Unknown

Dataset Information

Burst-pause criterion derivation for drinkometer measurements of ingestive behavior.


ABSTRACT: The drinkometer is a promising device for the study of ingestive behavior of liquid meals in humans. It can be used to investigate behavior in different target populations. However, ingestive behavior has a great variability across study participants. Therefore, a new analytical approach is required for the extraction and analysis of drinkometer-derived data that could account for this variability. We developed an optimized protocol to predict an optimal burst-pause criterion (PC) for the extraction of PC-dependent microstructural parameters of ingestive behavior. These describe the microstructure of bursts, while PC-independent parameters describe the microstructure of sucks. Therefore, a PC is required to analyze separately two physiologically different parts of behavior. To accomplish t

SUBMITTER: Serra M 

PROVIDER: S-EPMC9127353 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature