Automatic sleep staging with only one channel is a challenging problem in sleep-related research. In this paper, a simple and efficient method named PPG-based multi-class automatic sleep staging (PMSS) is proposed using only a photoplethysmography (PPG) signal. Single-channel PPG data were obtained from four categories of subjects in the CAP sleep database. After the preprocessing of PPG data, feature extraction was performed from the time domain, frequency domain, and nonlinear domain, and a total of 21 features were extracted. Finally, the Light Gradient Boosting Machine (LightGBM) classifier was used for multi-class sleep staging. The accuracy of the multi-class automatic sleep staging was over 70%, and the Cohen's kappa statistic k was over 0.6. This also showed that the PMSS method can also be applied to stage the sleep state for patients with sleep disorders.

中文翻译：

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基于光电容积描记信号的多级自动睡眠分级方法


仅使用一个通道的自动睡眠分期是睡眠相关研究中的一个具有挑战性的问题。在本文中，提出了一种仅使用光电体积描记法（PPG）信号的简单有效的方法，称为基于 PPG 的多类自动睡眠分期（PMSS）。单通道 PPG 数据来自 CAP 睡眠数据库中四类受试者。对PPG数据进行预处理后，从时域、频域、非线性域进行特征提取，共提取21个特征。最后，使用光梯度增强机 (LightGBM) 分类器进行多级睡眠分级。多级自动睡眠分期准确率超过70%，Cohen's kappa统计量k超过0.6。这也表明PMSS方法也可以应用于睡眠障碍患者的睡眠状态分期。