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Years Active: 2021
Title: Innovations of Jing-Ming Yang in Physiological Signal Processing
Introduction
Jing-Ming Yang is a notable inventor based in Shenzhen, China. He has made significant contributions to the field of biomedical engineering, particularly in the area of physiological signal processing. His innovative approach has led to the development of a unique method for fusing sensor signals, which enhances the accuracy of physiological monitoring devices.
Latest Patents
Yang holds a patent for a method titled "Fusing sensor signals indicating a same physiological parameter based on quality indices of each signal." This computer-implemented method involves acquiring at least two kinds of physiological signals through a sensor. The processor of the monitoring device evaluates the quality of each signal and provides corresponding physiological parameter values. By fusing these values based on their quality indices, the method improves the reliability of physiological monitoring, avoiding the pitfalls of relying on a single signal. Yang's innovative approach has resulted in 1 patent that addresses critical challenges in physiological signal processing.
Career Highlights
Throughout his career, Jing-Ming Yang has worked with prominent companies in the biomedical sector. He has been associated with Shenzhen Mindray Bio-medical Electronics Co., Ltd. and Shenzhen Mindray Scientific Co., Ltd. His work in these organizations has allowed him to apply his expertise in developing advanced monitoring devices that benefit healthcare professionals and patients alike.
Collaborations
Yang has collaborated with talented individuals in his field, including Ze-Hui Sun and Jiao Yu. These collaborations have contributed to the advancement of technologies in physiological monitoring and signal processing.
Conclusion
Jing-Ming Yang's contributions to the field of biomedical engineering, particularly through his innovative patent, have significantly impacted physiological monitoring technology. His work exemplifies the importance of advancements in this area, which ultimately enhances patient care and monitoring accuracy.