[20 Years of Bilateral Cochlear Implantation - an Analysis of the Implanted Patients].

Laryngorhinootologie

Direktor Prof. Dr. med. Dr. h.c. R. Hagen, plastische und ästhetische Operationen, Klinik und Poliklinik für Hals-, Nasen- und Ohrenkrankheiten, Universitätsklinikum Würzburg, Würzburg.

Published: January 2017

Binaural hearing is essential for localization abilities and improves the speech perception in noise. Since 20 years, bilateral cochlear implantation is routinely performed to restore binaural hearing. In this cross-sectional study, we evaluated speech perception in quiet (Freiburger monosyllables, Hochmair-Schulz-Moser (HSM) sentence test, each at 70 dB) and in noise (HSM test, signal-to-noise ratio 10 dB) in 103 out of 165 adult patients who were bilaterally implanted in Würzburg between 1995 and June 2014. In almost half the patients, the second implanted side showed the better speech perception. Compared to the first implanted side, the average monosyllable scores with bilateral implants were improved from 54 to 63% and the HSM scores from 86 to 96%. In noise the speech perception improved from 47 to 65%. The speech perception of the second implanted side was independent of the time interval between the implantation of both sides in this cohort of postlingually deafened patients. This cross-sectional data underline the importance of bilateral cochlear implantation for speech understanding in quiet and even more in noise and thus, for the everyday life. For this, bilateral cochlear implantation should be the generally accepted standard in the treatment of deaf patients.

Download full-text PDF

Source
http://dx.doi.org/10.1055/s-0042-109615DOI Listing

Publication Analysis

Top Keywords

speech perception
20
bilateral cochlear
16
cochlear implantation
16
implanted side
12
years bilateral
8
binaural hearing
8
second implanted
8
speech
6
bilateral
5
implantation
5

Similar Publications

Listeners with hearing loss have trouble following a conversation in multitalker environments. While modern hearing aids can generally amplify speech, these devices are unable to tune into a target speaker without first knowing to which speaker a user aims to attend. Brain-controlled hearing aids have been proposed using auditory attention decoding (AAD) methods, but current methods use the same model to compare the speech stimulus and neural response, regardless of the dynamic overlap between talkers which is known to influence neural encoding.

View Article and Find Full Text PDF

Interventions That Failed: Factors Associated with the Continuation of Bullying After a Targeted Intervention.

Int J Bullying Prev

April 2023

INVEST Flagship Research Center/Department of Psychology and Speech-Language Pathology, University of Turku, 20014 Turku, Finland.

We examined how often teachers' targeted interventions fail in stopping bullying and to what extent this varies between schools vs. between students involved. In addition, we investigated which student-level factors were associated with intervention failure.

View Article and Find Full Text PDF

Wide dynamic range compression (WDRC) and noise reduction both play important roles in hearing aids. WDRC provides level-dependent amplification so that the level of sound produced by the hearing aid falls between the hearing threshold and the highest comfortable level of the listener, while noise reduction reduces ambient noise with the goal of improving intelligibility and listening comfort and reducing effort. In most current hearing aids, noise reduction and WDRC are implemented sequentially, but this may lead to distortion of the amplitude modulation patterns of both the speech and the noise.

View Article and Find Full Text PDF

Beyond Averaging: A Transformer Approach to Decoding Event Related Brain Potentials.

Neuroimage

January 2025

Department of Computer Science, University of Innsbruck, Technikerstrasse 21a, Innsbruck, 6020, Austria. Electronic address:

The objective of this study is to assess the potential of a transformer-based deep learning approach applied to event-related brain potentials (ERPs) derived from electroencephalographic (EEG) data. Traditional methods involve averaging the EEG signal of multiple trials to extract valuable neural signals from the high noise content of EEG data. However, this averaging technique may conceal relevant information.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!