Optimized Recording - Interacoustics Eclipse Additional Information

Eclipse Additional Information Page 48
Fine tuning the rejection level
Simply grab one of the horizontal lines with the mouse and move the rejection level to match an exact value.
The current rejection level is shown to the left on the curve and updated while moving the horizontal lines.
Use the Input Level Display buttons to zoom into the rejection level for more precise rejection level place-
ment. Once done, click OK to save rejection level to the current test protocol.

3.7.1.10 Optimized recording

Bayesian Weighting
Bayesian weighted averaging can optionally be chosen as a method to improve the recording conditions
when the EEG-noise, which depends on the state of arousal or relaxation of the patient, is changing during
the recording of the ABR, and is useful tool to assist the clinician when testing in less than optimal condi-
tions. While giving sweeps with less noise a higher "score", sweeps with more noise are not given the same
level of importance in the overall recording. Each sweep is analysed and not simply "accepted or unac-
cepted" (traditional averaging) but given a unique significance based on its level of noise. Bayesian
Weighting can be used in all typical ABR testing situations and will be effective when EEG levels vary during
recording.