Inception networks, data augmentation and transfer learning in EEG-based photosensitivity diagnosis
Photosensitivity refers to a neurophysiological condition in which the brain generates epileptic discharges known as Photoparoxysmal Responses (PPR) in response to light flashes. In severe cases, these PPR can lead to epileptic seizures. The standardized diagnostic procedure for this condition is ca...
Saved in:
Main Authors: | Fernando Moncada Martins, Víctor M González, José R Villar, Beatriz García López, Ana Isabel Gómez-Menéndez |
---|---|
Format: | Article |
Language: | English |
Published: |
IOP Publishing
2025-01-01
|
Series: | Machine Learning: Science and Technology |
Subjects: | |
Online Access: | https://doi.org/10.1088/2632-2153/adb008 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Comparative analysis of transfer learning performance on generalised EEG data for use in a depression diagnosis task
by: Shusharina, Natalia Nikolaevna
Published: (2025-01-01) -
Dynamic effects and information quantifiers of statistical memoryof MEG's signals at photosensitive epilepsy
by: R. M. Yulmetyev, et al.
Published: (2008-11-01) -
CLN6‐related continuum phenotype caused by aberrant splicing
by: Federica Invernizzi, et al.
Published: (2025-02-01) -
EEG Information Transfer Changes in Different Daily Fatigue Levels During Drowsy Driving
by: Kuan-Chih Huang, et al.
Published: (2024-01-01) -
Exploring the Effectiveness of Machine Learning and Deep Learning Techniques for EEG Signal Classification in Neurological Disorders
by: Souhaila Khalfallah, et al.
Published: (2025-01-01)