Journal of Digital Contents Society (디지털콘텐츠학회 논문지)

Digital Contents Society (한국디지털콘텐츠학회)
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Technique for the ECG Bio-sounds Visualization Analysis Based on the MIT-BIH Database

MIT-BIH 데이터베이스 기반 ECG 생체신호 시각화 분석을 위한 기술

  • Kim, Jong-Wook (Jeonbuk National University Division of Convergence Technology Engineering) ;
  • Lee, Myoung-Jin (Sangji University School of Computer and Information Engineering) ;
  • Ko, Kwang-Man (Sangji University School of Computer and Information Engineering) ;
  • So, Kyoung-Young (Jeonbuk National University Division of Convergence Technology Engineering)
  • Received : 2016.02.29
  • Accepted : 2016.04.28
  • Published : 2016.04.30
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Abstract

This work introduces techniques experienced for the electrocardiogram(ECG) visual analysis, able to characterize the major parameters and events with clinical relevance for heart failure management and cardiovascular risk assessment. In particular, it includes approaches for ECG data visual processing such as the variable charts, graphs base on the complex MIT-BIH ECG database. Through the experienced this works of ECG database visualization, so many researcher more easily access the complex ECG database and can intuitionally understand the meanings via a variable ECG visualized data.

이 논문에서는 심장이상 관리와 심혈관 위험 평가를 위해 임상 관련성과 연관지어 주요한 요소와 원인을 파악하는데 필요한 심전도(ECG) 데이터의 시각화 분석을 위해 경험한 기술을 소개한다. 특히, MIT-BIH ECG 데이터베이스를 기반으로 복잡한 ECG 데이터를 시각화하여 다양한 차트, 그래프로 표현할 수 있는 접근방법을 소개한다. 이러한 경험 기술 소개를 통해 많은 연구자들은 ECG 데이터베이스를 보다 쉽게 접근할 수 있고 다양한 형태로 시각화된 ECG 데이터의 의미를 직관적으로 이해할 수 있다.

Keywords

References

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