INPACT – Intelligent Platform for Autonomous Collaborative Telerehabilitation
Project name: INPACT – Intelligent Platform for Autonomous Collaborative Telerehabilitation
Description: The prevalence of musculoskeletal problems is increasing, due to sedentary lifestyle and aging populations. This will tend to increase the needs and the demand for rehabilitation care, ideally carried out continuously to maintain the mobility and activity of citizens. This continuity is not sustainable for any health system and represents a social, economic, and psychological burden for patients and their families. Telerehabilitation can be a solution, empowering citizens to manage the disease and promote their health. The cost savings in travel, face-to-face therapy sessions, absenteeism and medication are significant. It allows a greater frequency in exercise sessions in the comfort associated with home and motivates the patient to carry out a program in a personalized way, through an interactive component that introduces serious games elements to increase the levels of adherence. Scientific evidence on the effectiveness of telerehabilitation shows similar or superior results when compared to conventional interventions. This proposal seeks to be cost-effective and facilitate access and equity to rehabilitation care, with an impact on the reduction of waiting lists. It will allow the development of a low-cost telerehabilitation platform, with a user interface capable of suggesting exercises remotely pre-configured by a therapist. The system monitors the user's performance and gives feedback in real time. It is innovative in the sense that it allows a holistic visual perception of the user's body movement, without the use of markers and with an autonomous ability to analyze its performance using machine learning techniques. The information obtained for each user is centralized in the cloud, allowing an autonomous temporal analysis of the user's performance over several rehabilitation sessions and the generation of alarms for the therapist whenever there is a deviation from the plan.
PI: Paulo Peixoto
Reference: CENTRO-01-0247-FEDER-047148
Partners: Universidade de Coimbra
Duration of the action: 2020-01-01 - 2023-06-30
Ver ficha de projeto: Download