Evidence map›Paper›PMID 38079368›Full record

ArticleIEEE journal of biomedical and health informatics2024

Detecting Eating Episodes From Wrist Motion Using Daily Pattern Analysis.

Zeyu Tang, Adam Patyk, James Jolly, Stephanie P Goldstein, J Graham Thomas, Adam Hoover

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE journal of biomedical and health informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zeyu Tang
Adam Patyk
James Jolly
Stephanie P Goldstein
J Graham Thomas
Adam Hoover

Funding

Using Multimodal Real-Time Assessment to Phenotype Dietary Non-Adherence Behaviors that Contribute to Poor Outcomes in Behavioral Obesity TreatmentR01DK132210 · NIDDK · MIRIAM HOSPITAL · PI Stephanie Paige Goldstein · 2022 to 2026
$3.1M
Optimizing Just-in-Time Adaptive Intervention to Improve Dietary Adherence in Behavioral Obesity Treatment: A Micro-randomized TrialR01HL153543 · NHLBI · MIRIAM HOSPITAL · PI GOLDSTEIN, STEPHANIE PAIGE · 2020 to 2023
$2.6M
Validating Sensor-based Approaches for Monitoring Eating Behavior and Energy Intake by Accounting for Real-World Factors that Impact Accuracy and AcceptabilityR01DK135679 · NIDDK · CLEMSON UNIVERSITY · PI Stephanie Paige Goldstein, Adam Hoover · 2023 to 2026
$2.4M
NHLBI NIH HHS R01 HL153543NIDDK NIH HHS R01 DK132210NIDDK NIH HHS R01 DK135679
6 · The paper itself

Abstract

This paper presents new methods to detect eating from wrist motion. Our main novelty is that we analyze a full day of wrist motion data as a single sample so that the detection of eating occurrences can benefit from diurnal context. We develop a two-stage framework to facilitate a feasible full-day analysis. The first-stage model calculates local probabilities of eating P(E

Indexed as

AlgorithmsWristHumansMealsMotionProbability

Identifiers

PMID38079368
PMCPMC10904729

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.