• DocumentCode
    1743409
  • Title

    Using a parametric filter to average brainstem auditory evoked potentials

  • Author

    Kaszynski, R.

  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    571
  • Abstract
    We show a new method of BAEP (Brainstem Acoustic Evoked Potentials) signal processing, which can considerably accelerate medical examination. With the standard method, 500 to 2000 realizations of potentials evoked by rectangular acoustic impulse (100 μs width) applied with 30 Hz frequency are measured and then averaged to minimize noise and interference. Measurements are performed for different levels of the stimulation impulse, separately for right and left ear, and the whole procedure repeated. For 1000 realizations the full examination lasts 22 minutes. Such a long time of medical examination, especially in the case of children and babies, requires that the examination should be performed during physiological sleep or deep relax. This causes the medical examination to be onerous for a patient and for a doctor and also to be more costly. In our new method, the BAEP signal is averaged in time with an averaging parametric filter during a single response. Such a signal is repeated at most 30 times to average and reduce distortion
  • Keywords
    auditory evoked potentials; medical signal processing; time-varying filters; BAEP signal averaging; averaging parametric filter; brainstem auditory evoked potentials signal processing; deep relax; distortion reduction; left ear; medical examination; parametric filter; physiological sleep; rectangular acoustic impulse; right ear; stimulation impulse; Acceleration; Acoustic measurements; Acoustic noise; Acoustic signal processing; Biomedical acoustics; Filters; Frequency measurement; Measurement standards; Noise measurement; Pediatrics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits and Systems, 2000. ICECS 2000. The 7th IEEE International Conference on
  • Conference_Location
    Jounieh
  • Print_ISBN
    0-7803-6542-9
  • Type

    conf

  • DOI
    10.1109/ICECS.2000.911604
  • Filename
    911604