Stefano Capezzone

ORCID: 0009-0001-1857-5043
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About
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Research Areas
  • Nutritional Studies and Diet
  • Regulation of Appetite and Obesity
  • Mobile Health and mHealth Applications
  • Ergonomics and Musculoskeletal Disorders
  • Diet and metabolism studies
  • Temporomandibular Joint Disorders
  • Salivary Gland Disorders and Functions
  • Advanced Sensor and Energy Harvesting Materials

Developing predictive computational models of metabolism using mechanistic approaches is complex and resource intensive. Data-driven offer a reliable, fast, continuously updating solution for analytics. Previously, we developed the Personalized Metabolic Avatar (PMA), gated recurrent unit deep learning model, to forecast personalized weight variations based on macronutrient composition daily energy balance. This model allows diet plan simulations tailored goal setting, empowering individuals...

10.1016/j.compbiomed.2025.109879 article EN cc-by Computers in Biology and Medicine 2025-02-19

Chewing is essential in regulating metabolism and initiating digestion. Various methods have been used to examine chewing, including analyzing chewing sounds using piezoelectric sensors detect muscle contractions. However, these struggle distinguish from other movements. Electromyography (EMG) has proven be an accurate solution, although it requires attached the skin. Existing EMG devices focus on detecting act of or classifying foods do not provide self-awareness habits. We developed a...

10.3390/bios13070749 article EN cc-by Biosensors 2023-07-20

Maintaining plasma glucose homeostasis is vital for mammalian survival, but the masticatory function, which influences regulation, has been overlooked. In this study, we investigated relationship between glycaemic response curve and chewing performance in a group of 8 individuals who consumed 80 grams apple. A device called "Chewing" utilizing electromyographic (EMG) technology quantitatively assesses pattern, while glycemic analysed using continuous monitoring. We assessed pattern...

10.1016/j.nut.2024.112481 article EN cc-by Nutrition 2024-05-03
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