Abstract

The Ai-move team is creating a digital service that analyses objective measures of human movement for early detection of movement dysfunction in workers. Employees benefit from early intervention and motivational support. Employers and society benefit from improvements in productivity and lower costs through optimal health, targeted prevention and measurement of outcomes. 

About the project

Movement related disorders are often detected late leading to high costs and unnecessary suffering. In this EIT Digiatal project we are developing a platform that will provide machine learning algorithms for analyzing human movement with the aim to prevent negative work related outcomes. A visualisation platform will also provide decision support for health providers and self-managing patients. The project is funded by EIT Digital and the developed service will be taken to market by Qinematic.

The work in the project is based on the Qinematic software for capturing and analysing body movements. The service is automated, making high volume 3D scanning possible. Based on a large amount of previous gathered data, a machine learning engine will be developed. It will generate novel classification models and early detection algorithms for workers at risk. The 3D-visualisation platform will motivate patients to adhere to recommendations, and make it possible for health providers to implement effective remote services.

The service

The service with automated analytics and engaging visualisation of movement pattern has the potential to reduce costs substantially, through early detection of potential and existing work related problems, improved clinical pathways for management, and empowerment of the individual through knowledge and motivation. Decision support for health providers and self-managing patients will save considerable resources and introduce precision medicine to physiotherapy and primary health care.

The scenario

A large number of employees suffer from musculoskeletal disorders incurred at work or at home. Problems frequently occur in younger employees and aging populations. Qinematic's Posture Scan service gathers detailed information about movement patterns. This data can be used to reveal existing or potential problems, often even before symptoms arise. Over time, individuals can see their own progress and can compare to population based data. The results are used by health providers to personalise recommendations such as specific exercises, and individuals are offered motivational support. Through scientifically validated assessments and 3D visualisation, the service improves awareness and empowers people to be proactive about maintaining optimal health and /or compliance with rehabilitation plans. Injured employees respond much better to early and individualised interventions, and all employees will enjoy a better quality of life, without the torment of pain or dysfunction at work. Modern and personal positive health services like Ai-Move make employers more attractive, improve retention, increase productivity and reduce the risk, and the cost, of sickness absence and job dissatisfaction.

 

 

The Ai-move Project is part of an activity that has received funding from the European Institute of Innovation and Technology (EIT). This body of the European Union receives support from the European Union's Horizon 2020 research and innovation programme.

 

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