Design of a instrumentation module for monitoring ingestive behavior in laboratory studies

The development of accurate and objective tools for monitoring of ingestive behavior (MIB) is one of the most important needs facing studies of obesity and eating disorders. This paper presents the design of an instrumentation module for non-invasive monitoring of food ingestion in laboratory studies. The system can capture signals from a variety of sensors that characterize ingestion process (such as acoustical and other swallowing sensors, strain sensor for chewing detection and self-report buttons). In addition to the sensors, the data collection system integrates time-synchronous video footage that can be used for annotation of subject's activity. Both data and video are simultaneously and synchronously acquired and stored by a LabVIEW-based interface specifically developed for this application. This instrumentation module improves a previously developed system by eliminating the post-processing stage of data synchronization and by reducing the risks of operator's error.

[1]  Oleksandr Makeyev,et al.  Detection of periods of food intake using Support Vector Machines , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[2]  R. Krauss,et al.  American Heart Association call to action: obesity as a major risk factor for coronary heart disease. AHA Nutrition Committee. , 1998, Circulation.

[3]  Edward Sazonov,et al.  Non-invasive monitoring of chewing and swallowing for objective quantification of ingestive behavior. , 2008, Physiological measurement.

[4]  M. Wong,et al.  Epidemiological assessment of diet: a comparison of a 7-day diary with a food frequency questionnaire using urinary markers of nitrogen, potassium and sodium. , 2001, International journal of epidemiology.

[5]  D A Schoeller,et al.  Measurement of energy expenditure in free-living humans by using doubly labeled water. , 1988, The Journal of nutrition.

[6]  S. Olshansky,et al.  A potential decline in life expectancy in the United States in the 21st century. , 2005, The New England journal of medicine.

[7]  Ronald M. Krauss,et al.  American Heart Association Call to Action: Obesity as a Major Risk Factor for Coronary Heart Disease , 1998 .

[8]  H. S. Bayley,et al.  Four-day multimedia diet records underestimate energy needs in middle-aged and elderly women as determined by doubly-labeled water. , 2000, The Journal of nutrition.

[9]  W P James,et al.  What are the health risks? The medical consequences of obesity and its health risks. , 2009, Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association.

[10]  P. R. Murgatroyd,et al.  Metabolism or appetite: questions of energy balance with particular reference to obesity , 1989 .

[11]  C. Champagne,et al.  Energy intake and energy expenditure: a controlled study comparing dietitians and non-dietitians. , 2002, Journal of the American Dietetic Association.

[12]  Michael R Neuman,et al.  Toward Objective Monitoring of Ingestive Behavior in Free‐living Population , 2009, Obesity.

[13]  Michael R. Neuman,et al.  Automatic Detection of Swallowing Events by Acoustical Means for Applications of Monitoring of Ingestive Behavior , 2010, IEEE Transactions on Biomedical Engineering.

[14]  J. M. de Castro Methodology, correlational analysis, and interpretation of diet diary records of the food and fluid intake of free-living humans. , 1994, Appetite.