Spectral Analysis of the Heart Sounds for Medical Diagnosis

نویسندگان

  • I. IANCU
  • G. CANURECI
  • E. IANCU
  • M. VINATORU
چکیده

Cardiovasculary diseases are affecting a constantly growing number of people. Due to this reason we are continously looking for new ways of investigations. The processing of the heart’s audio signals also belong to this category. Heart sound is an acoustic wave generated by the mechanical movement of the heart and blood. The sounds can be divided into normal heart sounds and heart murmurs. Murmurs are abnormal signals that appear over wider ranges of frequency than normal heart sounds. The auscultation is a very effective method in detecting heart diseases. Along this paper the authors present the results of the combined time-frequency analysis for short-time periods applied to cardiac signals useful for diagnosis in medical practice. Key-Words: Heart sound, signal processing, Wigner-Ville distribution, spectral analyse, automated diagnosis.

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تاریخ انتشار 2008