北京生物醫(yī)學(xué)工程

睡眠分期的符號(hào)轉(zhuǎn)移熵分析

Symbolic transfer entropy analysis of sleep stage classification

作者：井曉茹胡晏婷王俊

單位：南京郵電大學(xué)通信與信息工程學(xué)院（南京210003）

關(guān)鍵詞：腦電圖；符號(hào)化；相空間重構(gòu)；符號(hào)轉(zhuǎn)移熵；睡眠分期

分類號(hào)：

出版年·卷·期（頁(yè)碼）：2012·31·4（372-376）

摘要：

目的睡眠分期是衡量睡眠質(zhì)量和診治睡眠障礙性疾病的重要途徑，轉(zhuǎn)移熵是一個(gè)量化2個(gè)序列相關(guān)程度的參數(shù)。本文將基于符號(hào)化技術(shù)的符號(hào)轉(zhuǎn)移熵首次應(yīng)用在睡眠分期研究中，克服了以往方法對(duì)參數(shù)之間協(xié)調(diào)性要求高以及對(duì)噪聲敏感的缺點(diǎn)。方法通過(guò)提取相同個(gè)體相同時(shí)刻的清醒期和非快速眼動(dòng)睡眠Ⅰ期的EEG、ECG信號(hào)，分別進(jìn)行符號(hào)化、相空間重構(gòu)后，計(jì)算符號(hào)轉(zhuǎn)移熵，對(duì)兩個(gè)睡眠階段的符號(hào)轉(zhuǎn)移熵進(jìn)行t檢驗(yàn)及多樣本驗(yàn)證。結(jié)果實(shí)驗(yàn)結(jié)果表明清醒期符號(hào)轉(zhuǎn)移熵大于非快速眼動(dòng)睡眠Ⅰ期的符號(hào)轉(zhuǎn)移熵。經(jīng)t檢驗(yàn)表明這兩個(gè)階段的符號(hào)轉(zhuǎn)移熵值有顯著性差異，并通過(guò)多樣本驗(yàn)證。隨著睡眠加深，身體單元不斷偶合，符號(hào)轉(zhuǎn)移熵減小，與理論分析相符合。結(jié)論清醒期和非快速眼動(dòng)睡眠Ⅰ期的符號(hào)轉(zhuǎn)移熵很好地體現(xiàn)了睡眠狀態(tài)的變化，因此符號(hào)轉(zhuǎn)移熵可用于睡眠分期，并成為研究睡眠自動(dòng)化分期的極具潛力的分析工具。

Objective Sleep stage classification is important to the evaluation of sleep quality, the diagnosis and treatment of sleep disorders. Transfer entropy is a parameter to measure the relevance of two time sequences symbolic transfer entropy(STE), which is based on the technique of symbolization, may be the first application in the study of sleep stage classification. This method overcomes the drawbacks of requirement for the coordination between parameters and the sensitivity to noise contributions. Methods The EEG and ECG signals about the wake stage and the first stage of non-rapid eye movement sleep are extracted from the same people at the same time. After symbolic and space reconstruction, we compute the STE and test by t test with multi-samples. Results The STE of wake stage is larger than that of the first stage of non-rapid eye movement sleep and the difference between the two sleep stages is significant in t test. Brain cells and heart cells continue to be coupling, the STE become smaller as the sleep stage is deepening. Therefore, the experiment results are consistent with the theory. Conclusions The STE about the wake stage and the first stage of non-rapid eye movement sleep reflects the changes of sleep stages and can be applied in sleep stage classification. STE may be a promising tool for the analysis of automatic sleep classification.

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