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

Olfaction01:25

Olfaction

44.1K
The sense of smell is achieved through the activities of the olfactory system. It starts when an airborne odorant enters the nasal cavity and reaches olfactory epithelium (OE). The OE is protected by a thin layer of mucus, which also serves the purpose of dissolving more complex compounds into simpler chemical odorants. The size of the OE and the density of sensory neurons varies among species; in humans, the OE is only about 9-10 cm2.
The olfactory receptors are embedded in the cilia of the...
44.1K
Physiology of Smell and Olfactory Pathway01:20

Physiology of Smell and Olfactory Pathway

7.8K
Humans detect odors with the help of specialized cells located in the upper part of the nasal cavity, called olfactory receptor neurons (ORNs). ORNs possess hair-like structures called cilia, which are receptive to sensations from the inhaled air. When an odorant molecule binds to a specific receptor on the cell of the cilia, it leads to a series of events that ultimately cause the ORN to send electrical signals to the olfactory bulb in the brain through the olfactory nerves.
The olfactory...
7.8K
Assessment of Diffusion and Perfusion01:17

Assessment of Diffusion and Perfusion

771
Understanding and evaluating diffusion and perfusion is critical in assessing a patient's respiratory and circulatory health. These processes play key roles in maintaining the body's internal environment, ensuring that tissues receive adequate oxygen while waste products are efficiently removed.
The Role of Diffusion in Respiration
Diffusion is the process by which molecules move from an area of higher concentration to an area of lower concentration. In the respiratory system, this...
771

You might also read

Related Articles

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

Sort by
Same author

Impact of Exposure Parameters on Deep Learning Models in Chest Radiography and Implications for Deployment.

Radiology. Artificial intelligence·2026
Same author

Discriminating HFrEF vs HFpEF from chest radiographs: Mitigating demographic performance gaps via augmentation and multimodal fusion.

PLOS digital health·2026
Same author

<i>SHORTKIT-ML</i>: A UNIFIED MULTI-PERSPECTIVE FRAMEWORK FOR DETECTING SHORTCUT LEARNING IN MEDICAL IMAGING EMBEDDINGS.

medRxiv : the preprint server for health sciences·2026
Same author

Diffusion-synthesized Chest X-rays improve fairness and diagnostic performance.

PLOS digital health·2026
Same author

A deep learning model based on ultrasound imaging to differentiate malignant from benign pleural effusion: a multicenter cohort study.

Respiratory research·2026
Same author

Enhancing brain-computer interface performance through source-level attention mechanism: An EEG motor imagery study.

Journal of neuroscience methods·2026

Related Experiment Video

Updated: May 24, 2025

Author Spotlight: Exploring Olfactory Influences on Corticospinal Excitability - Insights and Innovations in Neurological Research
06:13

Author Spotlight: Exploring Olfactory Influences on Corticospinal Excitability - Insights and Innovations in Neurological Research

Published on: January 19, 2024

946

Deciphering Odor Perception through EEG Brain Activity and Gas Sensors.

Hsin-Ping Peng, Hao-Lung Hsiao, Chien-Hui Su

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    Summary

    This study links gas sensor data and electroencephalogram (EEG) signals to identify odors. Combining these, we achieved 44% accuracy in odor discrimination, suggesting a unique

    More Related Videos

    A Free-breathing fMRI Method to Study Human Olfactory Function
    10:42

    A Free-breathing fMRI Method to Study Human Olfactory Function

    Published on: July 30, 2017

    9.6K
    Real-time In Vitro Monitoring of Odorant Receptor Activation by an Odorant in the Vapor Phase
    09:53

    Real-time In Vitro Monitoring of Odorant Receptor Activation by an Odorant in the Vapor Phase

    Published on: April 23, 2019

    7.0K

    Related Experiment Videos

    Last Updated: May 24, 2025

    Author Spotlight: Exploring Olfactory Influences on Corticospinal Excitability - Insights and Innovations in Neurological Research
    06:13

    Author Spotlight: Exploring Olfactory Influences on Corticospinal Excitability - Insights and Innovations in Neurological Research

    Published on: January 19, 2024

    946
    A Free-breathing fMRI Method to Study Human Olfactory Function
    10:42

    A Free-breathing fMRI Method to Study Human Olfactory Function

    Published on: July 30, 2017

    9.6K
    Real-time In Vitro Monitoring of Odorant Receptor Activation by an Odorant in the Vapor Phase
    09:53

    Real-time In Vitro Monitoring of Odorant Receptor Activation by an Odorant in the Vapor Phase

    Published on: April 23, 2019

    7.0K

    Area of Science:

    • Neuroscience and Artificial Intelligence
    • Sensory System Research
    • Computational Olfaction

    Background:

    • Technological advancements have produced sophisticated gas sensors and electronic noses.
    • Despite the importance of olfaction in human experience, AI and robotics have minimally explored this sense.
    • Individual experiences may significantly influence odor recognition and emotional responses.

    Purpose of the Study:

    • To investigate the correlation between gas sensor signals and electroencephalogram (EEG) activity during human odor recognition.
    • To explore the potential of integrating multimodal sensor data for enhanced odor identification.
    • To assess the influence of individual experiences on odor perception using comparative analysis with questionnaire data.

    Main Methods:

    • Development of a specialized odor-dispensing system for controlled stimulus delivery.
    • Simultaneous recording of EEG data from 15 subjects and gas concentration data for six distinct odors.
    • Utilizing two neural networks for analyzing and classifying combined EEG and gas sensor data.
    • Comparison of sensor-based findings with subject-reported experiences via questionnaires.

    Main Results:

    • Achieved 44% accuracy in discriminating between six different odor classes using combined EEG and gas sensor data.
    • Demonstrated a significant correlation between specific gas sensor patterns and corresponding EEG responses.
    • Identified potential variations in odor recognition based on individual subject data and experiences.

    Conclusions:

    • The integration of gas sensor signals and EEG activity offers a promising approach for creating a unique 'odor fingerprint'.
    • This multimodal strategy shows potential for advancing AI-driven odor identification systems.
    • Further research is warranted to explore the impact of individual differences on olfactory processing and AI-based recognition.