Geng Jia Zhang

Title: Geng Jia Zhang: Innovator in Blood Pressure Estimation

Introduction

Geng Jia Zhang is a notable inventor based in Gwangju, South Korea. He has made significant contributions to the field of medical technology, particularly in the estimation of blood pressure using advanced algorithms.

Latest Patents

One of his key inventions is a patent titled "Blood pressure estimation method using cascade forest regression model." This innovative method relates to estimating blood pressure from photoplethysmography (PPG) signals. The process involves extracting various blood flow characteristics from PPG signals for training purposes. It also includes calculating systolic and diastolic blood pressures from ambulatory blood pressures, labeling these pressures with the extracted characteristics, and training a cascade forest regression model. Ultimately, the trained model can determine the systolic and diastolic blood pressures of a target user based on their PPG signals. Geng Jia Zhang holds 1 patent for this invention.

Career Highlights

Geng Jia Zhang is affiliated with the Industry-Academic Cooperation Foundation at Chosun University. His work focuses on bridging the gap between academic research and practical applications in the medical field.

Collaborations

He has collaborated with notable colleagues, including Jae Hyo Jung and Dae Gil Choi, to advance research and development in his area of expertise.

Conclusion

Geng Jia Zhang's innovative approach to blood pressure estimation showcases the potential of using advanced algorithms in healthcare technology. His contributions are paving the way for more accurate and accessible health monitoring solutions.