[Design of Electrocardiogram Signal Generator Based on Typical Electrocardiogram Database]

Area of Science:

• Biomedical Engineering
• Medical Signal Processing

Background:

• Automated diagnosis of electrocardiogram (ECG) signals requires reliable signal generation for testing.
• Existing tools may lack comprehensive annotation capabilities for ECG data.

Purpose of the Study:

• To design and develop a novel ECG signal generator.
• To integrate real-time annotation of waveform data and diagnostic results.
• To create a valuable tool for the advancement of automated ECG diagnostic instruments.

Main Methods:

• Utilized LabVIEW programming for software development.
• Employed a high-speed multifunction data acquisition card (PCI-6251).
• Based the signal generation on a Chinese typical ECG database.

Main Results:

• Successfully designed and implemented an ECG signal generator.
• The generator outputs ECG signals with simultaneous display of waveform data and diagnostic annotations.
• Demonstrated the generator's capability to provide comprehensive ECG information.

Conclusions:

• The developed ECG signal generator serves as a useful assisting tool for automated ECG diagnosis.
• This tool can aid in the validation and improvement of ECG diagnostic algorithms.
• The integration of signal generation and annotation enhances its utility in research and clinical settings.