• DocumentCode
    2966476
  • Title

    Early detection of essential hypertension by time-frequency analysis

  • Author

    Davrath, LR ; Goren, Y. ; Pinhas, I. ; David, D. ; Akselrod, S.

  • Author_Institution
    Tel Aviv Univ., Israel
  • fYear
    2002
  • fDate
    22-25 Sept. 2002
  • Firstpage
    445
  • Lastpage
    448
  • Abstract
    Hypertension affects approximately 25% of adults in industrialized countries and contributes significantly to morbidity and mortality from cardiovascular diseases. Young adult, normotensive offspring of one hypertensive parent (KHT, n = 12) and normotensive offspring of two normotensive parents (YN, n = 14) participated ECG, continuous blood pressure, and respiration were recorded Time-frequency decomposition of these signals was performed by a Continuous Wavelet Transform. During change in posture (CP), KHT demonstrated a significantly greater increase in the low frequency fluctuations in heart rate (HR) than YN, indicating enhanced sympathetic involvement in the HR response to CP. Upon recovery from Handgrip, vagal reactivation was more sluggish in KHT These results indicate possible malfunctions in both branches of autonomic control in individuals at increased risk of hypertension.
  • Keywords
    electrocardiography; haemodynamics; medical signal processing; time-frequency analysis; wavelet transforms; ECG; blood pressure; cardiovascular diseases; continuous wavelet transform; enhanced sympathetic involvement; handgrip; heart rate; hypertension; morbidity; mortality; normotensive offspring; posture; respiration; time-frequency decomposition; vagal reactivation; Blood pressure; Cardiovascular diseases; Continuous wavelet transforms; Electrocardiography; Fluctuations; Heart rate; Hypertension; Resonant frequency; Time frequency analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology, 2002
  • ISSN
    0276-6547
  • Print_ISBN
    0-7803-7735-4
  • Type

    conf

  • DOI
    10.1109/CIC.2002.1166805
  • Filename
    1166805