鼾聲在睡眠品質評判裡扮演著重要的角色，隨著醫學與科技的進步，多層次睡眠檢測(PSG)的應用讓我們可以更容易的去了解睡眠結構以及睡眠期間各種生理狀態。本論文想藉由語音分析裡常使用的線性預估法來推測發聲腔體的管節形狀，試著去估測產生鼾聲時口腔及鼻腔內的各管節截面積。然而使用在語音分析上的全極點型式線性預估法，已經先將鼻腔部分的響應忽略，故用此方法當作預估架構將無法順利估算出鼻腔的管節面積，於是我們利用極零點型式線性預估法，試著去解決鼻腔預估的問題。

睡眠時有嚴重打鼾情形，往往伴隨著呼吸中止的情況發生，我們在建立腔體模型的同時，不僅希望能夠找到鼾聲發生的位置，也試著在透過擷取呼吸中止前後的鼾聲與一般型鼾聲做比對，找到呼吸中止時的鼾聲特徵。

在研究的過程中，由於遇到數值分析上的問題，我們利用醫院提供的儀器:鼻阻儀。使用鼻阻儀所提供的數據來固定部分腔體，達到降低分析階數。最後進而聯想到在未來是否可以從發聲源的位置下手分析鼾聲，以及激發訊號的分析都是我們可以繼續研究的課題。

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