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dc.contributor.authorKhanna, N.
dc.contributor.authorEicher-Miller, H.
dc.contributor.authorVerma, H.
dc.contributor.authorBoushey, Carol
dc.contributor.authorGelfand, S.
dc.contributor.authorDelp, E.
dc.date.accessioned2018-06-29T12:25:51Z
dc.date.available2018-06-29T12:25:51Z
dc.date.created2018-06-29T12:09:04Z
dc.date.issued2018
dc.identifier.citationKhanna, N. and Eicher-Miller, H. and Verma, H. and Boushey, C. and Gelfand, S. and Delp, E. 2018. Modified dynamic time warping (MDTW) for estimating temporal dietary patterns, pp. 948-952.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/68486
dc.identifier.doi10.1109/GlobalSIP.2017.8309100
dc.description.abstract

© 2017 IEEE. Chronic diseases such as heart disease, diabetes, and obesity are known to develop over many years and have been strongly linked with diet. However, the concept of time is not fully incorporated into most of the research investigating these associations. This is partially due to the lack of suitable distance measures for comparing time series corresponding to different eating patterns. This paper develops the concept of temporal dietary pattern (TDP) and presents dynamic time warping based novel distance measure, referred as Modified Dynamic Time Warping (MDTW), for comparing different eating patterns. An efficient algorithm for estimating MDTW distance is used in k-means clustering for comparing 24-hour dietary data and identifying TDPs. Efficacy of the proposed distance measure is shown by estimating TDPs for a representative sample of the adult US population (from the National Health and Nutrition Examination Survey).

dc.titleModified dynamic time warping (MDTW) for estimating temporal dietary patterns
dc.typeConference Paper
dcterms.source.volume2018-January
dcterms.source.startPage948
dcterms.source.endPage952
dcterms.source.title2017 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 - Proceedings
dcterms.source.series2017 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 - Proceedings
dcterms.source.isbn9781509059904
curtin.departmentSchool of Public Health
curtin.accessStatusFulltext not available


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