Our models have been trained in individuals from 18-90yrs old. However age can potentially have an impact on the readings obtained using Vastmindz's remote photoplethysmography (rPPG) technology, as physiological changes associated with aging may influence vital signs and health parameters. For example, older individuals may experience changes in skin elasticity, blood vessel structure, and heart function, which could affect the measurements obtained using Vastmindz's solution. However, Vastmindz is designed to account for variations in age and other demographic factors when extracting health parameters. The company achieves this through the following approaches: ‍ Diverse training data: Vastmindz collects extensive datasets containing video recordings and physiological data from a wide range of participants with different ages, skin tones, and ethnic backgrounds. This diverse data helps train and validate their algorithms to perform well across various age groups. ‍ Advanced algorithms: Vastmindz uses advanced machine learning techniques and signal processing methods that can adapt to age-related physiological variations, enabling accurate extraction of vital signs and health parameters for individuals of different ages. ‍ Continuous improvement: Vastmindz is committed to refining and updating its algorithms based on feedback, new research, and emerging trends in the industry. By continuously improving their technology, the company ensures that it remains effective for individuals across different age groups.By considering age-related factors and ensuring that their technology adapts to physiological variations, Vastmindz aims to provide accurate and reliable health monitoring solutions for users of all ages.