ECG Workstation AI Interference Removal and Flexible Report Output
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing electrocardiogram workstations face challenges in accurately analyzing electrocardiogram signals due to interference from non-cardiogenic electrical signals, leading to incorrect heart beat signal detection and a lack of flexibility in outputting reports to meet different user requirements.
Innovation Solution
An electrocardiogram information processing method that employs artificial intelligence-based analysis using Convolutional Neural Networks for interference identification, heart beat classification, and feature extraction, allowing for automatic generation of report data that can be queried, output in various modes and formats, and modified as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic analysis of electrocardiogram data is performed, then analysis speed and efficiency are improved, but measurement precision deteriorates due to interference from non-cardiogenic electrical signals
Solution Approach 1:
The patent segments the electrocardiogram signal analysis into multiple processing stages: raw signal acquisition, interference signal identification and removal, feature extraction, and automatic analysis. By dividing the analysis process into distinct segments with specialized processing for each, the system maintains high productivity while improving measurement precision through targeted interference removal at the signal processing stage.
Solution Approach 2:
The patent introduces an intermediary signal processing layer between signal acquisition and automatic analysis. This intermediary layer includes interference signal identification and removal modules that act as mediators to clean the raw electrocardiogram signals before they enter the automatic analysis system, thereby preserving both speed and accuracy.
2Adaptability or versatility
If single mode report output is used, then device complexity is reduced, but adaptability deteriorates as it cannot meet different user requirements
Solution Approach 1:
The patent implements a universal report output system that can generate multiple types of reports (text reports, graphical reports, combined reports) and support various output formats (screen display, printing, electronic transmission). This multi-functional design allows a single system to meet diverse user requirements without requiring separate specialized systems for each report type.
Solution Approach 2:
The patent introduces dynamic configuration capabilities that allow users to customize report content, format, and delivery method based on specific needs. The system can dynamically adjust report generation parameters, selected leads, time ranges, and output destinations, providing adaptability while maintaining a unified system architecture.
Data Source
AI summary
An ECG information processing method and ECG workstation, wherein the method comprises: the ECG workstation receives the ECG data output by an ECG device, the ECG data includes ID of the measured object and the detection time information; perform ECG data analysis on the ECG data to generate report data; receive a report data query input by the user, query corresponding report data according to the user ID of the user, and generate report data query result list data; acquire the selected report data according to the selection instruction, determine output mode information and output format information according to the report output, and, selectively output report conclusion data, report entry data, and/or the partial data or all the data in the report graphic data, and convert the partial data or all the data in data format according to the output format information, to generate report output data.