Show simple item record

dc.contributor.authorDoulah, Abulen_US
dc.contributor.authorFarooq, Muhammaden_US
dc.contributor.authorYang, Xinen_US
dc.contributor.authorParton, Jasonen_US
dc.contributor.authorMcCrory, Megan A.en_US
dc.contributor.authorHiggins, Janine A.en_US
dc.contributor.authorSazonov, Edwarden_US
dc.coverage.spatialSwitzerlanden_US
dc.date2017-06-28
dc.date.accessioned2018-04-26T19:58:53Z
dc.date.available2018-04-26T19:58:53Z
dc.date.issued2017
dc.identifierhttps://www.ncbi.nlm.nih.gov/pubmed/28770206
dc.identifier.citationAbul Doulah, Muhammad Farooq, Xin Yang, Jason Parton, Megan A McCrory, Janine A Higgins, Edward Sazonov. 2017. "Meal Microstructure Characterization from Sensor-Based Food Intake Detection.." Front Nutr, Volume 4, (30).
dc.identifier.issn2296-861X
dc.identifier.urihttps://hdl.handle.net/2144/28544
dc.description.abstractTo avoid the pitfalls of self-reported dietary intake, wearable sensors can be used. Many food ingestion sensors offer the ability to automatically detect food intake using time resolutions that range from 23 ms to 8 min. There is no defined standard time resolution to accurately measure ingestive behavior or a meal microstructure. This paper aims to estimate the time resolution needed to accurately represent the microstructure of meals such as duration of eating episode, the duration of actual ingestion, and number of eating events. Twelve participants wore the automatic ingestion monitor (AIM) and kept a standard diet diary to report their food intake in free-living conditions for 24 h. As a reference, participants were also asked to mark food intake with a push button sampled every 0.1 s. The duration of eating episodes, duration of ingestion, and number of eating events were computed from the food diary, AIM, and the push button resampled at different time resolutions (0.1-30s). ANOVA and multiple comparison tests showed that the duration of eating episodes estimated from the diary differed significantly from that estimated by the AIM and the push button (p-value <0.001). There were no significant differences in the number of eating events for push button resolutions of 0.1, 1, and 5 s, but there were significant differences in resolutions of 10-30s (p-value <0.05). The results suggest that the desired time resolution of sensor-based food intake detection should be ≤5 s to accurately detect meal microstructure. Furthermore, the AIM provides more accurate measurement of the eating episode duration than the diet diary.en_US
dc.description.sponsorshipR01 DK100796 - NIDDK NIH HHSen_US
dc.format.extent31en_US
dc.languageeng
dc.relation.ispartofFront Nutr
dc.rightsCopyright: © 2017 Doulah, Farooq, Yang, Parton, McCrory, Higgins and Sazonov. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectChewingen_US
dc.subjectFood diaryen_US
dc.subjectFood intake detectionen_US
dc.subjectMeal microstructureen_US
dc.subjectSwallowingen_US
dc.subjectWearable sensorsen_US
dc.titleMeal microstructure characterization from sensor-based food intake detectionen_US
dc.typeArticleen_US
dc.identifier.doi10.3389/fnut.2017.00031
pubs.elements-sourcepubmeden_US
pubs.notesEmbargo: Not knownen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Health & Rehabilitation Sciences: Sargent Collegeen_US
pubs.organisational-groupBoston University, College of Health & Rehabilitation Sciences: Sargent College, Health Sciencesen_US
pubs.publication-statusPublished onlineen_US


This item appears in the following Collection(s)

Show simple item record

Copyright: © 2017 Doulah, Farooq, Yang, Parton, McCrory, Higgins and Sazonov. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Except where otherwise noted, this item's license is described as Copyright: © 2017 Doulah, Farooq, Yang, Parton, McCrory, Higgins and Sazonov. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.