Abstract
Recent studies and clinical practice have shown that the extraction of detailed eating behaviour indicators is critical in identifying risk factors and/or treating obesity and eating disorders, such as anorexia and bulimia nervosa. A number of single meal analysis methods that have been successfully applied are based on the Mandometer, a weight scale that continuously measures the weight of food on a plate over the course of a meal. Experimental meal analysis is performed using the cumulative food intake curve, which is produced by the semi-automatic processing of the Mandometer weight measurements, in tandem with the video recordings of the eating session. Due to its complexity and the video recording dependence, this process is not suited to a clinical or a real-life setting.
In this work, we evaluate a method for automating the extraction of an accurate food intake curve, corrected for food additions during the meal and artificial weight fluctuations, using only the raw Mandometer output. Since the method requires no manual corrections or external video recordings it is appropriate for clinical or free-living use. Three algorithms are presented based on rules, greedy decisioning and exhaustive search, as well as evaluation methods of the Mandometer measurements. Experiments on a set of 114 meals collected from both normal and disordered eaters in a clinical environment illustrate the effectiveness of the proposed approach.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Arcelus, J., Mitchell, A.J., Wales, J., Nielsen, S.: Mortality rates in patients with anorexia nervosa and other eating disorders: A meta-analysis of 36 studies. Archives of General Psychiatry 68(7), 724–731 (2011)
Bergh, C., Brodin, U., Lindberg, G., Södersten, P.: Randomized controlled trial of a treatment for anorexia and bulimia nervosa. Proceedings of the National Academy of Sciences 99(14), 9486–9491 (2002)
Bergh, C., Callmar, M., Danemar, S., Hölcke, M., Isberg, S., Leon, M., Lindgren, J., Lundqvist, Å., Niinimaa, M., Olofsson, B., et al.: Effective treatment of eating disorders: Results at multiple sites. Behavioral Neuroscience 127(6), 878 (2013)
Bergh, C., Eklund, S., Eriksson, M., Lindberg, G., Södersten, P.: A new treatment of anorexia nervosa. The Lancet 348(9027), 611–612 (1996)
Gonzalez, R.C., Woods, R.E.: Digital image processing (2002)
Hay, P., Bacaltchuk, J., Claudino, A., Ben-Tovim, D., Yong, P.Y., et al.: Individual psychotherapy in the outpatient treatment of adults with anorexia nervosa. Cochrane Database Syst. Rev. 4 (2003)
Hay, P.P., Bacaltchuk, J., Stefano, S., Kashyap, P., et al.: Psychological treatments for bulimia nervosa and binging. Cochrane Database Syst. Rev. 4, CD000562 (2009)
Ioakimidis, I., Zandian, M., Bergh, C., Södersten, P.: A method for the control of eating rate: A potential intervention in eating disorders. Behavior Research Methods 41(3), 755–760 (2009)
Ioakimidis, I., Zandian, M., Ulbl, F., Ålund, C., Bergh, C., Södersten, P.: Food intake and chewing in women. Neurocomputing 84, 31–38 (2012)
Kissileff, H.R., Thornton, J., Becker, E.: A quadratic equation adequately describes the cumulative food intake curve in man. Appetite 3(3), 255–272 (1982)
Kushner, R.F., Ryan, D.H.: Assessment and lifestyle management of patients with obesity: Clinical recommendations from systematic reviews. JAMA 312(9), 943–952 (2014)
Sazonov, E.S., Fontana, J.M.: A sensor system for automatic detection of food intake through non-invasive monitoring of chewing. IEEE Sensors Journal 12(5), 1340–1348 (2012)
Steinhausen, H.-C.: The outcome of anorexia nervosa in the 20th century. American Journal of Psychiatry 159(8), 1284–1293 (2002)
Swanson, S.A., Crow, S.J., Le Grange, D., Swendsen, J., Merikangas, K.R.: Prevalence and correlates of eating disorders in adolescents: Results from the national comorbidity survey replication adolescent supplement. Archives of General Psychiatry 68(7), 714–723 (2011)
Weiss, R., Caprio, S.: The metabolic consequences of childhood obesity. Best Practice & Research Clinical Endocrinology & Metabolism 19(3), 405–419 (2005)
Wilson, G.T., Shafran, R.: Eating disorders guidelines from nice. The Lancet 365(9453), 79–81 (2005)
Yanovski, S.Z., Yanovski, J.A.: Long-term drug treatment for obesity: A systematic and clinical review. JAMA 311(1), 74–86 (2014)
Zandian, M., Ioakimidis, I., Bergh, C., Brodin, U., Södersten, P.: Decelerated and linear eaters: Effect of eating rate on food intake and satiety. Physiology & Behavior 96(2), 270–275 (2009)
Zandian, M., Ioakimidis, I., Bergh, C., Södersten, P.: Linear eaters turned decelerated: Reduction of a risk for disordered eating? Physiology & Behavior 96(4), 518–521 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Papapanagiotou, V., Diou, C., Langlet, B., Ioakimidis, I., Delopoulos, A. (2015). Automated Extraction of Food Intake Indicators from Continuous Meal Weight Measurements. In: Ortuño, F., Rojas, I. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2015. Lecture Notes in Computer Science(), vol 9044. Springer, Cham. https://doi.org/10.1007/978-3-319-16480-9_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-16480-9_4
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16479-3
Online ISBN: 978-3-319-16480-9
eBook Packages: Computer ScienceComputer Science (R0)