Electrocardiogram processing system for delineation and classification

The ECG processing system uses machine learning algorithms to enhance ECG analysis, addressing the limitations of current systems by providing accurate, efficient, and user-friendly visualization of cardiac signals and anomalies, reducing the need for specialized expertise.

JP2026062710APending Publication Date: 2026-04-10KONINKLIJKE PHILIPS NV
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Patent Information

Application Number
JP2025248134
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Priority Date
2019-02-04
Filing Date
2025-12-15
Publication Date
2026-04-10

AI Technical Summary

Technical Problem

Current ECG analysis systems require specialized expertise, are costly, and provide low-quality interpretations, often failing to accurately identify abnormalities due to reliance on handcrafted features and limited contextual processing of cardiac signals.

Method used

An ECG processing system utilizing machine learning algorithms, including neural networks, for accurate depiction and classification of cardiac signals, capable of identifying multiple pulses and anomalies without feature extraction, and enabling multi-label classification.

Benefits of technology

The system provides efficient and accurate analysis of ECG data, allowing for user-friendly visualization and reporting of cardiac anomalies, conditions, and descriptors, reducing the need for specialized expertise and improving diagnostic quality.

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Abstract

It is desirable to analyze ECG data using machine learning algorithms and medical grade artificial intelligence with improved accuracy and efficiency.SOLUTION: The system receives ECG data from a sensing device positioned on the patient, such as one or more ECG leads. The system includes an application that communicates with an ECG platform running on a server that processes and analyzes ECG data using a neural network for delineation of cardiac signals and classification of various abnormalities, conditions, and / or descriptors. The ECG platform further processes and analyzes the ECG data using a neural network and / or algorithm for embedding and grouping. The processed ECG data is used to generate a graphical user interface that is communicated from the server to the computer for display in a user-friendly interactive manner with improved accuracy.SELECTED DRAWING: Figure 4
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