Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Determination and Ecological Risk Assessment of Organophosphate Esters in Drinking and Environmental Waters by Automated Liquid-Liquid Extraction Coupled with GC-MS/MS.

Molecules (Basel, Switzerland)·2026
Same author

Cordycepin alleviates aluminium chloride-induced neurodevelopmental toxicity in zebrafish embryos by modulating inflammation and Wnt signaling.

Neurochemistry international·2026
Same author

Microdroplets Co-catalyze Nitro Hydrogenation in Organic and Pharmaceutical Application.

Organic letters·2026
Same author

Developmental stage-specific disruption of iron allocation by a ZmYSL2 mutation in maize.

Planta·2026
Same author

Chemical Space Navigation of Nitidine Leads to the Discovery of a Novel PD-L1 Degradation Agent by Targeting CSN5 for Enhanced Antitumor Immunity.

Journal of medicinal chemistry·2026
Same author

Proanthocyanidins enhance antitumor immunity by promoting ubiquitin-proteasomal PD-L1 degradation via stabilization of LKB1 and SYVN1.

The Journal of clinical investigation·2026

Related Experiment Video

Updated: May 6, 2026

The Miniature Pig: A Large Animal Model for Cochlear Implant Research
06:16

The Miniature Pig: A Large Animal Model for Cochlear Implant Research

Published on: July 28, 2022

3.6K

Development of a real time sparse non-negative matrix factorization module for cochlear implants by using xPC target.

Hongmei Hu1, Agamemnon Krasoulis, Mark Lutman

  • 1Institute of Sound and Vibration Research, University of Southampton, Southampton SO17 1BJ, UK. huhongmei.hu@gmail.com.

Sensors (Basel, Switzerland)
|October 17, 2013
PubMed
Summary
This summary is machine-generated.

Adaptive real-time signal processing for cochlear implants (CIs) allows users to adjust settings for better hearing in noise. This study demonstrates the benefit of personalized, adaptive algorithms for improving CI performance and user experience.

More Related Videos

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion
03:58

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion

Published on: January 17, 2025

977
Robotic Cochlear Implantation for Direct Cochlear Access
08:06

Robotic Cochlear Implantation for Direct Cochlear Access

Published on: June 16, 2022

4.5K

Related Experiment Videos

Last Updated: May 6, 2026

The Miniature Pig: A Large Animal Model for Cochlear Implant Research
06:16

The Miniature Pig: A Large Animal Model for Cochlear Implant Research

Published on: July 28, 2022

3.6K
Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion
03:58

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion

Published on: January 17, 2025

977
Robotic Cochlear Implantation for Direct Cochlear Access
08:06

Robotic Cochlear Implantation for Direct Cochlear Access

Published on: June 16, 2022

4.5K

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Auditory Neuroscience

Background:

  • Cochlear implants (CIs) need efficient speech processing, particularly in noisy environments.
  • Previous work introduced sparsity-constrained non-negative matrix factorization (NMF) for CI processing.
  • Adaptive algorithms are crucial for adjusting to acoustic conditions and individual user needs.

Purpose of the Study:

  • To explore the benefits of a real-time, user-adjustable signal processing system for cochlear implants.
  • To investigate how individual listening preferences and hearing capabilities influence adaptive algorithm parameter selection.
  • To evaluate the utility of such systems for psychophysical experiments.

Main Methods:

  • Development of a real-time signal processing system using MATLAB®, SIMULINK®, and xPC Target™.
  • Integration of input/output boards for hardware-in-the-loop (HIL) simulation with the CI stimulation system.
  • Online subjective adaptation of the sparsity-constrained NMF parameter by normal-hearing subjects using noise-vocoded speech.

Main Results:

  • Subjects selected different parameter values based on their intelligibility preferences.
  • This indicates that adaptive real-time algorithms effectively cater to subjective preferences.
  • The system facilitated real-time control and adaptation without low-level programming.

Conclusions:

  • Adaptive real-time systems are beneficial for cochlear implant users, allowing personalization of signal processing.
  • These systems enhance experimental design for psychophysical studies.
  • High ecological validity is achieved in experiments using these adaptive systems.