مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

2,292
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

DIAGNOSIS OF AVIAN NEWCASTLE, BRONCHITIS AND INFLUENZA DISEASES EMPLOYING HEART SOUND SIGNAL AND ARTIFICIAL INTELLIGENCE METHODS

Pages

  587-601

Keywords

SUPPORT VECTOR MACHINE (SVM)Q1
DISCRETE WAVELET TRANSFORM (DWT)Q1

Abstract

 The present study presents an intelligent procedure for simultaneous diagnosis Avian Newcastle Disease Virus, Infection Bronchitis Virus as well as Influenza through heart sound signals. To follow the aim, the sample chickens were divided into four groups. The first group was taken as the control. The second, third and fourth groups were respectively infected with Newcastle Disease Virus, Infection Bronchitis as well as Avian Influenza. The time domain signals were transferred to the frequency and time-frequency domain using Fast Fourier and Discrete Wavelet Transforms. In data mining stage, 25 statistical features were extracted from three domains and the most appropriate features selected, using Improved Distance Evaluation (IDE) method. The heart sound signals were classified using multiclass support vector machine and Dempster- Shafer Evidence Theory. Total accuracy, Specificity, and Sensitivity of classifiers, fusion in diagnosis of AVIAN DISEASEs were obtained as 81.93, 93.29 and 82.28 percent respectively.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    SADEGHI, MOHAMMAD, BANAKAR, AHMAD, & SHOUSHTARI, ABDOLHAMID. (2017). DIAGNOSIS OF AVIAN NEWCASTLE, BRONCHITIS AND INFLUENZA DISEASES EMPLOYING HEART SOUND SIGNAL AND ARTIFICIAL INTELLIGENCE METHODS. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), 47(4), 587-601. SID. https://sid.ir/paper/144375/en

    Vancouver: Copy

    SADEGHI MOHAMMAD, BANAKAR AHMAD, SHOUSHTARI ABDOLHAMID. DIAGNOSIS OF AVIAN NEWCASTLE, BRONCHITIS AND INFLUENZA DISEASES EMPLOYING HEART SOUND SIGNAL AND ARTIFICIAL INTELLIGENCE METHODS. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES)[Internet]. 2017;47(4):587-601. Available from: https://sid.ir/paper/144375/en

    IEEE: Copy

    MOHAMMAD SADEGHI, AHMAD BANAKAR, and ABDOLHAMID SHOUSHTARI, “DIAGNOSIS OF AVIAN NEWCASTLE, BRONCHITIS AND INFLUENZA DISEASES EMPLOYING HEART SOUND SIGNAL AND ARTIFICIAL INTELLIGENCE METHODS,” IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), vol. 47, no. 4, pp. 587–601, 2017, [Online]. Available: https://sid.ir/paper/144375/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button