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Published on: April 9, 2014
Object-oriented integrated approach for the design of scalable ECG systems
Dusanka Boskovic1, Ingmar Besic, Zikrija Avdagic
1Department of Computing and Informatics, Faculty of Electrical Engineering, University of Sarajevo, Bosnia and Herzegovina. dboskovic@etf.unsa.ba
This study implements Object-Oriented (OO) and Real-Time (RT) methods for scalable Electro-Cardio-Graph (ECG) system design. The approach minimizes information loss in modeling by preserving real-world structures, enhancing system development.
Area of Science:
- Biomedical Engineering
- Software Engineering
- Computer Science
Background:
- Scalable Electro-Cardio-Graph (ECG) systems require robust design methodologies.
- Traditional modeling approaches can lead to information loss, particularly in Real-Time (RT) systems.
- Integrating Object-Oriented (OO) principles offers a way to manage complexity.
Purpose of the Study:
- To present the implementation of Object-Oriented (OO) integrated approaches for designing scalable Electro-Cardio-Graph (ECG) systems.
- To preserve real-world structure and relations during the modeling process, minimizing information loss.
- To specifically address challenges in Real-Time (RT) system modeling.
Main Methods:
- Utilized Object-Oriented (OO) methods to identify real-world objects as fundamental software building blocks.
- Integrated OO and Real-Time (RT) methodologies.
- Employed the Unified Modeling Language (UML) standard notation for system design.
Main Results:
- Successfully designed a scalable ECG system using integrated OO and RT approaches.
- Demonstrated the preservation of real-world structure and relations in the system model.
- Minimized information loss during the modeling process for the RT system.
Conclusions:
- The integration of OO and RT methods provides an effective approach for scalable ECG system design.
- The use of OO principles and UML enhances the fidelity of real-world modeling.
- Experience gained highlights the benefits of strongly defined object model semantics for analyzing related problems.
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