ArticleThe Journal of the Acoustical Society of America2025
Capabilities of the CCi-MOBILE cochlear implant research platform for real-time sound coding.
Article in The Journal of the Acoustical Society of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Within-electrode temporal envelope processing predicts multi-channel speech outcomes across cochlear implant pulse rates.bioRxiv : the preprint server for biology · 2026Article
- Review
- Localization performance of cochlear implant users with a real-time bilaterally-synchronized sound coding strategy that provides explicit interaural timing cues with mixed rates of stimulation.Frontiers in neuroscience · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Developed by the Center for Robust Speech Systems at the University of Texas at Dallas, in collaboration with New York University and the University of Wisconsin-Madison, CCi-MOBILE addresses a critical challenge in optimizing cochlear implant (CI) fitting and enhancing sound coding strategies. Existing clinical CI processors and research tools often lack either the necessary computational power and flexibility or the portability required for real-world testing. CCi-MOBILE bridges this gap by enabling the implementation and evaluation of diverse real-time sound coding algorithms in both laboratory and real-world settings, including those requiring synchronized bilateral stimulation. Building upon previous publications, this paper provides new detailed discussion on parameter setting for stimulus generation with CCi-MOBILE and serves as a comprehensive resource for scientists and engineers developing novel real-time sound coding and signal processing strategies with this platform. As part of an ongoing development effort, future generations of CCi-MOBILE may offer additional functionalities beyond those described here.
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Identifiers
What OpenQuestion holds
Registered trials
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.