PCN secures ‘AI walking data’ to combat degenerative arthritis… Largest in Korea
PCN has built a high-quality walking biosignal dataset for artificial intelligence (AI) learning that can diagnose musculoskeletal diseases such as degenerative arthritis at an early stage.
PCN has completed the ‘Building Biosignal Data for Musculoskeletal Diseases’ project, which was conducted as part of the ‘Super-Giant AI Spreading Ecosystem Creation Project’ hosted by the Ministry of Science and ICT and the Korea Intelligence and Information Society Agency (NIA).
The project was promoted to establish a foundation for quantitative analysis and screening of musculoskeletal diseases that are difficult to detect early. PCN formed a consortium with Professor Cho Min-woo of the Department of Convergence Medicine at Seoul National University Hospital and AllBigDet to lead data construction and quality control.
Through this project, PCN completed the largest-scale measurement of subjects at home and abroad. Various walking patterns and biosignal data were obtained using smart insoles (I-SOL), inertial measurement unit (IMU) sensors, and walking mats for patients with degenerative arthritis and the general public.
In particular, rather than a simple one-time measurement, 15-day follow-up observations were conducted on all subjects to increase data reliability. By securing long-term data based on real life and minimizing errors, we raised the quality of the dataset to a level where it can be immediately used in medical settings.
The constructed data will be opened through the AI integration platform ‘AI Hub’ in the future. It is expected to be used in various fields such as industry, academia, and research to improve the accuracy of early diagnosis of degenerative arthritis, develop digital treatment devices, and advance customized prognosis prediction solutions.
PCN CEO Song Gwang-heon said, “With the completion of this project, we have proven that PCN’s data construction know-how and technology are also effective in the healthcare field,” and added, “We hope that the secured data will become the basis for driving innovation in the musculoskeletal disease management system.”
Reporter Taewoong Ryu bigheroryu@etnews.com
