6G-PATH

This use case aims to validate and evaluate an innovative approach to provide a higher level of elderly monitoring and care. This use case relies on 5G/6G-enabled networks to provide continuous monitoring of the elderly through wearable devices and other non-invasive monitoring tools, which require real-time data analysis and processing to increase elderly security and increase their quality of life. The device's real-time transmission of gathered data, assistant features, and assisted workouts through novel AI-powered data analysis enables advanced automatic pre and post-diagnostics and threat assessment that can trigger immediate intervention (emergency responders or care providers) and improve healthcare provider decision-making through better-informed data. This use case aims to deploy an integrated monitoring tool in a set of controlled elderly populations with the following set of wearables, sensors, and devices:

• Smartwatch with a multitude of sensors, advanced fall detection coupled with an analytics application analysing the patient data and assessing the risk of fall
• Pain detection algorithm for smart wearable devices.
• 3D Body Tracking Sensor running the myReha Coaching App acting as workout diary and training assistant
• Telehealth platform for storing patient records and OTT multimedia services for regular teleconferencing between the elderly and their hospital doctors.

Besides the state-of-the-art sensors and knowledge gathered by these sensors, this use case aims to assess the feasibility and benefits of the usage of advanced sensors (such as pain detection, integrated sensors that include glucose measurement and in- and outdoor air quality) with edge and core data processing through AI-powered algorithms that can in real-time provide enhanced knowledge for the patient or residents and medical staff, but also input to the smart virtual assistant that can provide enhanced feedback and support to the elderly person.