• DocumentCode
    3417869
  • Title

    Pulse wave signal baseline wander elimination using morphology

  • Author

    Gu, Zheng-Gang ; Yun Gao ; Liu, Li-Yan ; Chen Chen

  • Author_Institution
    Dept. of Comput. Eng., Jiangsu Coll. of Inf. Technol., Wuxi, China
  • fYear
    2010
  • fDate
    24-28 Oct. 2010
  • Firstpage
    74
  • Lastpage
    77
  • Abstract
    Pulse wave signals contain a large number of physiological and pathological information of people. The analysis of them is an important method to diagnose the status of sub-health. When pulse wave signals are detected from body respiration, they may be frequently corrupted due to the baseline wander. It will lead to serious effect on the analysis and the processing of signals in further steps. In order to remove the baseline wander, this paper proposes a morphological Altering approach in mathematical morphology by combining open-closing and close-opening operations with different size structuring elements. The experimental results have shown that this approach can effectively and instantly eliminate baseline wander in pulse wave signals.
  • Keywords
    electrocardiography; mathematical morphology; medical signal detection; medical signal processing; body respiration; different size structuring elements; mathematical morphology; morphological altering approach; pathological information; physiological information; pulse wave signal baseline wander elimination; pulse wave signals; signal detection; signal processsing; Adaptive filters; Filtering algorithms; Morphology; Noise; Noise reduction; Shape; Signal processing algorithms; baseline wander; morphology; pulse wave signal; structuring element;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2010 IEEE 10th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5897-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2010.5656664
  • Filename
    5656664