This inventor holds 1 USPTO granted patent. Top assignee: Lepu Medical Technology (Beijing) Co., Ltd.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Xiaole Zhao and Video-Based Blood Pressure Prediction
Introduction
Xiaole Zhao is an inventor based in Beijing, China. Her patent work includes a system designed to predict blood pressure from video data, an approach intended to support real-time monitoring without requiring a person to wear a dedicated measurement device.
Latest Patents
Zhao is associated with 1 patent: “Video Data-Based System for Blood Pressure Prediction.” The invention describes a first device equipped with a camera, lighting module, display screen, and control and communication components, alongside a cloud server. The server includes modules for validating data and parameters, preprocessing data, and using artificial intelligence to predict blood pressure.
The system is designed to enable real-time detection and continuous monitoring without a specific wearable collection device. Its approach may make monitoring easier to implement and broaden the use of photoplethysmography in care settings.
Career Highlights
Zhao is associated with Lepu Medical Technology (Beijing) Co., Ltd., a medical technology company. Her patent reflects work at the intersection of video data, artificial intelligence, and health monitoring.
Collaborations
Zhao’s listed coworkers include Jun Cao and Zejian Wu. Their names indicate professional connections associated with her work, though the available information does not specify their roles in the patent.
Conclusion
Xiaole Zhao’s patent presents a video-based approach to blood pressure prediction that aims to simplify continuous monitoring and expand the potential applications of photoplethysmography.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile