Alzheimer’s increases fall risks by 23%. Traditional methods, like bed alarms, merely react to falls after they occur, missing crucial prevention opportunities.
Menu
Our pioneering system marries advanced 3-D computational imaging with AI, setting a new standard in physiotherapy and elderly care technology.
With five pending patents, and powered by the research and development strength of the University of Arizona, our team of experts, led by Professor of Aerospace & Mechanical Engineering and Biomedical Engineering at the University of Arizona, Kavan Hazeli, is redefining physiotherapy practices and home care for seniors.
Our unique fall prediction system is a game-changer in the healthcare market. It’s designed to address the growing demand for effective elderly care solutions, providing a proactive approach to fall prediction by monitoring, assessing, and aiding balance for better independent living.
Alarming Statistics
Alzheimer’s increases fall risks by 23%. Traditional methods, like bed alarms, merely react to falls after they occur, missing crucial prevention opportunities.
Alzheimer’s increases fall risks by 23%. Traditional methods, like bed alarms, merely react to falls after they occur, missing crucial prevention opportunities.
Alzheimer’s increases fall risks by 23%. Traditional methods, like bed alarms, merely react to falls after they occur, missing crucial prevention opportunities.
Where innovation meets geriatric care. Our pioneering system marries advanced 3-D computational imaging with AI, setting a new standard in elderly care technology.
