一种远程心电遥测方法、系统、终端及介质
By using remote electrocardiogram telemetry, and leveraging cloud and edge data processing technologies to generate context-enhanced electrocardiogram signal representations, combined with an online incremental learning model, the problem of existing electrocardiogram monitoring methods being unable to provide timely feedback on abnormalities is solved. This enables personalized risk warnings and assessments, improving the efficiency of early detection and treatment of cardiovascular diseases.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HANGZHOU PROTON TECH CO LTD
- Filing Date
- 2025-12-22
- Publication Date
- 2026-07-17
AI Technical Summary
Existing electrocardiogram (ECG) monitoring methods are insufficient to provide timely feedback on patients' ECG abnormalities. Routine ECG examinations provide limited information, and Holter monitoring cannot provide real-time feedback or timely risk warnings, which is detrimental to the early intervention and treatment of cardiovascular diseases.
Using remote electrocardiogram telemetry, a spatiotemporal context-aware atlas is constructed by combining multi-source data from the cloud and edge, generating context-enhanced electrocardiogram signal representations. These representations are then input into an online incremental learning comprehensive risk prediction model, dynamically updating the predicted risk values. Finally, personalized risk alerts and assessment reports are generated by combining these data with the patient's electronic medical record.
It enables timely feedback and accurate early warning of abnormal electrocardiogram conditions, improves the timeliness and accuracy of cardiovascular health monitoring, supports personalized medical intervention, and enhances medical efficiency and quality.
Smart Images
Figure CN121370183B_ABST