Automatic Detection of Scalp High-Frequency Oscillations Based on Deep Learning

Automatic Detection of Scalp High-Frequency Oscillations Based on Deep Learning

Scalp high-frequency oscillations (sHFOs) are a promising non-invasive biomarker of epilepsy. However, the visual marking of sHFOs is a time-consuming and subjective process, existing automatic detectors based on single-dimensional analysis have difficulty with accurately eliminating artifacts and t...

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Bibliographic Details
Main Authors: Yutang Li, Dezhi Cao, Junda Qu, Wei Wang, Xinhui Xu, Lingyu Kong, Jianxiang Liao, Wenhan Hu, Kai Zhang, Jihan Wang, Chunlin Li, Xiaofeng Yang, Xu Zhang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Deep learning
epilepsy
scalp electroencephalography
scalp high-frequency oscillations
Online Access:https://ieeexplore.ieee.org/document/10500367/

Internet

https://ieeexplore.ieee.org/document/10500367/

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