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

A Two-Stage Classification Method for Improved Fault Detection in Wind Turbines Based on SCADA Data.

Sensors (Basel, Switzerland)·2026
Same author

Obtaining Rotational Stiffness of Wind Turbine Foundation from Acceleration and Wind Speed SCADA Data.

Sensors (Basel, Switzerland)·2025
Same author

An Ensemble Network for High-Accuracy and Long-Term Forecasting of Icing on Wind Turbines.

Sensors (Basel, Switzerland)·2025
Same author

A Review of Machine Learning Approaches for the Personalization of Amplification in Hearing Aids.

Sensors (Basel, Switzerland)·2024
Same author

Improving Recognition of Defective Epoxy Images in Integrated Circuit Manufacturing by Data Augmentation.

Sensors (Basel, Switzerland)·2024
Same author

Generating Defective Epoxy Drop Images for Die Attachment in Integrated Circuit Manufacturing via Enhanced Loss Function CycleGAN.

Sensors (Basel, Switzerland)·2023

Related Experiment Video

Updated: May 14, 2026

Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages
06:04

Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages

Published on: March 24, 2023

Adding real-time noise suppression capability to the cochlear implant PDA research platform.

Taher Mirzahasanloo1, Vanishree Gopalakrishna, Nasser Kehtarnavaz

  • 1Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX 75080, USA.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|February 1, 2013
PubMed
Summary

This study introduces real-time, adaptive noise suppression for cochlear implant research using a PDA. The system identifies and adapts to background noise, improving speech clarity in complex auditory environments.

More Related Videos

Electrically Evoked Stapedius Reflex Measurements in Cochlear Implantation and Its Application in the Postoperative Fitting Process
07:00

Electrically Evoked Stapedius Reflex Measurements in Cochlear Implantation and Its Application in the Postoperative Fitting Process

Published on: June 21, 2024

Cochlear Implant Surgery and Electrically-evoked Auditory Brainstem Response Recordings in C57BL/6 Mice
09:06

Cochlear Implant Surgery and Electrically-evoked Auditory Brainstem Response Recordings in C57BL/6 Mice

Published on: January 9, 2019

Related Experiment Videos

Last Updated: May 14, 2026

Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages
06:04

Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages

Published on: March 24, 2023

Electrically Evoked Stapedius Reflex Measurements in Cochlear Implantation and Its Application in the Postoperative Fitting Process
07:00

Electrically Evoked Stapedius Reflex Measurements in Cochlear Implantation and Its Application in the Postoperative Fitting Process

Published on: June 21, 2024

Cochlear Implant Surgery and Electrically-evoked Auditory Brainstem Response Recordings in C57BL/6 Mice
09:06

Cochlear Implant Surgery and Electrically-evoked Auditory Brainstem Response Recordings in C57BL/6 Mice

Published on: January 9, 2019

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Auditory Neuroscience

Background:

  • Cochlear implants aim to restore hearing but are challenged by background noise.
  • Adaptive noise suppression is crucial for improving speech intelligibility in noisy environments.
  • Real-time processing on portable platforms is needed for practical cochlear implant applications.

Purpose of the Study:

  • To implement and evaluate a real-time environment-adaptive noise suppression algorithm.
  • To deploy the algorithm on an FDA-approved Personal Digital Assistant (PDA) for cochlear implant studies.
  • To optimize software for real-time performance on the PDA platform.

Main Methods:

  • Developed an algorithm to identify background noise environments in real-time.
  • Implemented a data-driven noise suppression approach that adapts dynamically to the identified noise.
  • Applied software optimization techniques to speech decomposition and adaptive noise suppression components.
  • Utilized an FDA-approved PDA for platform implementation and testing.

Main Results:

  • Achieved real-time throughput for both speech decomposition and adaptive noise suppression.
  • Demonstrated the algorithm's ability to adapt to different noise environments on-the-fly.
  • Presented quantitative measures of noise suppression effectiveness.
  • Provided real-time timing results validating the system's performance.

Conclusions:

  • The real-time implementation of an environment-adaptive noise suppression algorithm on a PDA is feasible.
  • This technology offers a promising approach for enhancing cochlear implant performance in real-world listening conditions.
  • Further development could lead to improved auditory rehabilitation for cochlear implant users.