Evidence map›Paper›PMID 31763625›Full record

Article... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics2019

CCi-MOBILE: Design and Evaluation of a Cochlear Implant and Hearing Aid Research Platform for Speech Scientists and Engineers.

John H L Hansen, Hussnain Ali, Juliana N Saba, Charan M C Ram, Nursadul Mamun, Ria Ghosh, Avamarie Brueggeman, CRSS-CI Lab: Center for Robust Speech Systems – Cochlear Implant Processing Lab

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. The Temporal Limits Encoder as a Sound Coding Strategy for Bilateral Cochlear Implants.IEEE/ACM transactions on audio, speech, and language processing · 2021
    Article
  9. Portable Smart-Space Research Interface to Predetermine Environment Acoustics for Cochlear implant and Hearing aid users with CCi-MOBILE.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2020
    Article
  10. Article
  11. Article
  12. Review
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

8 authors.

John H L HansenDepartment of Electrical & Computer Engineering, The University of Texas at Dallas, Richardson, USA.
Hussnain AliDepartment of Electrical & Computer Engineering, The University of Texas at Dallas, Richardson, USA.
Juliana N SabaDepartment of Electrical & Computer Engineering, The University of Texas at Dallas, Richardson, USA.
Charan M C RamDepartment of Electrical & Computer Engineering, The University of Texas at Dallas, Richardson, USA.
Nursadul MamunDepartment of Electrical & Computer Engineering, The University of Texas at Dallas, Richardson, USA.
Ria GhoshDepartment of Electrical & Computer Engineering, The University of Texas at Dallas, Richardson, USA.
Avamarie BrueggemanDepartment of Electrical & Computer Engineering, The University of Texas at Dallas, Richardson, USA.
CRSS-CI Lab: Center for Robust Speech Systems – Cochlear Implant Processing Lab

Funding

CCI-Mobile: Signal Processing Advancements for Cochlear Implant Users in Naturalistic EnvironmentsR01DC016839 · NIDCD · UNIVERSITY OF TEXAS DALLAS · PI HANSEN, JOHN H.L., LITOVSKY, RUTH Y · 2018 to 2022
$3.6M
User customization and user optimization of cochlear implant devicesR01DC010494 · NIDCD · UNIVERSITY OF TEXAS DALLAS · PI HANSEN, JOHN H.L. · 2010 to 2015
$3.1M
NIDCD NIH HHS R01 DC010494NIDCD NIH HHS R01 DC016839
6 · The paper itself

Abstract

Hearing loss is an increasingly prevalent condition resulting from damage to the inner ear which causes a reduction in speech intelligibility. The societal need for assistive hearing devices has increased exponentially over the past two decades; however, actual human performance with such devices has only seen modest gains relative to advancements in digital signal processing (DSP) technology. A major challenge with clinical hearing technologies is the limited ability to run complex signal processing algorithms requiring high computation power. The CCi-MOBILE platform, developed at UT-Dallas, provides the research community with an open-source, flexible, easy-to-use, software-mediated, powerful computing research interface to conduct a wide variety of listening experiments. The platform supports cochlear implants (CIs) and hearing aids (HAs) independently, as well as bimodal hearing (i.e., a CI in one ear and HA in the contralateral ear). The platform is ideally suited to address hearing research for: both quiet and naturalistic noisy conditions, sound localization, and lateralization. The platform uses commercially available smartphone/tablet devices as portable sound processors and can provide bilateral electric and acoustic stimulation. The hardware components, firmware, and software suite are presented to demonstrate safety to the speech scientist and CI/HA user, highlight user-specificity, and outline various applications of the platform for research.

Indexed as

CCi-MOBILEcochlear implantsdigital signal processinghearing aidsresearch platformspeech science

Identifiers

PMID31763625
PMCPMC6874365

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.