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Noise Removal Applied to a Temperature Signal from Body and Seat Contact Surface Based on the EMD Method

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJSIP) 바로가기
  • 간행물
    International Journal of Signal Processing, Image Processing and Pattern Recognition 바로가기
  • 통권
    Vol.6 No.4 (2013.08)바로가기
  • 페이지
    pp.431-440
  • 저자
    Zhuofu Liu, Zhongming Luo, Jiang Wei, Meimei Liu, Tianye Chen, Liang Chen, Andrew I Heusch, Vincenzo Cascioli, Peter W McCarthy
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A206577

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원문정보

초록

영어
People today spend longer seated resulting from changes in demand on the workforce. As a result there is a need for a greater understanding of factors affecting pressure sore formation and comfort in general. In order to monitor the body-cushion interface temperature, we have developed a portable five-channel temperature measuring system which can be powered by a laptop. An Empirical Mode Decomposition (EMD) was used to remove noise of thermal data between body and seat contact surface. The performance of this data driven filter was compared with three other filters (medium filter, adaptive filter and wavelet filter) with the help of the goodness of fitness statistics as judgment criteria. Results showed the EMD-based filter worked better than traditional de-noising algorithms with the lowest RMSE (root-mean-square-error) and the highest R2 values.

목차

Abstract
 1. Introduction
 2. System Description and Sensor Assessment
 3. Empirical Mode Decomposition and its Noise Suppression Application
 4. Filter Performance Comparison
 5. Conclusion
 Acknowledgements
 References

키워드

noise suppression temperature empirical mode decomposition cushion

저자

  • Zhuofu Liu [ The higher educational key laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science and Technology ]
  • Zhongming Luo [ The higher educational key laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science and Technology ]
  • Jiang Wei [ The higher educational key laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science and Technology ]
  • Meimei Liu [ The Second Affiliated Hospital of Harbin Medical University ]
  • Tianye Chen [ The Second Affiliated Hospital of Harbin Medical University ]
  • Liang Chen [ The Second Affiliated Hospital of Harbin Medical University ]
  • Andrew I Heusch [ Welsh Institute of Chiropractic, University of South Wales ]
  • Vincenzo Cascioli [ Murdoch University Chiropractic Clinic ]
  • Peter W McCarthy [ Welsh Institute of Chiropractic, University of South Wales ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 간기
    격월간
  • pISSN
    2005-4254
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.6 No.4

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