Design of a hybrid AI network circuit for epilepsy detection with 97.5% accuracy and low cost-latency

Design of a hybrid AI network circuit for epilepsy detection with 97.5% accuracy and low cost-latency

Epilepsy detection using artificial intelligence (AI) networks has gained significant attention. However, existing methods face challenges in accuracy, computational cost, and speed. CNN excel in feature extraction but suffer from high computational latency and power consumption, while SVM rely heav...

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Bibliographic Details
Main Authors: Liufang Sheng, Xuanxu Chen, Yuejun Zhang, Ke Yan, Junping Chen, Zhikang Chen, Hanyu Shi, Yi Gong
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Physiology
Subjects:
epilepsy detection
biomedical diagnostics
hybrid AI network model
convolutional neural network
hardware implementation
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2025.1514883/full
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https://www.frontiersin.org/articles/10.3389/fphys.2025.1514883/full

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