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Complex versus Standard Fittings: Part 2

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1.  Exception Discovery refers to: The process of finding retro-cochlear disorders The process of recognizing when standard fitting approaches may need to be modified The process of finding patients who simply are not candidates for amplification The process of finding when targets were not properly matched

2.  Conditions that would be consistent with Exception Discovery would be: Patients who are successful, long-time users of amplification Significant asymmetries in hearing Good aided speech understanding in quiet and noise Flat and gently sloping, mild and moderate symmetrical losses

3.  Patients with ski-slope loss: Never perform well in quiet May struggle with the sound quality of aggressively amplified high frequencies Cannot perform adequately without absolutely complete audibility Easily adapt to traditional target fitting

4.  Audibility for ski-slope losses should: Be focused in the extreme high frequencies where hearing is the worst Should be focused in the mid-to-high-frequency, transition region Provided uniformly across frequency Be insured through the use of a closed fitting

5.  The response for a ski-slope user should: Ensure good sound quality, since a traditional fitting can be easily rejected Be closed to maximize high frequency gain Require frequency lowering in all cases Avoid any gain in the low and mid frequencies

6.  Rising audiograms: Always represent conductive or mixed losses Are often genetically linked Are always accompanied by poor word recognition scores Require powerful, low-frequency emphasis hearing aids

7.  The suggested fitting approach for rising audiograms includes: Focusing on providing amplification from 1 to 4 kHz Always using a closed fitting Fitting only monaurally Reducing high frequency audibility

8.  The clinical data on rising audiograms shows: Benefits of aggressive gain in the higher frequencies Complete threshold compensation in the low frequencies is essential A region of normal hearing does not preclude some gain Target fittings must be followed precisely

9.  The MCL curve: Is a poor indicator of loudness perception May be flatter than the shape of the audiogram Is not measurable Will follow the threshold curve closely

10.  Fitting an irregular shaped audiogram: Should mirror the shaped of the threshold curve Should target the supra-threshold loudness pattern Should not be done with multi-channel, nonlinear processing Should always follow DSL i/o targets