Singapore, Singapore

Soon Yin Tjan

This inventor holds 1 USPTO granted patent. Top assignees: Agency for Science, Technology and Research, Tan Tock Seng Hospital Pte Ltd. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Soon Yin Tjan. Retrieved from https://idiyas.com/inventor/soon-yin-tjan

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovations of Soon Yin Tjan

Introduction

Soon Yin Tjan is a notable inventor based in Singapore, recognized for his contributions to the field of electroencephalogram (EEG) signal processing. His innovative work focuses on identifying and extracting pain-related EEG signals, which has significant implications for medical research and patient care.

Latest Patents

Soon Yin Tjan holds a patent for a process that identifies and extracts pain-related electroencephalogram signals. This patent involves receiving EEG data from multiple trials, determining current density for each signal, and estimating current density for specific neural activity regions. The process allows for the calculation of mean and variance changes in EEG data, enabling the identification of pain-related signals based on predetermined thresholds.

Career Highlights

Throughout his career, Soon Yin Tjan has worked with prominent organizations such as the Agency for Science, Technology and Research and Tan Tock Seng Hospital. His experience in these institutions has contributed to his expertise in EEG signal processing and pain research.

Collaborations

Soon Yin Tjan has collaborated with notable colleagues, including Kok Soon Phua and Hai Hong Zhang. These partnerships have furthered his research and development in the field of neuroscience.

Conclusion

Soon Yin Tjan's innovative work in identifying and extracting EEG signals represents a significant advancement in understanding pain mechanisms. His contributions to the field highlight the importance of interdisciplinary collaboration in driving medical innovations.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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