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脑电时频表征的深度学习用于眼状态识别

IF 0.9 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Advances in Data Science and Adaptive Analysis Pub Date : 2018-08-15 DOI:10.1142/S2424922X18400065
Dharmendra Gurve, S. Krishnan
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引用次数: 9

摘要

提出了一种新的卷积神经网络(CNN)结构，利用非平稳生物医学信号的时频表示对其进行分类。本方法使用……的谱图。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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Deep Learning of EEG Time-Frequency Representations for Identifying Eye States
A new Convolutional Neural Network (CNN) architecture to classify nonstationary biomedical signals using their time–frequency representations is proposed. The present method uses the spectrogram of...
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来源期刊
Advances in Data Science and Adaptive Analysis
Advances in Data Science and Adaptive Analysis MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
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