Beijing, China

Xianqiang Ni

This inventor holds 1 USPTO granted patent. Top assignee: Boe Technology Group Co., Ltd.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xianqiang Ni. Retrieved from https://idiyas.com/inventor/xianqiang-ni

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 = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Xianqiang Ni: Innovator in Electrocardiogram Classification

Introduction

Xianqiang Ni is a prominent inventor based in Beijing, China. He has made significant contributions to the field of medical technology, particularly in the classification of electrocardiograms (ECGs). His innovative approach utilizes advanced techniques to enhance the accuracy of ECG analysis.

Latest Patents

Xianqiang Ni holds a patent for an "Attention mechanism-based 12-lead electrocardiogram classification method and apparatus." This method involves acquiring an original image of a 12-lead ECG and segmenting the waveform data recorded in the image. The process includes performing depth feature extraction on the segmented waveform data to obtain a first feature map for each lead. By applying an attention mechanism, the method transforms the first feature map to classify the depth features of each lead, ultimately improving the accuracy of image classification.

Career Highlights

Xianqiang Ni is associated with Boe Technology Group Co., Ltd., where he continues to develop innovative solutions in medical technology. His work focuses on enhancing the capabilities of ECG classification methods, which are crucial for accurate medical diagnoses.

Collaborations

Xianqiang Ni collaborates with talented individuals such as Xue Chen and Jinnv Liu. Their combined expertise contributes to the advancement of technologies in the medical field.

Conclusion

Xianqiang Ni's contributions to ECG classification through his patented methods demonstrate his commitment to innovation in medical technology. His work not only enhances diagnostic accuracy but also paves the way for future advancements 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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