Literature DB >> 25484630

Evaluation of Chewing and Swallowing Sensors for Monitoring Ingestive Behavior.

Juan M Fontana1, Edward S Sazonov1.   

Abstract

Monitoring Ingestive Behavior (MIB) of individuals is of special importance to identify and treat eating patterns associated with obesity and eating disorders. Current methods for MIB require subjects reporting every meal consumed, which is burdensome and tend to increase the reporting bias over time. This study presents an evaluation of the burden imposed by two wearable sensors for MIB during unrestricted food intake: a strain sensor to detect chewing events and a throat microphone to detect swallowing sounds. A total of 30 healthy subjects with various levels of adiposity participated in experiments involving the consumption of four meals in four different visits. A questionnaire was handled to subjects at the end of the last visit to evaluate the sensors burden in terms of the comfort levels experienced. Results showed that sensors presented high comfort levels as subjects indicated that the way they ate their meal was not considerably affected by the presence of the sensors. A statistical analysis showed that chewing sensor presented significantly higher comfort levels than the swallowing sensor. The outcomes of this study confirmed the suitability of the chewing and swallowing sensors for MIB and highlighted important aspects of comfort that should be addressed to obtain acceptable and less burdensome wearable sensors for MIB.

Entities:  

Keywords:  Chewing; Comfort Rating Scales; Eating Disorders; Monitoring Ingestive Behavior; Swallowing; Wearable Sensors

Year:  2013        PMID: 25484630      PMCID: PMC4256955          DOI: 10.1166/sl.2013.2925

Source DB:  PubMed          Journal:  Sens Lett        ISSN: 1546-1971


  13 in total

1.  A Sensor System for Automatic Detection of Food Intake Through Non-Invasive Monitoring of Chewing.

Authors:  Edward S Sazonov; Juan M Fontana
Journal:  IEEE Sens J       Date:  2012       Impact factor: 3.301

2.  Food intake monitoring: an acoustical approach to automated food intake activity detection and classification of consumed food.

Authors:  Sebastian Päßler; Matthias Wolff; Wolf-Joachim Fischer
Journal:  Physiol Meas       Date:  2012-05-24       Impact factor: 2.833

3.  Assessing the physical loading of wearable computers.

Authors:  James F Knight; Chris Baber
Journal:  Appl Ergon       Date:  2006-06-14       Impact factor: 3.661

Review 4.  Comfort and its measurement--a literature review.

Authors:  Elizabeth Jane M Pearson
Journal:  Disabil Rehabil Assist Technol       Date:  2009-09

5.  Non-invasive monitoring of chewing and swallowing for objective quantification of ingestive behavior.

Authors:  Edward Sazonov; Stephanie Schuckers; Paulo Lopez-Meyer; Oleksandr Makeyev; Nadezhda Sazonova; Edward L Melanson; Michael Neuman
Journal:  Physiol Meas       Date:  2008-04-22       Impact factor: 2.833

6.  Detection of food intake from swallowing sequences by supervised and unsupervised methods.

Authors:  Paulo Lopez-Meyer; Oleksandr Makeyev; Stephanie Schuckers; Edward L Melanson; Michael R Neuman; Edward Sazonov
Journal:  Ann Biomed Eng       Date:  2010-03-30       Impact factor: 3.934

7.  An automated methodology for levodopa-induced dyskinesia: assessment based on gyroscope and accelerometer signals.

Authors:  Markos G Tsipouras; Alexandros T Tzallas; George Rigas; Sofia Tsouli; Dimitrios I Fotiadis; Spiros Konitsiotis
Journal:  Artif Intell Med       Date:  2012-04-07       Impact factor: 5.326

8.  Repeated measurement of habitual food intake increases under-reporting and induces selective under-reporting.

Authors:  A H Goris; E P Meijer; K R Westerterp
Journal:  Br J Nutr       Date:  2001-05       Impact factor: 3.718

9.  Automatic detection of swallowing events by acoustical means for applications of monitoring of ingestive behavior.

Authors:  Edward S Sazonov; Oleksandr Makeyev; Stephanie Schuckers; Paulo Lopez-Meyer; Edward L Melanson; Michael R Neuman
Journal:  IEEE Trans Biomed Eng       Date:  2009-09-29       Impact factor: 4.538

10.  Automatic food intake detection based on swallowing sounds.

Authors:  Oleksandr Makeyev; Paulo Lopez-Meyer; Stephanie Schuckers; Walter Besio; Edward Sazonov
Journal:  Biomed Signal Process Control       Date:  2012-04-06       Impact factor: 3.880

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  8 in total

1.  Automatic ingestion monitor: a novel wearable device for monitoring of ingestive behavior.

Authors:  Juan M Fontana; Muhammad Farooq; Edward Sazonov
Journal:  IEEE Trans Biomed Eng       Date:  2014-06       Impact factor: 4.538

2.  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

3.  "Automatic Ingestion Monitor Version 2" - A Novel Wearable Device for Automatic Food Intake Detection and Passive Capture of Food Images.

Authors:  Abul Doulah; Tonmoy Ghosh; Delwar Hossain; Masudul H Imtiaz; Edward Sazonov
Journal:  IEEE J Biomed Health Inform       Date:  2021-02-05       Impact factor: 5.772

4.  The "Smart Dining Table": Automatic Behavioral Tracking of a Meal with a Multi-Touch-Computer.

Authors:  Sean Manton; Greta Magerowski; Laura Patriarca; Miguel Alonso-Alonso
Journal:  Front Psychol       Date:  2016-02-11

5.  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

6.  Food/Non-Food Classification of Real-Life Egocentric Images in Low- and Middle-Income Countries Based on Image Tagging Features.

Authors:  Guangzong Chen; Wenyan Jia; Yifan Zhao; Zhi-Hong Mao; Benny Lo; Alex K Anderson; Gary Frost; Modou L Jobarteh; Megan A McCrory; Edward Sazonov; Matilda Steiner-Asiedu; Richard S Ansong; Thomas Baranowski; Lora Burke; Mingui Sun
Journal:  Front Artif Intell       Date:  2021-04-01

7.  Human Subjects Protection and Technology in Prevention Science: Selected Opportunities and Challenges.

Authors:  Anthony R Pisani; Peter A Wyman; David C Mohr; Tatiana Perrino; Carlos Gallo; Juan Villamar; Kimberly Kendziora; George W Howe; Zili Sloboda; C Hendricks Brown
Journal:  Prev Sci       Date:  2016-08

Review 8.  Mobile Ecological Momentary Diet Assessment Methods for Behavioral Research: Systematic Review.

Authors:  Susan M Schembre; Yue Liao; Sydney G O'Connor; Melanie D Hingle; Shu-En Shen; Katarina G Hamoy; Jimi Huh; Genevieve F Dunton; Rick Weiss; Cynthia A Thomson; Carol J Boushey
Journal:  JMIR Mhealth Uhealth       Date:  2018-11-20       Impact factor: 4.773

  8 in total

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