AIMC Topic: Feeding Behavior

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Alterations in the functional MRI-based temporal brain organisation in individuals with obesity.

Diabetes, obesity & metabolism
AIMS: Obesity is associated with functional alterations in the brain. Although spatial organisation changes in the brains of individuals with obesity have been widely studied, the temporal dynamics in their brains remain poorly understood. Therefore,...

Examining the biological causes of eating disorders to inform treatment strategies.

Nature reviews. Neuroscience
Despite their prevalence, eating disorders (EDs) are under-researched and often misunderstood. A recent focus of research on the biological underpinnings of EDs has helped to reframe our understanding of their origins, but there remain a lack of effe...

A Systematic Review of Sensor-Based Methods for Measurement of Eating Behavior.

Sensors (Basel, Switzerland)
The dynamic process of eating-including chewing, biting, swallowing, food items, eating time and rate, mass, environment, and other metrics-may characterize behavioral aspects of eating. This article presents a systematic review of the use of sensor ...

A controllable dual-catapult system inspired by the biomechanics of the dragonfly larvae's predatory strike.

Science robotics
The biomechanics underlying the predatory strike of dragonfly larvae is not yet understood. Dragonfly larvae are aquatic ambush predators, capturing their prey with a strongly modified extensible mouthpart. The current theory of hydraulic pressure be...

Robot-assisted feeding: A technical application that combines learning from demonstration and visual interaction.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: The traditional meal assistance robots use human-computer interaction such as buttons, voice, and EEG. However, most of them rely on excellent programming technology for development, in parallelism with exhibiting inconvenient interaction...

Assessment of In-Meal Eating Behaviour using Fuzzy SVM.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Certain patterns of eating behaviour during meal have been identified as risk factors for long-term abnormal eating development in healthy individuals and, eventually, can affect the body weight. To detect early signs of problematic eating behaviour,...

Detecting Meals In the Wild Using the Inertial Data of a Typical Smartwatch.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Automated and objective monitoring of eating behavior has received the attention of both the research community and the industry over the past few years. In this paper we present a method for automatically detecting meals in free living conditions, u...

Personalised meal eating behaviour analysis via semi-supervised learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Automated monitoring and analysis of eating behaviour patterns, i.e., "how one eats", has recently received much attention by the research community, owing to the association of eating patterns with health-related problems and especially obesity and ...

FOOD INTAKE, NUTRITIONAL STATUS AND GASTROINTESTINAL SYMPTOMS IN CHILDREN WITH CEREBRAL PALSY.

Arquivos de gastroenterologia
BACKGROUND: Cerebral palsy may be associated with comorbidities such as undernutrition, impaired growth and gastrointestinal symptoms. Children with cerebral palsy exhibit eating problems due to the effect on the anatomical and functional structures ...