This inventor holds 1 USPTO granted patent. Top assignees: Korea Research Institute of Standards and Science, Shinsung University Industry-Academia Cooperation Group. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 2022
Title: Innovations by Sung Kyun Im in Stroke Detection
Introduction
Sung Kyun Im is an innovative inventor based in Seoul, South Korea. He has made significant contributions to the field of medical technology, particularly in the area of stroke detection through voice analysis. His work aims to enhance the accuracy and efficiency of identifying stroke patients.
Latest Patents
Sung Kyun Im holds a patent for a "System and method for determining stroke based on voice analysis." This invention relates to a system that collects voice data from subjects to extract and analyze voice onset times. By doing so, it determines the likelihood of a subject being a stroke patient based on their voice characteristics. The system generates voice data from subjects reading predetermined words that include plosive sounds. It then calculates probability parameters for both normal individuals and stroke patients, applying Bayes' theorem to make accurate determinations.
Career Highlights
Throughout his career, Sung Kyun Im has worked with notable institutions such as the Korea Research Institute of Standards and Science and the Shinsung University Industry-Academia Cooperation Group. His experience in these organizations has allowed him to develop and refine his innovative ideas in medical technology.
Collaborations
Sung Kyun Im has collaborated with colleagues such as Hea Sol Kim and Seoung Eun Kim. Their teamwork has contributed to the advancement of his research and the successful development of his patented technology.
Conclusion
Sung Kyun Im's work in stroke detection through voice analysis represents a significant advancement in medical technology. His innovative approach has the potential to improve patient outcomes and streamline the diagnostic process.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile