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

• Päätekijät: Yutang Li (Tekijä), Dezhi Cao (Tekijä), Junda Qu (Tekijä), Wei Wang (Tekijä), Xinhui Xu (Tekijä), Lingyu Kong (Tekijä), Jianxiang Liao (Tekijä), Wenhan Hu (Tekijä), Kai Zhang (Tekijä), Jihan Wang (Tekijä), Chunlin Li (Tekijä), Xiaofeng Yang (Tekijä), Xu Zhang (Tekijä)
• Aineistotyyppi: Kirja
• Julkaistu: IEEE, 2024-01-01T00:00:00Z.
• Aiheet: article
• Linkit: Connect to this object online.

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...