iCare Project Overview
The iCare project aims to support the disables who want to restore the motor function lost by stroke, injury or other reasons.
Recently, the proportion of elderly people increases as the average live expectancy increases and accordingly, the incidence of neuromuscular diseases such as stroke increases rapidly. Rehabilitation is an iterative, intensive and long-term activity which is boring and requires much patience, effort and training in terms of time and cost, from both patient and therapists. It is also a time-dependent process for the effectiveness of the rehabilitation and normally performed at clinical facilities because it requires supervision and control by clinical staffs. As a result, there is an increasing demand for rehabilitation systems that can manage the rehabilitation program regardless of time and place. Taking such demand, iCARE's major goal is to develop the at-home assist-as-needed rehabilitation system with connected intelligent sensors and actuators working in a collaborative manner.
Today's rehabilitation equipment is facing innovative changes due to dramatical advance of ICT such as IoT (Internet of Thing), data science and AI (artificial intelligence). Combination of current rehabilitation technology with such advanced ICT is anticipated to facilitate at-home rehabilitation and automated rehabilitation which demand smart and safe adaptation of rehabilitative systems to patient's status and recovery level thanks to local (distributed) and real-time intelligence while providing easy operation of the systems. For example, distributed and real-time AI will allow companies to innovate their products like wearable rehabilitation systems for lower-limbs- in the case of EXOSYSTEMS and GOGOA- reducing their effort to make rehabilitation program manually and enabling to automatically generate gamified training with real-time feedback. In addition, functional electrical stimulation (FES) adopting AI will allow more portable and affordable solutions for at-home use.
AI-based approach with real-time computation will offer extremely customized setting and enhance usability, comfort, safety and satisfaction of resulting applications. A distributed operating manner also gives fast and accurate estimation of body segments (lower or upper limbs) status, allowing companies like EXOSYSTEMS to develop automatic adaptation of the system, leading more competitive position on the market and gaining additional market share.
These days, companies like IHS WEIGLING and GOGOA Mobility Robots, that are offering classical electronics and mechanics for sensing and actuating devices, are facing new market trend which is integration of AI technology into sensing and actuating electronics with local computing power. Hence, successful implementation of such challenge will facilitate companies like IHS WEIGLING and GOGOA Mobility Robots to not only lead the market but also extend its market to various area.
The main goals will be achieved by addressing innovation aspects like
Development of a module enhancing the AI-related calculation which can meet the real-time feedback and actuation of complex multi-sensing multi-actuation system
Development of distributed interactive software that intelligently deals with bio-signal sensing and body limbs actuation to replace centralized AI-based estimation and control of rehabilitation systems
Design of an automatic rehabilitation program supporting assist-as-needed rehabilitation
Automatic management of body-segments diversity by AI adaptation
Optimal design of physical actuation modules for rehabilitating and supporting functional capabilities for the autonomy of the patient during daily life activities.
The consortium is representing the overall business and technological value chains needed for reaching the project goals and, after having completed the project successfully, transferring the results into the domains of rehabilitation, smart bio-sensing and bio-actuating, towards digital healthcare platform. The domains covered by iCARE are represented by innovative SMEs and research partners capable of completing all innovation aspects addressed.