Journal of Korean Institute of Industrial Engineers (대한산업공학회지)

Korean Institute of Industrial Engineers (대한산업공학회)
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Detection of Atrial Fibrillation Using Markov Regime Switching Models of Heart Rate Intervals

심박간격의 마코프 국면전환 모형화를 통한 심방세동 탐지

  • Jung, Yonghan (Department of Industrial and Systems Engineering, KAIST) ;
  • Kim, Heeyoung (Department of Industrial and Systems Engineering, KAIST)
  • 정용한 (KAIST 산업 및 시스템 공학과) ;
  • 김희영 (KAIST 산업 및 시스템 공학과)
  • Received : 2016.01.15
  • Accepted : 2016.05.25
  • Published : 2016.08.15
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Abstract

This paper proposes a new method for the automatic detection of atrial fibrillation (AF), using Markov regime switching GARCH (1, 1) model. The proposed method is based on the observation that variability patterns of heart rate intervals during AF significantly differ from regular patterns. The proposed method captures the different patterns of heart rate intervals between two regimes : normal and AF states. We test the proposed method using Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH) atrial fibrillation database, and demonstrate the effectiveness of the proposed method.

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References

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