Jinan, China

Kaiwei Li

This inventor holds 1 USPTO granted patent. Top assignees: Qilu University of Technology(shandong Academy of Sciences), Shandong Computer Science Center (National Supercomputing Center in Jinan). Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kaiwei Li. Retrieved from https://idiyas.com/inventor/kaiwei-li-6ljbv5zk

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 = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Kaiwei Li in Electrocardiogram Signal Detection

Introduction

Kaiwei Li is an accomplished inventor based in Jinan, China. He has made significant contributions to the field of medical technology, particularly in the area of electrocardiogram (ECG) signal detection. His innovative approach utilizes advanced machine learning techniques to enhance the accuracy and efficiency of ECG signal processing.

Latest Patents

Kaiwei Li holds a patent for an "Electrocardiogram (ECG) signal detection and positioning method based on weakly supervised learning." This method employs a deep learning model that includes a multi-scale feature extraction module, a self-attention encoding module, and a classification and positioning module. The process begins with denoising and segmenting the original ECG signal to obtain a fixed-length pure ECG signal segment. The convolutionally-connected multi-scale feature extraction module incorporates a channel local attention (CLA) layer and utilizes a PReLU activation function to enhance local information extraction. The self-attention encoding module establishes a relationship between local and global features, while the classification and positioning module outputs the general location of any abnormal signals. A fusion module allows the model to map local predicted values onto global predicted values, with model parameters trained on a weakly annotated dataset.

Career Highlights

Throughout his career, Kaiwei Li has worked with notable institutions such as Qilu University of Technology and the Shandong Computer Science Center, which is part of the National Supercomputing Center in Jinan. His work in these organizations has allowed him to develop and refine his innovative techniques in ECG signal detection.

Collaborations

Kaiwei Li has collaborated with several professionals in his field, including Minglei Shu and Pengyao Xu. These collaborations have contributed to the advancement of his research and the successful implementation of his patented technologies.

Conclusion

Kaiwei Li's contributions to the field of electrocardiogram signal detection through his innovative patent demonstrate his expertise and commitment to advancing medical technology. His work continues to influence the development of more effective diagnostic tools in healthcare.

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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