IEEE Transactions on Neural Systems and Rehabilitation Engineering

- In collaboration with GIST, Principal Researcher An Jinung’s team has implemented an AI that classifies pain intensity by analyzing brain waves based on thermal stimuli. - The limitations of subjective expressions that vary from patient to patient are overcome... An innovative learning strategy is adopted to filter out low-reliability data - The research results were published in the May issue of IEEE TNSRE: the possibility of assessing pain in patients who have difficulty expressing themselves is presented.

- The coil interface, designed as an inductive electric field gradient-enhanced coil for peripheral nerve stimulation, was 3D-printed and successfully verified - Expected to contribute to the treatment of chronic pain and nerve disorders, with improved stimulation efficiency achieved by reducing heat generation and energy consumption - Research findings published in the esteemed journal, ‘IEEE Transactions on Neural Systems and Rehabilitation Engineering’

A research team, affiliated with South Korea's Ulsan National Institute of Science and Technology (UNIST) has presented a system that can quantitatively complement the diagnosis of knee arthritis, which was performed only by x-ray and doctor’s judgment.

A research team, led by South Korea's Ulsan National Institute of Science and Technology (UNIST) has introduced a new robotic tool for assessments of muscle overactivity and movement dysfunction in stroke survivors. Their findings appeared in the the prestigious journal, IEEE Transactions on Neural Systems and Rehabilitation Engineering.