Artificial Neural Network-Based Automatic Detection of Food Intake for Neuromodulation in Treating Obesity and Diabetes.

Elisabeth R M HeremansAmy S ChenXimeng WangJiafei ChengFeng XuAgustin E MartinezGeorgios LazaridisSabine Van HuffelJiande D Z Chen

Published in: Obesity surgery (2021)

Automatic food intake detection by ANNs, using features from the HRV, is feasible and may have a great potential for neuromodulation-based treatments of meal-related disorders.

Keyphrases

neural network
type diabetes
loop mediated isothermal amplification
deep learning
real time pcr
label free
metabolic syndrome
machine learning
insulin resistance
cardiovascular disease
weight loss
glycemic control
body mass index
physical activity
risk assessment
skeletal muscle
climate change
quantum dots