Ontology highlight
ABSTRACT: Background
Diet-related diseases, such as type 2 diabetes, require strict dietary management to slow down disease progression and call for innovative management strategies. Conventional diet monitoring places a significant memory burden on patients, who may not accurately remember details of their meals and thus frequently falls short in preventing disease progression. Recent advances in sensor and computational technologies have sparked interest in developing eating detection platforms.Objective
This review investigates central hemodynamic and thermoregulatory responses as potential biomarkers for eating detection.Methods
We searched peer-reviewed literature indexed in PubMed, Web of Science, and Scopus on June 20, 2022, with no date limits. We also conducted manua
SUBMITTER: Chikwetu L
PROVIDER: S-EPMC11422732 | biostudies-literature | 2024 Sep
REPOSITORIES: biostudies-literature