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의료기기 공용기술 활용 촉진을 위한 개방형 의료기기 플랫폼 개발 및 구현

Development and Implementation of an open Medical Device Platform

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The global market for medical devices is huge, and it will continue showing remarkable growth in the future. However, due to the entry barrier to develop medical devices, many domestic companies have technical problems in entering the medical device industry. In this paper, we introduce an open platform that can help with research and development for companies in the healthcare industry. This open platform consists of a hardware part and a software part. A hardware part is combined into CPU, base and other modules that are easy to replace and assemble. A software part is based on application software for development developed by Bionet. We test the performance of the open medical device platform using a biosignal processing algorithm.

Abstract

The global market for medical devices is huge, and it will continue showing remarkable growth in the future. However, due to the entry barrier to develop medical devices, many domestic companies have technical problems in entering the medical device industry. In this paper, we introduce an open platform that can help with research and development for companies in the healthcare industry. This open platform consists of a hardware part and a software part. A hardware part is combined into CPU, base and other modules that are easy to replace and assemble. A software part is based on application software for development developed by Bionet. We test the performance of the open medical device platform using a biosignal processing algorithm.

참고문헌 (11)

  1. 이문재, "Innovative Distribution Priorities for the Medical Devices Industry in the Fourth Industrial Revolution", International Neurourology Journal, 22, pp.83~90 (2018), 대한배뇨장애요실금학회
  2. S. Yuncheng, "Research on Modeling and Design of Real-Time Embedded Systems", 2014 7th International Conference on Intelligent Computation Technology and Automation, pp.547~550 (2014)
  3. X. Chen, "Teng"Research Directions for Embedded Operating Systems"", Lecture Notes in Computer Science, 3605 (2005)
  4. X. Wang, "Qt-Based Cross-platform Design of Management System for Distributed Real-time Simulation Platform", Proc. of the 2015 5th International Conference on Computer Sciences and Automation Engineering, pp.856~861 (2016)
  5. S. Raj, "Development of Robust, Fast and Efficient QRS Complex Detector : a Methodological Review", Ausralasi an Physical &Engineering Sciences in Medicine, 41(3), pp.581~600 (2018)
  6. Md Saifur Rahman, "A Simple and Robustness Algorithm for ECG R- peak Detection", Journal of Electrical Engineering & Technology, 13(5), pp.2080~2085 (2018), 대한전기학회

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