Automatic detection of auditory brainstem responses using feature vectors.

  title={Automatic detection of auditory brainstem responses using feature vectors.},
  author={Reynerio Sanchez and A Riquenes and Maria Cecilia Perez-Abalo},
  journal={International journal of bio-medical computing},
  volume={39 3},
The efficiency of several methods for the automatic detection of near threshold auditory brainstem responses (ABRs), based on feature vectors, was assessed on a sample of 374 recordings obtained from neonates. Features are quantitative descriptors of different aspects of the response commonly taken into consideration by expert ABR judges, such as: similarity with a template, reliability of the response, and intrinsic morphological characteristics. The classification methods used were… CONTINUE READING

From This Paper

Topics from this paper.


Publications citing this paper.
Showing 1-9 of 9 extracted citations

Similar Papers

Loading similar papers…