This inventor holds 3 USPTO granted patents and 2 published patent applications. Top assignee: Neumarker, Inc. Active years: 2023-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023-2025
Title: Qiang Li: Innovator in Electroencephalography Systems
Introduction
Qiang Li is a prominent inventor based in Saratoga, CA (US). He has made significant contributions to the field of electroencephalography (EEG) systems, focusing on predicting patient responses to various interventions for central nervous system (CNS) diseases. With a total of 3 patents, his work is paving the way for advancements in treatment outcome predictions.
Latest Patents
One of Qiang Li's latest patents is titled "Predicting patient responses to multiple modalities of CNS disease interventions." This patent describes an EEG system that includes an EEG device, a display, processors, memory, and programs designed to analyze measurement data. The system extracts features from the data and utilizes machine-learning models to predict treatment responses for CNS diseases.
Another notable patent is the "Method and system for determining a treatment outcome prediction for a patient based on electroencephalograph." This invention involves analyzing mutual interaction characteristics of brain regions using scalp EEG data. It enhances features to extract significant mutual interaction features and applies a predictive model to forecast treatment outcomes for patients, including those with psychiatric disorders or COVID-19-related symptoms.
Career Highlights
Qiang Li is currently employed at Neumarker, Inc., where he continues to innovate in the field of EEG technology. His work is instrumental in developing systems that can improve patient care and treatment efficacy.
Collaborations
Qiang Li collaborates with fellow inventor Qing Wang, contributing to advancements in their shared field of research.
Conclusion
Qiang Li's innovative work in electroencephalography systems demonstrates his commitment to enhancing treatment outcomes for patients with CNS diseases. His patents reflect a deep understanding of the complexities of brain function and the potential of machine learning in medical applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile