AI-driven initiative aims to create a system for tracking advancement of musculoskeletal diseases
In a groundbreaking collaboration, a new project named KINESSENSOR has been launched by Blautic Designs, AIMPLAS, IMSKE, Crespo Printing Group, and UPV. Funded by the Valencian Institute of Competitiveness and Innovation (IVACE+i) and the European Regional Development Fund (ERDF), KINESSENSOR aims to develop an AI-powered, portable system for identifying, monitoring, and tracking joint, ligament, or muscle injuries or pain, with a particular focus on arthrogenic muscle inhibition (AMI).
The goal of KINESSENSOR is to revolutionise healthcare by providing objective tools for healthcare professionals to confirm diagnoses and monitor disease progression, addressing a significant gap in current practices. The project's strategic line of printed sensors in healthcare could address current social and healthcare challenges, aligning with Sustainable Development Goals 3, 8, and 9.
The incorporation of AI in KINESSENSOR is central to its success. By identifying patterns that allow healthcare professionals to correct them immediately, the AI component ensures timely and effective intervention. The system integrates flexible printed sensors into kinesiology bands or orthoses for immediate and specific measurement of critical variables, enabling patients to perform rehabilitation exercises and treatments at home with remote monitoring. This innovative approach improves outcomes, reduces costs, and recovery time.
KINESSENSOR's development is not only a step towards a line of printed sensors for the healthcare sector but also has the potential for a spin-off due to its novelty and high application potential. Javier Soriano from BLAUTIC emphasised that KINESSENSOR serves as a complementary tool for patients in their recovery process.
The World Health Organization reports that musculoskeletal disorders, including osteoarthritis, arthritis, and sports injuries, affect over 1.7 billion people globally. The development of KINESSENSOR advances the treatment of these disorders and contributes to more personalised, efficient, and accessible medicine.
Recent AI innovations combine imaging, machine learning, biomechanics, and wearable monitoring to advance the detection and management of conditions like AMI. Key developments include AI in medical imaging and diagnostics, biomechanical and movement pattern analysis, wearable technology integration, and load management and injury prevention algorithms.
These advancements collectively enable comprehensive identification, monitoring, and management of musculoskeletal injuries and related muscle inhibition by integrating imaging diagnostics, biomechanical analysis, and wearable sensor data. Continued research and clinical validation will enhance AI’s role in personalised treatment of AMI and musculoskeletal pain.
In summary, the latest advancements in AI-powered solutions for identification, monitoring, and tracking of musculoskeletal injuries or pain, particularly AMI, are transforming sports medicine and orthopedic rehabilitation, offering hope for millions of people affected by these conditions.
- The KINESSENSOR project, a collaboration between Blautic Designs, AIMPLAS, IMSKE, Crespo Printing Group, and UPV, is focused on developing an AI-powered, portable system for identifying and tracking joint, ligament, or muscle injuries or pain, especially arthrogenic muscle inhibition (AMI).
- This system aims to revolutionize healthcare by providing objective tools for healthcare professionals, addressing a significant gap in current practices, and aligning with Sustainable Development Goals 3, 8, and 9.
- The incorporation of AI in KINESSENSOR ensures timely and effective intervention by identifying patterns that allow healthcare professionals to correct them immediately.
- The system integrates flexible printed sensors into kinesiology bands or orthoses for immediate and specific measurement of critical variables, enabling patients to perform rehabilitation exercises and treatments at home with remote monitoring.
- The development of KINESSENSOR advances the treatment of musculoskeletal disorders, including osteoarthritis, arthritis, and sports injuries, which affect over 1.7 billion people globally.
- Recent AI innovations in medical imaging, diagnostics, biomechanical and movement pattern analysis, wearable technology integration, and load management and injury prevention algorithms are collectively transforming sports medicine and orthopedic rehabilitation, offering hope for millions affected by these conditions.
