Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Design of Motion Artifacts Filter of PPG Signal based on Kalman filter and Adaptive filter

칼만필터와 적응필터를 기반한 PPG 동잡음 제거 필터 설계

  • Lee, Byeong-Ro (Department of Electronics Engineering, Gyeongnam Jinju National University of Science and Technology) ;
  • Lee, Ju-Won (Departtment of Medical Engineering, Andong Science College)
  • Received : 2014.02.14
  • Accepted : 2014.03.11
  • Published : 2014.04.30
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Abstract

The PPG signal used in mobile-healthcare and telemedicine system is including the various motion artifact that is signal generated from patient's movements. Recently, although the various methods to remove motion artifacts have been suggested, the performances of these methods are still not satisfactory. Therefore, this s study suggested the novel method based on the Kalman filter and adaptive filter to remove motion artifacts, and we used various motion artifacts to analyze the performance of the proposed method. In the results of experiments, the signal-to-noise ratio of proposed method showed good performace that was 4.8 times of moving average filter.

모바일 헬스케어와 원격진료에서 사용되는 광용적 맥파(PPG) 신호는 환자로부터 발생되는 여러 가지의 동잡음을 포함하고 있다. 이러한 동잡음을 제거하기위해 이동평균필터, 적응필터, 가속도 센서 등을 이용한 기법이 제시되었으나, 아직까지도 그 성능이 만족 스럽지 못하다. 따라서 본 연구에서는 이러한 동잡음 문제를 해결하기 위해 칼만필터와 적응필터를 이용한 새로운 동잡음 제거 기법을 제안하고 그 성능을 평가하기위해 다양한 동잡음을 사용하였다. 이 실험의 결과에서 제안된 방법의 신호대 잡음비는 이동 평균 필터 보다 4.8배인 우수한 성능을 보였다.

Keywords

References

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