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

Auditory Perception01:17

Auditory Perception

1.5K
The auditory system is essential for sound perception, utilizing various critical structures. When sound waves enter the outer ear, they travel through the ear canal and cause the eardrum to vibrate. These vibrations are then transmitted to the middle ear, where three tiny bones – the malleus, incus, and stapes – amplify the sound. This amplification is crucial, as it ensures that the sound vibrations are strong enough to be conveyed to the inner ear. These vibrations then reach the...
1.5K
Hearing01:31

Hearing

48.0K
When we hear a sound, our nervous system is detecting sound waves—pressure waves of mechanical energy traveling through a medium. The frequency of the wave is perceived as pitch, while the amplitude is perceived as loudness.
48.0K
Auditory Pathway01:15

Auditory Pathway

7.1K
Auditory pathways constitute the complex neural circuits responsible for transmitting and interpreting auditory information from the peripheral auditory system to the brain. Sound waves are initially captured by the outer ear, funneled through the ear canal, and reach the tympanic membrane (eardrum). These vibrations are transmitted via the middle ear's ossicles to the inner ear's cochlea.
When viewed cross-sectionally, the cochlea reveals the scala vestibuli and scala tympani flanking...
7.1K

You might also read

Related Articles

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

Sort by
Same author

Classifying Awareness with a Lightweight CNN in an Olfactory Oddball Passive BCI.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Improving the Classification of Olfactory Brain-Computer Interface Responses by Combining EEG and EBG Signals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Mild cognitive impairment prediction and cognitive score regression in the elderly using EEG topological data analysis and machine learning with awareness assessed in affective reminiscent paradigm.

Frontiers in aging neuroscience·2024
Same author

Mild Cognitive Impairment Detection with Machine Learning and Topological Data Analysis Applied to EEG Time-series in Facial Emotion Oddball Paradigm.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2023
Same author

Machine learning approach for early onset dementia neurobiomarker using EEG network topology features.

Frontiers in human neuroscience·2023
Same author

Dementia Digital Neuro-biomarker Study from Theta-band EEG Fluctuation Analysis in Facial and Emotional Identification Short-term Memory Oddball Paradigm.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2022

Related Experiment Video

Updated: Apr 30, 2026

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
06:11

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

1.9K

Tactile and bone-conduction auditory brain computer interface for vision and hearing impaired users.

Tomasz M Rutkowski1, Hiromu Mori2

  • 1Life Science Center of TARA, University of Tsukuba, Japan; RIKEN Brain Science Institute, Japan.

Journal of Neuroscience Methods
|April 29, 2014
PubMed
Summary

This study introduces a novel brain-computer interface (BCI) using vibrotactile head stimulation for individuals with sensory impairments. The tactile and bone-conduction auditory BCI (tbcaBCI) shows promise for robust BCI applications.

Keywords:
BCIData-driven filteringEEGP300Somatosensory evoked potential

More Related Videos

Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind
09:01

Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind

Published on: March 27, 2013

13.7K
A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

3.6K

Related Experiment Videos

Last Updated: Apr 30, 2026

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
06:11

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

1.9K
Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind
09:01

Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind

Published on: March 27, 2013

13.7K
A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

3.6K

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Human-Computer Interaction

Background:

  • Developing assistive technologies for individuals with sensory impairments, such as vision or hearing loss, is crucial.
  • Traditional brain-computer interfaces (BCIs) may not be suitable for all users, necessitating alternative approaches.

Purpose of the Study:

  • To investigate the efficacy of vibrotactile stimuli delivered to the head as a platform for a brain-computer interface (BCI).
  • To develop and validate a multimodal tactile and bone-conduction auditory BCI (tbcaBCI) for users with sensory impairments.

Main Methods:

  • Utilized novel head positions to evoke combined somatosensory and auditory P300 brain responses for the tbcaBCI.
  • Applied synchrosqueezing transform (SST) for EEG interference removal and P300 response classification, outperforming classical time-frequency analysis.
  • Implemented SST for online EEG preprocessing, enhancing BCI performance.

Main Results:

  • Experimental results with healthy users validated the online tbcaBCI paradigm.
  • Information transfer rate case studies demonstrated the feasibility of the proposed concept.
  • The SST-based preprocessing method combined with logistic regression (LR) classifier was compared to classical BCI techniques.

Conclusions:

  • The proposed tbcaBCI paradigm, coupled with data-driven preprocessing methods like SST, represents a significant advancement in robust BCI applications.
  • This approach offers a viable alternative for individuals with visual or auditory impairments, expanding BCI accessibility.