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Frequency lowering hearing aids:
Procedures for assessing candidacy
and fine tuning
Susan Scollie, Ph.D.
Associate Professor
Director, Child Amplification Laboratory
Danielle Glista, Ph.D.
Frances Richert, M.Cl.Sc.
Frequency Lowering
• SoundRecover is one
form (shown)
• First described in 2005:
▫ Simpson et al., 2005; 2006.
• Studies in kids: Bohnert et al
(2010); Glista et al. (2009;
2012a,b); Wolfe et al (2010; 2011);
Parsa et al (2013)
• AAA Guideline (2013):
Fit if needed, monitor
outcomes.
Glista, Scollie, Polonenko and Sulkers (2009),
Hearing Review
Verification & candidacy: overview
1) Start by optimizing the basic fitting. Measure & tune
aided speech & maximum output to target without
frequency lowering. Achieve the best possible fitting
first.
2) Candidacy perspective from AAA (2013):
“Frequency lowering should not be prescribed until
electroacoustic verification has revealed that high-frequency
speech audibility cannot be restored through conventional
means.” [Clinical Practice Guidelines: Pediatric Amplification]
3) Test audibility & location of high frequency speech
sounds. Several options exist:
▫ Filtered bands of speech
▫ Live or prerecorded phonemes such as “s” and “sh”
Specific steps: (these are in the handout)
1. Verify the shape and gain of the fitting without frequency lowering
 To ensure best audible bandwidth of speech from gain & WDRC alone
2. Verify the maximum power output (MPO):
 To ensure that high level sounds are limited appropriately
 MPO measurements are not valid above cutoff frequency
 Disable SoundRecover to measure MPO at all frequencies
3. Start with the default frequency lowering setting (Candidacy)
 Assess the need for frequency lowering by estimating high-frequency audibility
with and without frequency lowering active
4. Measures of frequency-specific speech bands or phonemes can help evaluate:
 The amount of lowering that has been applied to the signal
 The approximate sensation level of high-frequency speech sounds
 The potential for speech sound confusions
5. Perform a listening check:
 Consider sound quality judgments from the listener as well as the clinician
6. Repeat steps to fine tune as needed.
[adapted from Glista & Scollie (2009) AudiologyOnline]
Properties of SR fittings:
• Candidacy:
▫ The basic fitting has been done, but does not provide a
full bandwidth of audibility. How much is enough?
 Enough to provide access to female “s” and “sh”… this
requires audibility for inputs above 4000 Hz.
 Full audibility requires audibility up to and including 9000
Hz. Lowering these frequencies may be necessary.
• Once fitted and fine tuned for the individual:
▫ Provides access to female “s” and “sh”. The “s” and “sh”
sounds are not overlapping in frequency.
▫ We choose the weakest possible setting that provides
this outcome.
AAA 2013: “The impact of hearing aid signal processing and features
such as … frequency lowering on audibility should be verified… the
impact of these features on audibility of speech should be
evaluated.”
30
40
50
60
70
80
90
100
100 1000 10000
dBSPL
Frequency (Hz)
Unaided Speech
ISTS Peak
ISTS+LTASS
ISTS Valleys
30 dB
dynamic
range
from peak
to valley.
Long term average speech
spectrum (LTASS)
30
40
50
60
70
80
90
100
100 1000 10000
dBSPL
Frequency (Hz)
Unaided Speech: Importance & Cue
locations
ISTS Peak
ISTS+LTASS
ISTS Valleys
Audibility of this region is more
important than this one.
Studebaker & Sherbecoe (2002)
30
40
50
60
70
80
90
100
100 1000 10000
dBSPL
Frequency (Hz)
Phonemes /i/, /a/, /u/, /s/, /sh/
ISTS Peak
ISTS Valleys
/i/
/a/
/u/
30
40
50
60
70
80
90
100
100 1000 10000
dBSPL
Frequency (Hz)
Phonemes /i/, /a/, /u/, /s/, /sh/
ISTS Peak
ISTS Valleys
/s/
/sh/
Case 1: Tuning to improve benefit.
Case 2: Verification to determine candidacy.
Case 3: Asymmetric frequency compression?
Case 1: Age 7
• Asphyxia at birth, normal hearing in the low
frequencies, steeply sloping to profound at 2000 Hz.
• Likely dead regions in the cochlea above 2000 Hz.
▫ Definitive results not available, but some threshold shift
observed at maximum masking levels.
• Successful user of frequency compression signal
processing (SoundRecover). Fine tuning affects his
outcomes: at weaker settings, he loses the benefit.
