Method, Apparatus and System for Food Intake and Physical Activity Assessment
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The invention involves a multi-layered AI approach that includes AI software to automatically detect and draw regions of interest (ROI) around organs in each image frame, computational refinement layers to minimize artifacts such as patient motion and optimize AI output, and automated calculation of ejection fractions after excluding bad data. By integrating AI, the invention offers real-time data evaluation, improving the efficiency and accuracy of nuclear medicine procedures. It enhances protocol efficiency and patient safety through the use of advanced AI for accurate and real-time data analysis, ultimately improving care quality.
A device is provided to be placed on a subject which records video using at least two video cameras positioned to record stereoscopic image pair, as well as other physiological and/or environmental data including, for example, oxygen saturation, heart rate, and environmental factors such as physical location, temperature, and humidity. Electronic systems, devices and methods are provided to accurately record and analyze food intake and physical activity in a subject. Electronic systems, devices and methods are provided to accurately record and analyze food intake and physical activity in a subject.
University of Pittsburgh researchers have developed an innovative behavioral health intervention, ClockWork, that targets four key behavioral health risk factors—light/dark exposure, sleep, eating, and physical activity—each regulated by the circadian timing system (CTS). The intervention includes 12 in-person or telephonic sessions with a ClockWork coach, during which participants learn to optimize their light/dark exposure, sleep patterns, eating habits, and physical activity. Unlike traditional interventions that focus on one behavior at a time, ClockWork uses a circadian framework to integrate the regulation of sleep, eating, physical activity, and light/dark exposure.