Evidence map›Paper›PMID 32967485›Full record

ArticleInternational journal of audiology2021

Combining current focusing and steering in a cochlear implant processing strategy.

Xin Luo, Ching-Chih Wu, Kathryn Pulling

Abstract read
In one paragraph

Article in International journal of audiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Tonotopic Selectivity in Cats and Humans: Electrophysiology and Psychophysics.Journal of the Association for Research in Otolaryngology : JARO · 2022
    Article
  3. Cochlear Implant Research and Development in the Twenty-first Century: A Critical Update.Journal of the Association for Research in Otolaryngology : JARO · 2021
    Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Xin LuoCollege of Health Solutions, Arizona State University, Tempe, AZ, USA.
Ching-Chih WuSchool of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA.
Kathryn PullingCollege of Health Solutions, Arizona State University, Tempe, AZ, USA.

Funding

Dynamic Pitch Perception with Cochlear ImplantsR21DC011844 · NIDCD · PURDUE UNIVERSITY · PI LUO, XIN · 2011 to 2012
$396k
NIDCD NIH HHS R21 DC011844
6 · The paper itself

Abstract

objectiveTo evaluate the benefit of combined current focusing and steering to speech recognition in noise with cochlear implants (CIs).

designCombined current focusing and steering was implemented using focused partial tripolar (pTP) mode with two current steering ranges. The two pTPsteering strategies were compared to a monopolar (MP) strategy without current focusing or steering and a pTP strategy with only current focusing using the Hearing in Noise Test. The strategies differed only in stimulation mode. STUDY SAMPLE: Ten post-lingually deafened adult CI users participated in this study.

resultsCompared to the MP strategy, both pTPsteering strategies produced significantly better speech reception thresholds, while the pTP strategy did not. Subjects with better baseline MP performance had less improvements with the pTPsteering strategies. All four strategies were experimental low-rate strategies and none of them outperformed subjects' clinical strategies.

conclusionsSpeech recognition in noise was better with the pTPsteering strategies than with the MP strategy, but the effect of pTP-mode current steering on spectral resolution is yet to be tested.

Indexed as

Cochlear ImplantationCochlear ImplantsSpeech PerceptionAdultHearingHumansNoiseCochlear implantcurrent focusingcurrent steeringspeech recognition

Identifiers

PMID32967485
PMCPMC7969432

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.