Scollie, S. & Glista, D. (2011). Digital Signal Processing for Access to High
Frequency Sounds: implications for children who use hearing aids. ENT &
Audiology News, 20(5), 83-87.
Case 1: fitting, candidacy, tuning
Case 1: Outcomes
Consonants: 69% correct.
S-SH discrim: 65%
Preferred by child.
Consonants: 56% correct.
S-SH discrim: 37%
Not preferred by child.
Weaker setting Tuned setting
Case 1: Summary
• A clear candidate for this technology.
• Clear benefit, but not at every setting. Adjustments
were necessary.
• Verification of aided phonemes can illustrate
important changes.
Case 1: Tuning to improve benefit.
Case 2: Verification to determine candidacy.
Case 3: Asymmetric frequency compression?
Case 2: 10 year old boy
• History of frequency
compression use in his
hearing aids with good
benefit.
• Recent refitting (new aids).
• New hearing aids provide
more high frequency
audibility than was possible
with the old aids.
• Impact on SoundRecover
candidacy & tuning?
Case 2: New aid, right ear
“S” with SR off
“S” with SR on
Case 2: fitting & outcomes
• Tested detection with SR off and on:
▫ Aided Ling6(HL) thresholds:
No difference and good results (<30 dB HL) with both settings.
▫ UWO Plurals:
No difference and good results (83%) with both settings.
• Did a two-memory trial (on, off)
▫ No real world preference other than a note that school
bell was louder with SR on.
• Conclusions? Next steps? (there’s probably more than one way to go…)
▫ Enable? (no harm noted)
▫ Disable? (no harm noted)
▫ An in-between setting? (not trialed)
Case 2: Summary
• Technology changes have improved the bandwidth
available from hearing aids.
• In some cases, this adjusts candidacy for
SoundRecover in two ways:
▫ A weaker setting than previously used may be
appropriate.
▫ It may be appropriate to disable it for previous users.
• No systematic studies of this issue are available.
Case 1: Tuning to improve benefit.
Case 2: Verification to determine candidacy.
Case 3: Asymmetric frequency compression?
Case 3: Asymmetrical SR
• Evidence: John et al. ,(2013)
• Outcome: “remarked immediately on improved
audibility of sounds following today’s adjustments”
Vented, SR enabled
(newly added to the
fitting on this ear)
Open fit, SR off.
SSH
Case 3: Summary
• Default settings (and most research studies) use
better ear settings.
• Trials of asymmetrical settings (with monitoring) may
be warranted in some cases.
Specific steps: (here they are again)
1. Verify the shape and gain of the fitting without frequency lowering
 To ensure best audible bandwidth of speech from gain & WDRC alone
2. Verify the maximum power output (MPO):
 To ensure that high level sounds are limited appropriately
 MPO measurements are not valid above cutoff frequency
 Disable SoundRecover to measure MPO at all frequencies
3. Start with the default frequency lowering setting (Candidacy)
 Assess the need for frequency lowering by estimating high-frequency audibility
with and without frequency lowering active
4. Measures of frequency-specific speech bands or phonemes can help evaluate:
 The amount of lowering that has been applied to the signal
 The approximate sensation level of high-frequency speech sounds
 The potential for speech sound confusions
5. Perform a listening check:
 Consider sound quality judgments from the listener as well as the clinician
6. Repeat steps to fine tune as needed.
[adapted from Glista & Scollie (2009) AudiologyOnline]
Thanks!!
Thanks to Phonak for hosting the conference, inviting me
today, and for your ongoing support for this work.
Interested in trying phonemic
verification? Email:
hftb@nca.uwo.ca
(High frequency test battery at the National
Centre for Audiology, University of Western
Ontario, Canada)
Selected references:
Glista, D., & Scollie, S. (November, 2009). Modified Verification Approaches for Frequency Lowering Devices. Audiology
Online, 1-11. Retrieved from http://www.audiologyonline.com/articles/article_detail.asp?article_id=2301
Glista, D. and Scollie, S. (2012). Development and Evaluation of an English Language Measure of Detection of Word-Final
Plurality Markers: The University of Western Ontario Plurals Test. American Journal of Audiology, 21: 76-81.
Glista, D., Scollie, S., Bagatto, M., Seewald, R., Parsa, V., & Johnson, A. (2009). Evaluation of nonlinear frequency
compression: Clinical outcomes. International Journal of Audiology, 48(9), 632-644.
