Literature DB >> 22254698

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

Juan M Fontana1, Paulo Lopez-Meyer, Edward S Sazonov.   

Abstract

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.

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Year:  2011        PMID: 22254698     DOI: 10.1109/IEMBS.2011.6090534

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  6 in total

1.  A novel approach for food intake detection using electroglottography.

Authors:  Muhammad Farooq; Juan M Fontana; Edward Sazonov
Journal:  Physiol Meas       Date:  2014-03-26       Impact factor: 2.833

2.  Advances and Controversies in Diet and Physical Activity Measurement in Youth.

Authors:  Donna Spruijt-Metz; Cheng K Fred Wen; Brooke M Bell; Stephen Intille; Jeannie S Huang; Tom Baranowski
Journal:  Am J Prev Med       Date:  2018-08-19       Impact factor: 5.043

3.  Energy intake estimation from counts of chews and swallows.

Authors:  Juan M Fontana; Janine A Higgins; Stephanie C Schuckers; France Bellisle; Zhaoxing Pan; Edward L Melanson; Michael R Neuman; Edward Sazonov
Journal:  Appetite       Date:  2014-11-07       Impact factor: 3.868

4.  Automatic Measurement of Chew Count and Chewing Rate during Food Intake.

Authors:  Muhammad Farooq; Edward Sazonov
Journal:  Electronics (Basel)       Date:  2016-09-23       Impact factor: 2.397

5.  Statistical models for meal-level estimation of mass and energy intake using features derived from video observation and a chewing sensor.

Authors:  Xin Yang; Abul Doulah; Muhammad Farooq; Jason Parton; Megan A McCrory; Janine A Higgins; Edward Sazonov
Journal:  Sci Rep       Date:  2019-01-10       Impact factor: 4.379

6.  Reproducibility of Dietary Intake Measurement From Diet Diaries, Photographic Food Records, and a Novel Sensor Method.

Authors:  Juan M Fontana; Zhaoxing Pan; Edward S Sazonov; Megan A McCrory; J Graham Thomas; Kelli S McGrane; Tyson Marden; Janine A Higgins
Journal:  Front Nutr       Date:  2020-07-14
  6 in total

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