Fmp and Residual Noise

What is Residual Noise?

Residual Noise is the averaged background noise. It is calculated online during the ABR recording by measuring the stability of the averaged waveform. The Residual Noise calculation used for Fmp is the same used for the calculation of Residual Noise - typically in a time window of 10 ms. The greater the stability, the less noise in the tracing. When the Residual Noise level reaches the set criteria, e.g. 40 nV for adults and 20 nV for children, the residual noise bar turns green with a checkmark.

Benefits of calculating Residual Noise

• Low residual noise levels mean there is less noise in the tracing.
• Less noise in the tracing improves confidence when eyeballing the presence or absence of a response.
• It is unlikely that continued averaging with noise levels below 40nV for adults and 20nV for children will result in a response becoming visible, so residual noise may be used as stop criteria in no-response situations.

What is Fmp?

Fmp is a statistical online analysis of the ABR recording from beginning to end. The Response Confidence is a statistical measure of a true response being present. It works on the principle of comparing response amplitude to residual noise to provide confidence level or detection rate. The underlying analysis considers the ABR recording typically in a time window of 10 ms.

The Fmp ratio between the response amplitude and the residual noise is calculated. In a response situation, lower noise or larger response amplitude will drive the Fmp up (indicated by the red line and bar). In a no-response situation, the response amplitude will not rise above the residual noise, thus the Fmp value and the Response Confidence will remain low.

Benefits of calculating Fmp

• The calculation provides statistical documentation and support of the findings.
• Acts as a Quality Meter for the waveform.

Clinical benefits

In summary, Residual Noise and Fmp:

• Improve confidence in the presence or absence of a response.
• Can reduce test times.
• Rely on statistical data.

References

Don, M. & Elberling, C. (1996). Use of quantitative measures of auditory brain-stem response peak amplitude and residual background noise in the decision to stop averaging. J. Acoust. Soc. Am., 99(1).

Elberling, C. & Don, M. (1984). Quality Estimation of averaged auditory brainstem responses. Scand Audiol., (13) 187-197

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