Mobile AI Elderly Fall Risk Assessment
Fall risk assessment is used to identify the risk level and risk factors, so as to prevent falls and reduce the chance of injury. Conventional assessments often involve questionnaires or functional assessment (e.g. Timed Up and Go, 4 Stage Balance) of posture, gait, cognition, and other fall risk factors. However, these clinical assessments are usually subjective and qualitative.
Quantitative measurements of balance and those gait parameters could provide a more accurate and actionable insight for the elderly. However, a comprehensive analysis is usually conducted in a lab with lots of equipment such as high-speed cameras and force platforms. Also, the data collected has to be analysed by professionals. These time-consuming processes are difficult to practically integrate into typical clinic practice.
A wearable, compact device was invented in order to simplify the gait analysis processes with easy access to those gait parameters. Its assessment test only takes 5 mins and can be conducted anywhere. The data collected will be associated to fall vulnerability with the help of cloud and artificial intelligence (AI).
This technology enables a simple, efficient and affordable approach for elderly everywhere to benefit from early awareness and prevention of serious health risks.