AIMC Topic: Cochlear Implants

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From manual to artificial intelligence fitting: Two cochlear implant case studies.

Cochlear implants international Sep 17, 2019
To assess whether CI programming by means of a software application using artificial intelligence (AI), FOX®, may improve cochlear implant (CI) performance. Two adult CI recipients who had mixed auditory results with their manual fitting were selec...
Artificial Intelligence Software Female Aged Humans Auditory Threshold Correction of Hearing Impairment Prosthesis Fitting Male Deafness Cochlear Implants Speech Perception
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Metal artifact reduction for the segmentation of the intra cochlear anatomy in CT images of the ear with 3D-conditional GANs.

Medical image analysis Sep 4, 2019
Cochlear implants (CIs) are surgically implanted neural prosthetic devices that are used to treat severe-to-profound hearing loss. These devices are programmed post implantation and precise knowledge of the implant position with respect to the intra ...
Humans Imaging, Three-Dimensional Cochlea Neural Networks, Computer Artifacts Algorithms Cochlear Implants Tomography, X-Ray Computed Radiographic Image Enhancement Metals
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Simulating speech processing with cochlear implants: How does channel interaction affect learning in neural networks?

PloS one Feb 27, 2019
We introduce a novel machine learning approach for investigating speech processing with cochlear implants (CIs)-prostheses used to replace a damaged inner ear. Concretely, we use a simple perceptron and a deep convolutional network to classify speech...
Models, Theoretical Cochlear Implants Speech Perception Deep Learning
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The design and validation of a hybrid digital-signal-processing plug-in for traditional cochlear implant speech processors.

Computer methods and programs in biomedicine Mar 12, 2018
BACKGROUND AND OBJECTIVE: Cochlear implants (CIs) are electronic devices restoring partial hearing to deaf individuals with profound hearing loss. In this paper, a new plug-in for traditional IIR filter-banks (FBs) is presented for cochlear implants ...
Netherlands Signal-To-Noise Ratio Wavelet Analysis Cochlear Implantation Normal Distribution Cochlear Implants Hearing Loss Reproducibility of Results Speech Signal Processing, Computer-Assisted Internet Neural Networks, Computer Software Algorithms Databases, Factual Humans
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Speech enhancement based on neural networks improves speech intelligibility in noise for cochlear implant users.

Hearing research Nov 30, 2016
Speech understanding in noisy environments is still one of the major challenges for cochlear implant (CI) users in everyday life. We evaluated a speech enhancement algorithm based on neural networks (NNSE) for improving speech intelligibility in nois...
Electric Stimulation Speech Intelligibility Cochlear Implants Persons with Hearing Disabilities Speech Perception Audiometry, Speech Perceptual Masking Sound Spectrography Comprehension Acoustic Stimulation Aged, 80 and over Noise Humans Cochlear Implantation Young Adult Signal Processing, Computer-Assisted Neural Networks, Computer Adult Prosthesis Design Middle Aged Algorithms Acoustics Aged
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An integrated model of pitch perception incorporating place and temporal pitch codes with application to cochlear implant research.

Hearing research Nov 12, 2016
Although the neural mechanisms underlying pitch perception are not yet fully understood, there is general agreement that place and temporal representations of pitch are both used by the auditory system. This paper describes a neural network model of ...
Humans Auditory Pathways Acoustics Models, Psychological Sound Spectrography Cochlear Implants Periodicity Cues Persons with Hearing Disabilities Pitch Discrimination Neural Networks, Computer Acoustic Stimulation Pitch Perception Time Factors Neuronal Plasticity Prosthesis Design
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A neural-based vocoder implementation for evaluating cochlear implant coding strategies.

Hearing research Jan 14, 2016
Most simulations of cochlear implant (CI) coding strategies rely on standard vocoders that are based on purely signal processing techniques. However, these models neither account for various biophysical phenomena, such as neural stochasticity and ref...
Auditory Threshold Voice Quality Loudness Perception Psychoacoustics Cochlear Implants Persons with Hearing Disabilities Speech Perception Speech Acoustics Electroencephalography Adult Signal Processing, Computer-Assisted Auditory Pathways Male Humans Prosthesis Design Middle Aged Cochlear Implantation Neural Networks, Computer Acoustic Stimulation Time Factors Stochastic Processes Computer Simulation Electric Stimulation Female
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Towards Investigating Residual Hearing Loss: Quantification of Fibrosis in a Novel Cochlear OCT Dataset.

IEEE transactions on bio-medical engineering Jul 1, 2025
OBJECTIVE: Cochlear implants (CIs) are bionic prostheses that restores hearing via electrical stimulation of the auditory nerve. Hybrid CIs, which use electroacoustic stimulation (EAS), combine residual low-frequency acoustic hearing with CI electric...
Fibrosis Cochlear Implants Hearing Loss Cochlea Guinea Pigs Animals Tomography, Optical Coherence
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CNNs improve decoding of selective attention to speech in cochlear implant users.

Journal of neural engineering Jun 10, 2025
. Understanding speech in the presence of background noise such as other speech streams is a difficult problem for people with hearing impairment, and in particular for users of cochlear implants (CIs). To improve their listening experience, auditory...
Support Vector Machine Electroencephalography Attention Acoustic Stimulation Aged Adult Male Humans Middle Aged Neural Networks, Computer Cochlear Implants Female Speech Perception
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Leveraging Deep Learning to Enhance Optical Microphone System Performance with Unknown Speakers for Cochlear Implants.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Cochlear implants (CI) play a crucial role in restoring hearing for individuals with profound-to-severe hearing loss. However, challenges persist, particularly in low signal-to-noise ratios and distant talk scenarios. This study introduces an innovat...
Humans Deep Learning Signal-To-Noise Ratio Cochlear Implants
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