• DocumentCode
    1446545
  • Title

    Pressure-detection algorithms

  • Author

    Perfetto, J.C. ; Ruiz, A.G., Jr. ; Sirne, R.O. ; Attellis, C. E D

  • Author_Institution
    Inst. de Ing. Biomedica (IIBM), Univ. de Buenos Aires, Buenos Aires, Argentina
  • Volume
    28
  • Issue
    5
  • fYear
    2009
  • Firstpage
    35
  • Lastpage
    40
  • Abstract
    Our approach is based on identifying specific characteristics of the arterial blood pressure (ABP) signal. During the development of the algorithm, we examined the signals and tried to extract the features that signals always share with other signals of the same type. These features permit acceptance of a portion of the signal as being part of arterial pressure or reject it as being an artifact. The algorithm first detects the occurrence of the systolic point and, thereafter, the diastolic point. The method we present here is designed to be used in adaptation mechanisms of the cardiovascular system assessment.
  • Keywords
    blood pressure measurement; blood vessels; cardiovascular system; feature extraction; medical signal processing; adaptation mechanism; arterial blood pressure signal; cardiovascular system assessment; diastolic point; feature extraction; pressure-detection algorithm; systolic point; Cardiovascular system; Detection algorithms; Electrocardiography; Electroencephalography; Epilepsy; Multiresolution analysis; Pathology; Signal processing; Signal resolution; System testing; Adult; Age Factors; Aged; Algorithms; Blood Pressure; Blood Pressure Determination; Female; Humans; Male; Manometry; Middle Aged; Pulse; Signal Processing, Computer-Assisted; Tilt-Table Test;
  • fLanguage
    English
  • Journal_Title
    Engineering in Medicine and Biology Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0739-5175
  • Type

    jour

  • DOI
    10.1109/MEMB.2009.934246
  • Filename
    5254907