[Development of Automatic Diagnosis and Evaluation System for ECG Recorder]

Area of Science:

• Biomedical Engineering
• Medical Informatics
• Cardiology

Background:

• The automatic diagnosis function of electrocardiogram (ECG) recorders exhibits variability, posing challenges for clinical practice.
• Inconsistent diagnostic accuracy complicates treatment decisions and workflow for healthcare professionals.

Purpose of the Study:

• To develop and implement an automatic diagnosis and evaluation system for ECG recorders.
• To assess the performance of the automatic diagnosis function of ECG recorders.
• To establish a standardized basis for evaluating ECG recorder automatic diagnosis.

Main Methods:

• Development of an automatic diagnosis and evaluation system for ECG recorders.
• Integration of the system with a data platform at the General Hospital of PLA.
• Evaluation of a large volume of data using the developed system.

Main Results:

• The developed system provides a method for evaluating the automatic diagnosis capabilities of ECG recorders.
• Data-driven evaluation results offer a basis for improving diagnostic accuracy.
• The system aims to enhance the overall reliability of automated ECG analysis.

Conclusions:

• The developed automatic diagnosis and evaluation system addresses the inconsistency in ECG recorder diagnostic functions.
• This system facilitates objective assessment and standardization of automated ECG diagnosis.
• It serves as a crucial tool for improving the clinical utility of ECG recorders.