Published May 2008 | Version v1
Journal article

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

  • 1. Department of Electrical and Computer Engineering, Clarkson University, 8 Clarkson Ave, Potsdam, NY 13699 (United States)
  • 2. Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26505 (United States)
  • 3. Univesity of Colorado, Denver, School of Medicine, Division of Endocrinology, Metabolism and Diabetes, and the Center for Human Nutrition, Denver, CO 80262 (United States)
  • 4. Department of Biomedical Engineering, Michigan Technological University, Houghton, MI 49931 (United States)

Description

A methodology of studying of ingestive behavior by non-invasive monitoring of swallowing (deglutition) and chewing (mastication) has been developed. The target application for the developed methodology is to study the behavioral patterns of food consumption and producing volumetric and weight estimates of energy intake. Monitoring is non-invasive based on detecting swallowing by a sound sensor located over laryngopharynx or by a bone-conduction microphone and detecting chewing through a below-the-ear strain sensor. Proposed sensors may be implemented in a wearable monitoring device, thus enabling monitoring of ingestive behavior in free-living individuals. In this paper, the goals in the development of this methodology are two-fold. First, a system comprising sensors, related hardware and software for multi-modal data capture is designed for data collection in a controlled environment. Second, a protocol is developed for manual scoring of chewing and swallowing for use as a gold standard. The multi-modal data capture was tested by measuring chewing and swallowing in 21 volunteers during periods of food intake and quiet sitting (no food intake). Video footage and sensor signals were manually scored by trained raters. Inter-rater reliability study for three raters conducted on the sample set of five subjects resulted in high average intra-class correlation coefficients of 0.996 for bites, 0.988 for chews and 0.98 for swallows. The collected sensor signals and the resulting manual scores will be used in future research as a gold standard for further assessment of sensor design, development of automatic pattern recognition routines and study of the relationship between swallowing/chewing and ingestive behavior

Availability note (English)

Available from http://dx.doi.org/10.1088/0967-3334/29/5/001

Additional details

Identifiers

DOI
10.1088/0967-3334/29/5/001;
PII
S0967-3334(08)66835-5;

Publishing Information

Journal Title
Physiological Measurement (Print)
Journal Volume
29
Journal Issue
5
Journal Page Range
p. 525-541
ISSN
0967-3334

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
44127350
Subject category
S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
Descriptors DEI
COMPUTER CODES; DESIGN; EQUIPMENT; GOLD; INTAKE; MONITORING; NONDESTRUCTIVE TESTING; PATTERN RECOGNITION; SENSORS; SIGNALS; SKELETON; SOUND WAVES
Descriptors DEC
BODY; ELEMENTS; MATERIALS TESTING; METALS; ORGANS; TESTING; TRANSITION ELEMENTS