181 p.
dc.format.medium electronic
dc.format.mimetype application/pdf
dc.language English
dc.language.iso en_US
dc.publisher University of Alabama Libraries
dc.relation.ispartof The University of Alabama Electronic Theses and Dissertations
dc.relation.ispartof The University of Alabama Libraries Digital Collections
dc.relation.hasversion born digital
dc.rights All rights reserved by the author unless otherwise indicated.
dc.subject.other Electrical engineering
dc.subject.other Biomedical engineering
dc.subject.other Engineering
dc.title A wearable sensor system for automatic detection, characterization and modification of eating behaviour
dc.type thesis
dc.type text
etdms.degree.department University of Alabama. Dept. of Electrical and Computer Engineering
etdms.degree.discipline Electrical and Computer Engineering
etdms.degree.grantor The University of Alabama
etdms.degree.level doctoral
etdms.degree.name Ph.D.

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