Prescriptions Flashcards
Linear Prescriptions
Shapiro, Pogo, NAL, NAL-R, DSL, MSU, Burger, CID
List the Non-Liner Prescriptions
NAL-NL1, NAL-NL2, DSLm[i/o], DSL[i/o], CAMREST, CAM2, CAMEQ, FIG6, LGOB,IHAFF/contour, ScaleAdapt
Prescriptions based on Threshold
NAL, NAL-R, NAL-NL1, NAL-NL2, CAMREST, CAM2, CAMEQ, FIG 6, POGO, Burger
Prescription based on loundnes
IHaff/contour, ScaleAdapt, CID, Shapiro, LGOB, DSL[i/o]-curvilinear
Prescriptions based on both thresholds and Loundness
MSU, DSL[i/o], DSLm[i/o]
Prescription based on loudness normalizations (thresholds)
CAMREST, Fig6, DSLm[i/o], DSL[i/o]
Prescriptions based on loudness normalizations (scaling)
ScaleAdapt, IHaff, LGOB
Prescriptions based on loudness equalization
CAM2,CAMEQ
Prescriptions based on intelligibility maximization
NAL, NAL-R, NAL-NL1, NAL-NL2
POGO - Prescription of gain and output
A linear prescription based on thresholds using the half gain rule with an additional low-cut
LGOB - Loudness growth in half octave bands
A non-linear prescription, based on loudness normalization. It uses a 7 point scaling method.
IHAFF/Contour - Independent hearing aid fitting forum
A non-linear prescription based on loudness normalization using a scaling method
Fig6
A non-linear prescription that uses data across a large number of people with similar degrees of threshold (Loudness normalization -threshold)
CAMREST - Cambridge restoration of loudness
A non-linear prescription based on thresholds. It normalizes loudness - threshold. A more sophisticated version of NAL-NL1 and NAL-NL2
CAMEQ - Cambridge Loudness Equalization
A non-linear prescription based on thresholds. It uses a loudness equalization formula