Glista, D., Scollie, S., Polonenko, M., & Sulkers, J. (2009). A comparison of performance in children with nonlinear
frequency compression systems. Hearing Review, 16, 20-24.
Glista, D., Scollie, S., & Sulkers, J. (2012). Perceptual acclimatization post nonlinear frequency compression hearing aid
fitting in older children. Journal of Speech, Language, and Hearing Research. Vol. 55,1-23 .
Glista, D., Easwar, V., Purcell, D., & Scollie, S. (2012). A pilot study on cortical auditory evoked potentials (CAEPs) in
children: aided CAEPs change with frequency compression hearing aid technology. International Journal of
Otolaryngology, Article ID 982894.
Parsa, V., Scollie, S., Glista, D., Seelisch, A. (2013). Nonlinear Frequency Compression: Effects on Sound Quality Ratings of
Speech and Music, Trends in Amplification, 17(1): 54-68.
Scollie, S., Glista, D., Tenhaaf Le Quelenec, J., Dunn, A., Malandrino, A., Keene, K., & Folkeard, P. (2012). Ling 6 stimuli
and normative data for detection of Ling-6 sounds in hearing level. American Journal of Audiology. 21(2), 232-241.
Scollie, S. (2013). The ins and outs of frequency lowering amplification. Audiology Online.
www.audiologyonline.com/articles/20q-ins-and-outs-frequency-11863
Wolfe, J., John, A., Schafer, E., Nyffeler, M., Boretzki, M., & Caraway, T. (2010). Evaluation of non-linear frequency
compression for school-age children with moderate to moderately severe hearing loss. Journal of the American
Academy of Audiology, 21(10), 618-628.
Wolfe, J., John, A., Schafer, E., Nyffeler, M., Boretzki, M., Caraway, T., & Hudson, M. (2011). Long-term effects of non-
linear frequency compression for children with moderate hearing loss. International Journal of Audiology, 50(6), 396-
404.
What does too much overlap look like?
SH
S
What about auditory deprivation?
How is this different than how we are
verifying now?
4000 Hz &
6000 Hz
speech
bands.
S and SH
frication
bands.
Real fricatives have a higher level &
broader bandwidth than 1/3 octave bands
of speech. They show more audibility.
More on this:
http://www.audiologyonline.com/articles/20q-ins-
and-outs-frequency-11863

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Frequency Lowering Hearing Aids: Procedures for Assessing Candidacy and Fine Tuning 

  • 1. Frequency lowering hearing aids: Procedures for assessing candidacy and fine tuning Susan Scollie, Ph.D. Associate Professor Director, Child Amplification Laboratory Danielle Glista, Ph.D. Frances Richert, M.Cl.Sc.
  • 2. Frequency Lowering • SoundRecover is one form (shown) • First described in 2005: ▫ Simpson et al., 2005; 2006. • Studies in kids: Bohnert et al (2010); Glista et al. (2009; 2012a,b); Wolfe et al (2010; 2011); Parsa et al (2013) • AAA Guideline (2013): Fit if needed, monitor outcomes. Glista, Scollie, Polonenko and Sulkers (2009), Hearing Review
  • 3. Verification & candidacy: overview 1) Start by optimizing the basic fitting. Measure & tune aided speech & maximum output to target without frequency lowering. Achieve the best possible fitting first. 2) Candidacy perspective from AAA (2013): “Frequency lowering should not be prescribed until electroacoustic verification has revealed that high-frequency speech audibility cannot be restored through conventional means.” [Clinical Practice Guidelines: Pediatric Amplification] 3) Test audibility & location of high frequency speech sounds. Several options exist: ▫ Filtered bands of speech ▫ Live or prerecorded phonemes such as “s” and “sh”
  • 4. Specific steps: (these are in the handout) 1. Verify the shape and gain of the fitting without frequency lowering  To ensure best audible bandwidth of speech from gain & WDRC alone 2. Verify the maximum power output (MPO):  To ensure that high level sounds are limited appropriately  MPO measurements are not valid above cutoff frequency  Disable SoundRecover to measure MPO at all frequencies 3. Start with the default frequency lowering setting (Candidacy)  Assess the need for frequency lowering by estimating high-frequency audibility with and without frequency lowering active 4. Measures of frequency-specific speech bands or phonemes can help evaluate:  The amount of lowering that has been applied to the signal  The approximate sensation level of high-frequency speech sounds  The potential for speech sound confusions 5. Perform a listening check:  Consider sound quality judgments from the listener as well as the clinician 6. Repeat steps to fine tune as needed. [adapted from Glista & Scollie (2009) AudiologyOnline]
  • 5. Properties of SR fittings: • Candidacy: ▫ The basic fitting has been done, but does not provide a full bandwidth of audibility. How much is enough?  Enough to provide access to female “s” and “sh”… this requires audibility for inputs above 4000 Hz.  Full audibility requires audibility up to and including 9000 Hz. Lowering these frequencies may be necessary. • Once fitted and fine tuned for the individual: ▫ Provides access to female “s” and “sh”. The “s” and “sh” sounds are not overlapping in frequency. ▫ We choose the weakest possible setting that provides this outcome.
