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On digital filtering of auditory brainstem responses

T K Grönfors¹, M Juhola

¹Department of Computer Science and Applied Mathematics, University of Kuopio, Finland.

Medical Progress Through Technology

|January 1, 1993

Summary

Signal processing of Auditory Brainstem Responses (ABRs) requires careful digital filtering. This study found that both nonrecursive and recursive filters similarly affect ABR latency and amplitude parameters used for diagnosing pathological changes.

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Area of Science:

Neuroscience
Signal Processing
Audiology

Background:

Auditory Brainstem Responses (ABRs) are brief electrophysiological signals.
Accurate signal processing is crucial for ABR analysis.
ABR parameters like latency and amplitude are sensitive to digital filtering, impacting pathological change detection.

Purpose of the Study:

To investigate the effects of digital filtering on ABR parameters.
To compare the suitability of nonrecursive and recursive filters for ABR signal processing.

Main Methods:

Analysis of Auditory Brainstem Response signals.
Application and evaluation of nonrecursive digital filters.
Application and evaluation of recursive digital filters.

Main Results:

Both nonrecursive and recursive filters demonstrated comparable effects on ABR parameters.
The chosen filtering methods did not introduce significant differential impacts on latency and amplitude.

Conclusions:

Nonrecursive and recursive filters appear to have similar influences on key ABR parameters.
Careful selection and application of digital filters are essential for reliable ABR interpretation.

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