ArticlePhysiological measurement2009
Comment on 'Non-invasive monitoring of chewing and swallowing for objective quantification of ingestive behavior'.
Article in Physiological measurement, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
- Comment on
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The paper of Sazonov et al (2008 Physiol. Meas. 29 525-41) addresses the topic of on-body sensor-based measurement and analysis of food intake and eating behaviour. The authors rightly pinpoint a lack of solutions to estimate eating behaviour and energy intake in contrast to the active development of energy expenditure prediction tools. Unfortunately, Sazonov and colleagues have missed reviewing a considerable amount of published research in the field of ubiquitous and wearable computing. Moreover, it should be noted that objective measurement techniques exist for laboratory studies of chewing and swallowing that could have served for the validation of their work. This letter summarizes relevant related works and identifies refinements of the study methodology suggested by Sazonov et al. Food intake behaviour is very variable and hard to capture. Nevertheless, the approaches towards automatic dietary monitoring (ADM) cited in this letter confirm the broad potential for sensing and pattern recognition techniques. ADM could eventually supplement or replace intake diaries.
Indexed as
Identifiers
19398813What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.