  • 6. AAA 2013: “The impact of hearing aid signal processing and features such as … frequency lowering on audibility should be verified… the impact of these features on audibility of speech should be evaluated.”
  • 7. 30 40 50 60 70 80 90 100 100 1000 10000 dBSPL Frequency (Hz) Unaided Speech ISTS Peak ISTS+LTASS ISTS Valleys 30 dB dynamic range from peak to valley. Long term average speech spectrum (LTASS)
  • 8. 30 40 50 60 70 80 90 100 100 1000 10000 dBSPL Frequency (Hz) Unaided Speech: Importance & Cue locations ISTS Peak ISTS+LTASS ISTS Valleys Audibility of this region is more important than this one. Studebaker & Sherbecoe (2002)
  • 9. 30 40 50 60 70 80 90 100 100 1000 10000 dBSPL Frequency (Hz) Phonemes /i/, /a/, /u/, /s/, /sh/ ISTS Peak ISTS Valleys /i/ /a/ /u/
  • 10. 30 40 50 60 70 80 90 100 100 1000 10000 dBSPL Frequency (Hz) Phonemes /i/, /a/, /u/, /s/, /sh/ ISTS Peak ISTS Valleys /s/ /sh/
  • 11. Case 1: Tuning to improve benefit. Case 2: Verification to determine candidacy. Case 3: Asymmetric frequency compression?
  • 12. Case 1: Age 7 • Asphyxia at birth, normal hearing in the low frequencies, steeply sloping to profound at 2000 Hz. • Likely dead regions in the cochlea above 2000 Hz. ▫ Definitive results not available, but some threshold shift observed at maximum masking levels. • Successful user of frequency compression signal processing (SoundRecover). Fine tuning affects his outcomes: at weaker settings, he loses the benefit. Scollie, S. & Glista, D. (2011). Digital Signal Processing for Access to High Frequency Sounds: implications for children who use hearing aids. ENT & Audiology News, 20(5), 83-87.
  • 13. Case 1: fitting, candidacy, tuning
  • 14. Case 1: Outcomes Consonants: 69% correct. S-SH discrim: 65% Preferred by child. Consonants: 56% correct. S-SH discrim: 37% Not preferred by child. Weaker setting Tuned setting
  • 15. Case 1: Summary • A clear candidate for this technology. • Clear benefit, but not at every setting. Adjustments were necessary. • Verification of aided phonemes can illustrate important changes.
  • 16. Case 1: Tuning to improve benefit. Case 2: Verification to determine candidacy. Case 3: Asymmetric frequency compression?
  • 17. Case 2: 10 year old boy • History of frequency compression use in his hearing aids with good benefit. • Recent refitting (new aids). • New hearing aids provide more high frequency audibility than was possible with the old aids. • Impact on SoundRecover candidacy & tuning?
  • 18. Case 2: New aid, right ear “S” with SR off “S” with SR on
  • 19. Case 2: fitting & outcomes • Tested detection with SR off and on: ▫ Aided Ling6(HL) thresholds: No difference and good results (<30 dB HL) with both settings. ▫ UWO Plurals: No difference and good results (83%) with both settings. • Did a two-memory trial (on, off) ▫ No real world preference other than a note that school bell was louder with SR on. • Conclusions? Next steps? (there’s probably more than one way to go…) ▫ Enable? (no harm noted) ▫ Disable? (no harm noted) ▫ An in-between setting? (not trialed)
  • 20. Case 2: Summary • Technology changes have improved the bandwidth available from hearing aids. • In some cases, this adjusts candidacy for SoundRecover in two ways: ▫ A weaker setting than previously used may be appropriate. ▫ It may be appropriate to disable it for previous users. • No systematic studies of this issue are available.
  • 21. Case 1: Tuning to improve benefit. Case 2: Verification to determine candidacy. Case 3: Asymmetric frequency compression?
