Singapore, Singapore

Hai Hong Zhang


 

Average Co-Inventor Count = 5.1

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2019-2025

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5 patents (USPTO):Explore Patents

Title: Innovations of Hai Hong Zhang in Electroencephalogram Technology

Introduction

Hai Hong Zhang is a prominent inventor based in Singapore, known for his significant contributions to the field of electroencephalogram (EEG) technology. With a total of 5 patents, Zhang has developed innovative methods for identifying and extracting EEG signals related to pain and fatigue states.

Latest Patents

Zhang's latest patents include groundbreaking processes that enhance the understanding of EEG data. One notable patent focuses on identifying and extracting pain-related EEG signals. This process involves receiving EEG data from multiple trials, determining current density for each signal, and estimating current density for specific neural activity regions. By calculating the mean and variance of changes in EEG data, Zhang's method allows for the identification of pain-related signals based on predetermined thresholds.

Another significant patent describes a computer system designed to discriminate between alert and fatigue states using EEG data. This system includes a receiver module for alert state segments and fatigue data segments. It employs an EEG classifier to train and identify maximum fatigue segments, ensuring accurate discrimination between alertness and fatigue in EEG data.

Career Highlights

Throughout his career, Zhang has worked with esteemed organizations such as the Agency for Science, Technology and Research and the National University of Singapore. His work in these institutions has contributed to advancements in EEG technology and its applications in various fields.

Collaborations

Zhang has collaborated with notable colleagues, including Cuntai Guan and Zhuo Zhang, further enhancing the impact of his research and innovations in the field.

Conclusion

Hai Hong Zhang's contributions to EEG technology through his innovative patents have significantly advanced the understanding of brain activity related to pain and fatigue. His work continues to influence research and applications in neuroscience and related fields.

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