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Methodology of the modular ECG analysis system MEANS.
J H van Bemmel1, J A Kors, G van Herpen
1Dept of Medical Informatics, Faculty of Medicine and Health Sciences, Erasmus University, Rotterdam, The Netherlands.
Methods of Information in Medicine
|September 1, 1990
Summary
The Modular ECG Analysis System (MEANS) uses a modular approach for signal analysis and diagnostic classification. This design facilitates easier maintenance and module optimization for decision-support systems.
Area of Science:
- Medical Informatics
- Cardiology
- Software Engineering
Background:
- The Modular ECG Analysis System (MEANS) has maintained a stable core structure for two decades.
- Continuous advancements in information technology and evolving medical insights have driven module updates within MEANS.
Purpose of the Study:
- To describe the methodology of the Modular ECG Analysis System (MEANS).
- To highlight the advantages of a modular design in decision-support systems.
- To present evaluation results of the MEANS system and its individual modules.
Main Methods:
- Description of the modular architecture of MEANS, encompassing signal analysis and diagnostic classification modules.
- Discussion of software maintenance, module optimization, and testing strategies.
- Presentation of evaluation findings from the CSE study.
Main Results:
- MEANS demonstrates the benefits of modularity, including enhanced software maintainability.
- Individual modules and the overall system performance were evaluated in the CSE study.
- The system's structure has proven robust over 20 years despite module evolution.
Conclusions:
- A modular approach offers significant advantages for decision-support systems like MEANS.
- The MEANS system's design facilitates adaptability and continuous improvement.
- Evaluation results support the efficacy of the modular ECG analysis system.