Cuntai Guan

Singapore, Singapore

Cuntai Guan

USPTO Granted Patents = 19 

 

 

Average Co-Inventor Count = 4.1

ph-index = 7

Forward Citations = 86(Granted Patents)


Company Filing History:


Years Active: 2002-2025

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19 patents (USPTO):Explore Patents

Title: Innovations by Cuntai Guan: Pioneering Brain-Computer Interfaces

Introduction: Cuntai Guan, based in Singapore, is a renowned inventor recognized for his significant contributions to the field of brain-machine interfaces and signal processing technologies. With a remarkable portfolio of 18 patents, Guan's work has the potential to revolutionize the way we understand and interact with the human brain.

Latest Patents: Among his latest patents is a "Signal Processing System for Brain Machine Interface and Method Performed by the System." This invention discloses a sophisticated approach for processing signals in brain-machine interfaces (BMIs). It includes receiving and filtering cortically derived signal samples, calculating a threshold for spike detection, identifying spikes in incoming samples, and outputting corresponding spike data.

Another notable patent is titled "Alert Versus Fatigue Discriminator." This computer system establishes an electroencephalogram (EEG) model to differentiate between alert and fatigue states. The system utilizes a receiver module to collect EEG data segments from subjects, selects a maximum fatigue segment, and trains an EEG classifier to identify the state of the subjects accurately. The innovation further enhances the capacity to determine consistency in fatigue identification and adjusts parameters to optimize the classifier's output.

Career Highlights: Cuntai Guan has made significant strides in his career, with impactful roles in leading research institutions. He has worked with the Agency for Science, Technology and Research and Kent Ridge Digital Labs, where he contributed to groundbreaking projects in signal processing and neural networks.

Collaborations: Throughout his career, Cuntai Guan has collaborated with notable professionals in the field, including Haihong Zhang and Kai Keng Ang. Their collective expertise has further propelled innovations in BMI technology and EEG applications, fostering advancements that benefit various sectors, including healthcare and neuroscience.

Conclusion: Cuntai Guan's innovative work and patent portfolio exemplify his commitment to advancing technology in brain-machine interfaces. His contributions not only enhance our understanding of the brain but also pave the way for future innovations that may lead to significant improvements in how we interpret and respond to neurological states. With a strong foundation built on collaboration and research excellence, Guan continues to influence the landscape of neurotechnology.

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