AI-powered predictive analytics platform that analyzes human motion and physiological data to identify injury risk in clinical and rehabilitation settings. Uses motion capture and biomechanical analysis to support clinical decision-making for injury prevention and patient monitoring.
Manufactured by
JEIOS Inc.
Sasang-gu, South Korea
As human motion is closely related to the brain, a deterioration in brain results in impairment of human motion. It s difficult to detect the deterioration visually nor are we able to measure how far the deterioration is from the norm. MOTIONCORE was initially developed to create a solution that support the diagnoses of Parkinson s disease by detecting and analyzing dynamic characteristics of human motion. We have acquired Orthopedics, Otorhinolaryngology, Neurology, and Cardiology patient s motion data, 15,000 healthy and 15,000 diagnosed and labeled by medical doctors, and approved by the IRB (Institutional Review Board) to create a mathematical model of human motion. Then, using simulation based AI we were able to quantify and standardize motion data for different health conditions.
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