使.

Xin Xu1, Bei Zhang1, Tingting Xu1

  • 1School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China.

概括

本研究介绍了一种可解释的机器学习模型,用于使用电脑图 (EEG) 和电眼图 (EOG) 信号自动测定睡眠阶段. 该方法实现了竞争力的准确性,为睡眠障碍诊断的复杂深度学习方法提供了切实可行的替代方案.

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