Sennheiser E 945 - 03-06 User Manual Page 147

  • Download
  • Add to my manuals
  • Print
  • Page
    / 156
  • Table of contents
  • BOOKMARKS
  • Rated. / 5. Based on customer reviews
Page view 146
Deutsche Gesellschaft für auDioloGie e. V.292 293
AbstrActs
18. JAhrestAgung „MultidisziplinArität in der Audiologie“
Beitrag wird präsentiert am 07.03.2015 um 11.42 Uhr im Rahmen der FV15
Objective estimation of low frequency hearing thresholds with ASSR and SN10
M. Höfer, T. Lenarz, S. Haumann
HNO-Klinik, Medizinische Hochschule Hannover
The preservation of residual hearing is essential for cochlear implant (CI) recipients as it pro-
vides a better listening experience. Two possible methods to objectively quantify low frequen-
cy thresholds are SN10 and ASSR. Compared to the SN10 the ASSR has several advantages:
estimation of frequency specific thresholds from 0.5 to 4 kHz simultaneously and binaurally,
objective analysis. Until now ASSR-based thresholds have not been compared to SN10-based
thresholds. The goal of the study is the comparison of low frequency thresholds measured
with both methods in children.
For 19 children (1-9 years) the threshold at 500 Hz was measured using ASSR and SN10. Re-
gression coefficients and linear regression were calculated for ASSR and SN10 thresholds,
separately for the left (n=11) and right ear (n=12). In cases where no threshold was measureable
the patient was excluded from the analysis.
The mean thresholds for ASSR were 57.3±18.5 (L), 61.8±27.5 (R) and for SN10 61.7±24.4 (L),
57.5±24.2 dB (R). The linear regression was found to be significantly different from zero on
both sides (L: T=2.778, p<.05; R: T=3.909, p<.01). Further, the ASSR-based thresholds corre-
lated significantly with the SN10-based thresholds (L: r=.777, p<.01; R: r=.679, p<.05).
Given the good fit and significant correlation of the thresholds we can assume that ASSR is at
least as good as the SN10 to quantify low frequency thresholds. The opportunity to measure
several frequencies simultaneously and binaurally makes ASSR a good candidate as a regular
clinical application.
This work was supported by the cluster of excellence Hearing4all (EXC 1077).
Beitrag wird präsentiert am 07.03.2015 um 11.45 Uhr im Rahmen der FV15
Influence of attention on speech-rhythm evoked potentials: first steps towards an
auditory brain-computer-interface driven by speech.
C. da Silva Souto, H. Lüddemann, S. Lipski, M. Dietz, B. Kollmeier
Medizinische Physik and Cluster of Excellence „Hearing4all“ Universität Oldenburg, PhD
Program Signals and Cognition
A Brain-computer interface (BCI) uses neuronal responses to control external systems. The
majority of BCI systems are based on visual stimuli, only few apply auditory input. Because
auditory-based BCIs do not rely on visual skills or mobility of the body, they could be an alter-
native for visible or physical disabled people.
This study investigates the performance of an auditory paradigm using two competing streams
of repeatedly presented speech syllables. The streams had different repetition rates of 2.3 and
3.1 Hz. Our auditory BCI approach uses the auditory steady-state response (ASSR) to auto-
matically detect to which stream a listener selectively attends to.
In a single trial classification ten healthy volunteers achieved a significant above chance ac-
curacy of 60 % and an information transfer-rate (ITR) of 0.2 bit/min. Using the average over
six random trials improved the average classification accuracy to 80 % by keeping the ITR
comparable.
In conclusion it is possible to classify ASSR evoked from streams of spoken syllables. The per-
formance of this auditory BCI is not yet effective enough for a real life application, but is a step
towards the long term goal of using BCIs on natural speech features and eventually controlling
the processing of hearing devices.
Page view 146
1 2 ... 142 143 144 145 146 147 148 149 150 151 152 ... 155 156

Comments to this Manuals

No comments