Personalized Metabolic Avatar: A Data Driven Model of Metabolism for Weight Variation Forecasting and Diet Plan Evaluation

Abstract

Development of predictive computational models of metabolism through mechanistic models is complex and resource demanding, and their personalization remains challenging. Data-driven models of human metabolism would constitute a reliable, fast, and continuously updating model for predictive analytics. Wearable devices, such as smart bands and impedance balances, allow the real time and remote monitoring of physiological parameters, providing for a flux of data carrying information on user metabolism. Here, we developed a data-driven model of end-user metabolism, the Personalized Metabolic Avatar (PMA), to estimate its personalized reactions to diets. PMA consists of a gated recurrent unit (GRU) deep learning model trained to forecast personalized weight variations according to macronutrient composition and daily energy balance. The model can perform simulations and evaluation of diet plans, allowing the definition of tailored goals for achieving ideal weight. This approach can provide the correct clues to empower citizens with scientific knowledge, augmenting their self-awareness with the aim to achieve long-lasting results in pursuing a healthy lifestyle.

Evaluation of the Chewing Pattern through an Electromyographic Device

“…It is possible to see the circuit diagram and the correct placement of the electrodes in Figure 1a,b, respectively. As demonstrated in [25], the data collected using EMG technology, from which the masticatory features are extracted, are repeatable and reproducible. Regarding the noise of the signal, the muscle v3 modules are used because they contain a circuit with diodes to rectify the signal, an active low-pass filter to eliminate noise and another active As demonstrated in [25], the data collected using EMG technology, from which the masticatory features are extracted, are repeatable and reproducible.…”

“…The masticatory behavior is evaluated using the Chewing device, which uses electromyographic technology. Electromyography (EMG) is a technique that allows the measurement of the electrical activity produced by muscles during contraction [25]. Since the masseter and temporal muscles are the most important muscles in mastication, the first one was chosen for monitoring as it is more easily accessible.…”

Beyond mechanical loading: The metabolic contribution of obesity in osteoarthritis unveils novel therapeutic targets

“…Over the last decade, technological applications and devices have aided in the maintenance of healthy behaviors. Web-based weight loss intervention programs helped many people to reduce their BMI scores [ [182] , [183] , [184] ]. For example, ArmOnIA is an online digital tool that incorporates dietary, anthropometric, and physical activity data and produces an individual’s estimation of energy balance [ 182 ].…”

“…This model can predict the individuals’ responses to diet, physical activity and environmental and psychological factors. Thus, PMA could evaluate each diet plan and help to reach the ideal BMI [ 184 ]. Both ArmOnIA and PMA can raise public self-awareness and help people pursue a healthy life and observe long-lasting outcomes [ 182 , 184 ].…”

“…Thus, PMA could evaluate each diet plan and help to reach the ideal BMI [ 184 ]. Both ArmOnIA and PMA can raise public self-awareness and help people pursue a healthy life and observe long-lasting outcomes [ 182 , 184 ].…”