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University of Iowa Department of Communication Sciences

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Title: University of Iowa Department of Communication Sciences


1
University of Iowa Department of Communication
Sciences Disorders
  • Audiology

2
Human Electrophysiology Lab
  • Carolyn Brown, PhD
  • Professor

3
Human Electrophysiology Lab
  • Paul Abbas, PhD
  • Professor

4
Electrically evoked compound action potential
(ECAP)
  • A neural potential
  • Synchronous firing of a large number of auditory
    nerve fibers in response to an electrical
    stimulus.
  • Negative peak (N1) with a latency of 0.2 to 0.5
    ms
  • Positive peak or a plateau (P2) follows.
  • The spatial spread of neural excitation is
    assessed by measuring the amount of channel
    interaction using a forward masking paradigm.

5
Assessment of channel interaction using
Subtraction Method
base
apex
Response to MASKER and PROBE
Masker-probe Interval .5 ms
Response to PROBE
Subtraction Method Response
6
Assessment of channel interaction with
forward-masking
using subtraction recorded method implemented
with Nucleus NRT
apex
base
7
Binaural interaction EABR
  • The binaural interaction component (BIC) is the
    difference between the algebraic sum of the two
    monaural evoked potentials (L/R) and the evoked
    potential recorded in response to simultaneous
    binaural stimulation.
  • Neural generator Inhibitory-Excitatory units in
    the lateral superior olive complex (LSO).
  • The BIC of the EABR has been recorded from adult
    and pediatric bilateral users
  • (Pelizzone et al., 1990 Firszt et al., 2005
    Gordon et al., 2007)

8
Effect of electrode pairing on the BIC of the EABR
  • Subjects
  • 7 bilateral, adult Nucleus CI users
  • Electrode pairs
  • 11 total
  • Right ear fixed electrode 12
  • Left ear varied electrodes 6 to 18
  • Stimuli delivery
  • Nucleus Implant Communication (NIC) routines
  • Specially modified, Laura (L34) speech processors
  • Stimulus levels
  • Loudness balanced levels

9
BIC Right ear electrode 12
10
Electrically evoked cortical change complex (ECC)
  • N1-P2 complex evoked by changes in stimulus
    parameters.
  • May reflect more than detection (discrimination).
  • Can be recorded from adult as well as pediatric
    CI users.

11
Change Stimulating Electrode
  • Stimulus 1000 Hz biphasic pulse train (25
    us/phase)
  • 300-400 ms on one electrode
  • 300-400 ms on a second electrode
  • Recorded EEG using a contralateral electrode
    montage
  • Averaged 300 sweeps
  • Filtered out stimulus artifact (1-100 Hz).

12
Individual data 5 electrode separation
  • N 10 postlingually deafened adult CI users
  • 4-5 electrode change between first and second
    half of the recording interval
  • Both at stimulus bursts same current level and
    within a few CUs of C-level.

13
Change Stimulating Electrode
  • Electrically evoked change potentials
  • Stimulus artifact filters out.
  • Morphology and peak latencies similar to onset
    response.
  • Reflects sensitivity to change in place of
    stimulation within the cochlea.

14
Change Modulate pulse amplitude
  • 1000 ms stimulus burst.
  • Systematically vary the amplitude of pulses in a
    200 ms interval at the center of the burst.
  • Approximates amplitude modulation

15
Amplitude Growth with Increased Modulation Depth
16
Hearing Lab
  • Christopher Turner, Ph.D.
  • Professor

17
Short Electrode for severe high-frequency hearing
loss
18
Iowa/Nucleus HybridClinical Trial II
  • Inclusion Criteria
  • gt15 years old
  • Implant ear
  • 10-60 CNC
  • Ipsilateral ear
  • Up to 80 CNC

Trial II
Original Hybrid Trial
19
Speech recognition for10 mm electrode patient
20
Increase in perceptionof place feature
21
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22
Familiar Melody Recognition
Hybrid SE significantly more accurate than LE
or HiRes (plt.0004)
23
Auditory Research Lab
  • Shawn Goodman, PhD
  • Assistant Professor

24
Research involving Otoacoustic Emissions (OAEs)
  • Mechanisms of OAE production How do they change
    as a function of stimulus type and level?
  • OAE adaptation How are OAEs modified by
    efferent activation?

25
Research involving hearing aids
  • What signal processing paradigms can be used to
    quantify the electro-acoustic characteristics of
    modern hearing aids?
  • How can such paradigms be designed to have
    perceptual validity?

26
Facilities
  • Etymotic Research ER-10B and ER-10C for OAE
    measurement
  • Lynx L22 sound card, custom software for stimulus
    delivery recording
  • 9' X 8' double-walled sound booth.
  • KEMAR acoustics research mannequin

27
Publications
  • Measurement of Hearing Aid Internal Noise Using
    Synchronous Averaging
  • Poster Presentation at American Auditory Society
  • March 2008

http//www.uiowa.edu/comsci/research/arl/ARLhome.
html
28
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29
Hearing Aid LabBasic Applied Research
  • Ruth Bentler, PhD
  • Professor

30
Evaluating Technologies
  • Efficacy
  • Does the technology do what it is designed to do.
  • Effectiveness
  • Does the technology provide benefit to the user.

31
Evaluating Technologies
  • Directional Microphones
  • Why do results in the lab differ from results in
    the field?
  • Digital Noise Reduction
  • How does it work across manufacturers and does it
    improve speech perception in noise?

32
Listeners select Omnidirectional over Directional
when
  • The internal noise is audible (and it is)
  • Visual cues are available

NO audible mic noise
Audible mic Noise
33
DNR Speech
34
DNR Speech White Noise
35
DNR affects word recognition
  • Significantly better speech recognition
    performance at better SNRs
  • Speech recognition significantly better with
    DNR-on (!)
  • DNR-max significantly better that DNR-default
  • Unaltered (unprocessed) always best

36
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