ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2020
Portable Smart-Space Research Interface to Predetermine Environment Acoustics for Cochlear implant and Hearing aid users with CCi-MOBILE.
Article in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
2 citing papers in PubMed, 2 citations in OpenAlex.
- Automatic User Preferences Selection of Smart Hearing Aid Using BioAid.Sensors (Basel, Switzerland) · 2022Article
- CCi-MOBILE: A Portable Real Time Speech Processing Platform for Cochlear Implant and Hearing Research.IEEE transactions on bio-medical engineering · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Internet of things (IoT) in healthcare, has effi-ciently accelerated medical monitoring and assessment through the real-time analysis of collected data. Hence, to support the hearing-impaired community with better calibrations to their clinical processors and hearing aids, a portable smart space interface - AURIS has been developed by the Cochlear Implant Processing Lab (CILab) at UT-Dallas. The proposed Auris interface periodically samples the acoustic space, and through a learn vs test phase, builds a Gaussian mixture model for each specific environmental locations. An effective connection is established by the Auris interface with the CRSS CCi-Mobile research platform through an android app to fine tune the con-figuration settings for cochlear implant (CI) or hearing aid (HA) users entering the room/location. Baseline objective evaluations have been performed in diverse naturalistic locations using 12 hours of audio data. The performance metrics is determined by a verified wireless communication, along with estimated acoustic environment knowledge and room classification at greater than 90% accuracy.
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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.