• DocumentCode
    3396238
  • Title

    Study of avian ascites syndrome using frequency analysis

  • Author

    Reddy, AnilKmar K. ; Lessard, Charles S. ; Martine, Louis A. ; Jeffrey, J.S. ; Odom, Ted W.

  • Author_Institution
    Texas A&M Univ., College Station, TX, USA
  • Volume
    2
  • fYear
    1995
  • fDate
    20-23 Sep 1995
  • Firstpage
    1025
  • Abstract
    The objective of this study is to demonstrate the use of a noninvasive technique to detect the ascites syndrome in chickens using phonocardiograph signals. Electrocardiogram (ECG) and heart valve sounds (HVS) were recorded simultaneously from fast growing (FG) chickens under control and hypobaric conditions. Data was collected each week over a 5-week period, starting with 2-week old chickens. The power spectrum of HVS was calculated and the parameters peak frequency (PF), mean peak frequency (MPF), and bandwidth (BW) were extracted. After 5 weeks the chickens were euthanized and scored for ascites lesions for comparison. Results showed that chickens with ascites of various levels (scores 1-4), had low PFs, MPFs, and BWs when compared to normal (control) group, and that PF of HVS1 can be used to predict the level of ascites syndrome
  • Keywords
    acoustic signal processing; bioacoustics; electrocardiography; frequency-domain analysis; spectral analysis; 0.038 y; 5 wk; EGG; avian ascites syndrome; bandwidth; broiler chickens; fast growing chickens; heart disease; heart valve sounds; noninvasive technique; peak frequency; phonocardiograph signals; power spectrum; right ventricle hypertrophy; Birds; Data analysis; Data mining; Electrocardiography; Fast Fourier transforms; Frequency; Heart valves; Performance evaluation; Signal analysis; Spectral analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    0-7803-2475-7
  • Type

    conf

  • DOI
    10.1109/IEMBS.1995.579447
  • Filename
    579447