北京生物醫(yī)學(xué)工程

基于小波分析提取心動周期中的睡眠呼吸事件信息

Information Extraction of Sleep-Related Breathing Events in R-R Intervals Based on Wavelet Analysis

作者：吳鋒成奇明周玉彬俞夢孫

單位：空軍航空醫(yī)學(xué)研究所（北京100142）

關(guān)鍵詞：睡眠呼吸暫停低通氣綜合征；多功能睡眠記錄儀；睡眠呼吸事件;呼吸暫停低通氣指數(shù)

分類號：

出版年·卷·期（頁碼）：2011·30·3（259-262）

摘要：

為了挖據(jù)心動周期中的睡眠呼吸事件信息,為無干擾睡眠呼吸事件監(jiān)測提供技術(shù)支持，本文利用多分辨率小波分析方法，對患有睡眠呼吸暫停低通氣綜合征病人的心率序列進(jìn)行分解和重建，獲得與睡眠呼吸事件相關(guān)聯(lián)的特征波形。根據(jù)特征波形的波形特點與睡眠呼吸事件的關(guān)系，最后識別出呼吸事件發(fā)生的位置和類型。上述方法的分析結(jié)果與多功能睡眠記錄儀結(jié)果進(jìn)行比較證實該方法是有效和可行的。

To dig the sleep-related breathing events information in R-R Intervals and advance the technology for nonintrusive monitoring. By using of wavelet analysis method the feature waves related with breathing events was fetched by decomposing and reconstructing the R-R intervals signals from patients with SAHS(sleep apnea hypopnea syndrome) whole night. The relationship between the feature waves and breathing events was studied, and by which the position and type of breathing events were distinguished. The distinguished result compared with that of polysomnograph showed that the proposed method was effective and practicable.

參考文獻(xiàn)：

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