  • 22. Case 3: Asymmetrical SR • Evidence: John et al. ,(2013) • Outcome: “remarked immediately on improved audibility of sounds following today’s adjustments” Vented, SR enabled (newly added to the fitting on this ear) Open fit, SR off. SSH
  • 23. Case 3: Summary • Default settings (and most research studies) use better ear settings. • Trials of asymmetrical settings (with monitoring) may be warranted in some cases.
  • 24. Specific steps: (here they are again) 1. Verify the shape and gain of the fitting without frequency lowering  To ensure best audible bandwidth of speech from gain & WDRC alone 2. Verify the maximum power output (MPO):  To ensure that high level sounds are limited appropriately  MPO measurements are not valid above cutoff frequency  Disable SoundRecover to measure MPO at all frequencies 3. Start with the default frequency lowering setting (Candidacy)  Assess the need for frequency lowering by estimating high-frequency audibility with and without frequency lowering active 4. Measures of frequency-specific speech bands or phonemes can help evaluate:  The amount of lowering that has been applied to the signal  The approximate sensation level of high-frequency speech sounds  The potential for speech sound confusions 5. Perform a listening check:  Consider sound quality judgments from the listener as well as the clinician 6. Repeat steps to fine tune as needed. [adapted from Glista & Scollie (2009) AudiologyOnline]
  • 25. Thanks!! Thanks to Phonak for hosting the conference, inviting me today, and for your ongoing support for this work. Interested in trying phonemic verification? Email: hftb@nca.uwo.ca (High frequency test battery at the National Centre for Audiology, University of Western Ontario, Canada)
  • 26. Selected references: Glista, D., & Scollie, S. (November, 2009). Modified Verification Approaches for Frequency Lowering Devices. Audiology Online, 1-11. Retrieved from http://www.audiologyonline.com/articles/article_detail.asp?article_id=2301 Glista, D. and Scollie, S. (2012). Development and Evaluation of an English Language Measure of Detection of Word-Final Plurality Markers: The University of Western Ontario Plurals Test. American Journal of Audiology, 21: 76-81. Glista, D., Scollie, S., Bagatto, M., Seewald, R., Parsa, V., & Johnson, A. (2009). Evaluation of nonlinear frequency compression: Clinical outcomes. International Journal of Audiology, 48(9), 632-644. Glista, D., Scollie, S., Polonenko, M., & Sulkers, J. (2009). A comparison of performance in children with nonlinear frequency compression systems. Hearing Review, 16, 20-24. Glista, D., Scollie, S., & Sulkers, J. (2012). Perceptual acclimatization post nonlinear frequency compression hearing aid fitting in older children. Journal of Speech, Language, and Hearing Research. Vol. 55,1-23 . Glista, D., Easwar, V., Purcell, D., & Scollie, S. (2012). A pilot study on cortical auditory evoked potentials (CAEPs) in children: aided CAEPs change with frequency compression hearing aid technology. International Journal of Otolaryngology, Article ID 982894. Parsa, V., Scollie, S., Glista, D., Seelisch, A. (2013). Nonlinear Frequency Compression: Effects on Sound Quality Ratings of Speech and Music, Trends in Amplification, 17(1): 54-68. Scollie, S., Glista, D., Tenhaaf Le Quelenec, J., Dunn, A., Malandrino, A., Keene, K., & Folkeard, P. (2012). Ling 6 stimuli and normative data for detection of Ling-6 sounds in hearing level. American Journal of Audiology. 21(2), 232-241. Scollie, S. (2013). The ins and outs of frequency lowering amplification. Audiology Online. www.audiologyonline.com/articles/20q-ins-and-outs-frequency-11863 Wolfe, J., John, A., Schafer, E., Nyffeler, M., Boretzki, M., & Caraway, T. (2010). Evaluation of non-linear frequency compression for school-age children with moderate to moderately severe hearing loss. Journal of the American Academy of Audiology, 21(10), 618-628. Wolfe, J., John, A., Schafer, E., Nyffeler, M., Boretzki, M., Caraway, T., & Hudson, M. (2011). Long-term effects of non- linear frequency compression for children with moderate hearing loss. International Journal of Audiology, 50(6), 396- 404.
  • 27. What does too much overlap look like? SH S
  • 28. What about auditory deprivation?
  • 29. How is this different than how we are verifying now? 4000 Hz & 6000 Hz speech bands. S and SH frication bands. Real fricatives have a higher level & broader bandwidth than 1/3 octave bands of speech. They show more audibility. More on this: http://www.audiologyonline.com/articles/20q-ins- and-outs-frequency-11863