Federated deep learning model for epilepsy seizure detection using electroencephalogram (EEG) signal

The Federated Learning Enabled Unified Transformer model provided a superior performance by integrating Federated learning and hybrid Deep Learning models. It ensures that the model is more suitable for healthcare users.

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Publication Details

Journal
Neurological Research
Published
2025-09-23
DOI
https://doi.org/10.1080/01616412.2025.2555516
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
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article

Federated deep learning model for epilepsy seizure detection using electroencephalogram (EEG) signal

A. Chandrasekar, Sasireigga Jaya Jothi, G R Abijith
Neurological Research
EEG and Brain-Computer Interfaces
article

Federated deep learning model for epilepsy seizure detection using electroencephalogram (EEG) signal

A. Chandrasekar, Sasireigga Jaya Jothi, G R Abijith
article en

Abstract

The Federated Learning Enabled Unified Transformer model provided a superior performance by integrating Federated learning and hybrid Deep Learning models. It ensures that the model is more suitable for healthcare users.

Neurological Research
Saint Joseph's College (US), St. Joseph's Institute of Technology (IN), St. Joseph’s College of Engineering (IN)
Openalex Percentile: Top 74%
EEG and Brain-Computer Interfaces
DOISourceOpenAlex
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