Bridging the Gap: AI-Driven Interpretation of Sensor Data for Enhanced Clinical Decision-Making in Rehabilitation
Challenge:
Bridging the Gap: AI-Driven Interpretation of Sensor Data for Enhanced Clinical Decision-Making in Rehabilitation
Entity:
LUNEX University
Background Information:
Sensing technologies such as 3D cameras, wearable motion sensors, force sensing solutions etc., have been around for decades providing objective and precise approaches to evaluating the human sensory-motor status. The data collected from the devices mentioned above are relevant in understanding, e.g. the level of recovery in rehabilitation (clinical decision making) or for preventing purposes from avoiding the insurgence of a disease or an accident (e.g. fall prevention). However, such data has never been consistently used in clinical practice. Why? Because of the missing link between the massive amount of collected data and clinically understandable indications for the clinical professionals involved in the rehabilitation process or the physical activity maintenance of community-dwelling people (especially older adults with mobility limitations).
Challenge Description:
The challenge is to develop an AI-based series of algorithms to extract clear, clinically meaningful and validated information, e.g. the level of a validated scale for a specific condition (UPDRS motor section value for Parkinson’s) via data collected during a simple motor task (body motion during a couple of meters walk). Solving this challenge will positively impact the clinical rehabilitation process in terms of quantity and quality, improving and optimising the clinical decision-making process towards faster-reaching recovery targets.
What They Are Looking For:
A series of AI-based algorithms will be developed and trained to provide clinical professionals with usable and feasible indications on the sensory-motor status of the trained patient to guide the clinical decision-making process during the rehabilitation process
Do you have a solution that can address this challenge?
If you believe your solution can make a difference, please contact our Open Innovation Manager to explore potential collaborations.