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A real-time data-logger system using an optical disk WORM for archiving continuous 12-lead ECG data during exercise

J N Froning¹, V F Froelicher, M D Olson

¹Long Beach VA Medical Center, CA 90822.

Journal of Electrocardiology

|January 1, 1988

Summary

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A new exercise electrocardiogram (ECG) analysis program utilizes Write-Once-Read-Many (WORM) optical disk storage for comprehensive, long-term data archiving. This system enhances exercise ECG analysis with detailed patient data integration and robust storage capabilities.

Area of Science:

Cardiology
Biomedical Engineering
Medical Informatics

Background:

Exercise electrocardiogram (ECG) analysis programs have evolved significantly over 15 years, transitioning from mainframes to microcomputer systems.
Previous systems faced limitations in data storage capacity and long-term archiving for comprehensive exercise tests.

Purpose of the Study:

To develop and implement an advanced exercise ECG analysis program with enhanced data acquisition, storage, and retrieval capabilities.
To create a robust, long-term digital archive of exercise ECG data for improved clinical analysis and research.

Main Methods:

The program was rehosted onto Motorola MC68000 and Intel 80286 microprocessor systems.
A Write-Once-Read-Many (WORM) optical disk data-logger system was integrated for simultaneous, continuous recording of all 12 ECG leads (12-bit A/D, 500 samples/sec) for up to 38 minutes.

Related Experiment Videos

ECG data and patient information are archived on optical disks for off-line analysis on PCs or real-time replay.

Patient medical histories and clinical information are stored in a separate applications database, linked with ECG measures and test results.

Main Results:

The system successfully archives all 12 leads of ECG data simultaneously and continuously during exercise tests.
Recorded ECG signals are at patient levels, allowing replay through standard commercial systems.
The optical disk database currently holds over 600 complete exercise tests, with a projected growth to nearly 3,000 within two years.

Conclusions:

The developed exercise ECG analysis program, utilizing WORM optical disk technology, provides a comprehensive solution for long-term data archiving and analysis.
This system facilitates both on-line processing and off-line development, improving the efficiency and depth of exercise ECG evaluations.
The integrated database enhances the ability to correlate clinical information with detailed ECG findings from a growing dataset.