在現今社會人們腳步愈來愈繁忙，需要更有效率地利用時間。在工作場所小睡片刻已經相當的普遍。因此，短暫的午睡是否有益午後的工作效率以及多長的午睡時間效果最好都是我們想知道的課題。為此本論文設計一套午睡實驗來探討睡至不同睡眠階段(stage 2和slow wave sleep)被喚醒的午睡對於程序記憶－手指連續按鍵測驗是否有所提升。本實驗分為三組: S2組、SWS組、Wake組，總共有四十五位非習慣午睡者參與我們的實驗。實驗結果發現S2組在剛起床後的行為表現和睏睡度都有所改善，而SWS組的行為表現較S2組來得差，睏睡度也略微上升，可能是受到睡眠慣性的影響。Wake組的行為表現和睏睡度則是三組裡面最差的。根據實驗結果，我們建議在最適當的午睡時間長度為睡至stage 2後的10到20分鐘。然而，每個人入睡的時間不一，若使用一般鬧鐘，這樣的目的並不容易達成。因此，在本論文的第二部分，我們開發了一套以單通道腦波訊號(C3-A2)為基礎的午睡時間控制系統，並進一步對十位健康的成年人進行本系統的即時測試。我們藉由階層式自動睡眠判讀方法，即時地去計數睡眠的長度。測試結果顯示，在睡至stage 2後10分鐘的午睡時間判讀上，我們的系統與專家只有0.45分鐘的差距(標準差0.55分鐘)，這亦驗證了我們的午睡時間控制系統確實很接近專家的判讀結果。將來，我們希望運用此午睡時間控制系統讓每個人都有最佳的午睡時間長度，進而達到更好的學習效果以及睡眠的效率。

Nowadays many people are busy with their work and need to manage their time efficiently. Napping in the workplace is becoming more and more popular. Therefore, we want to know whether a short daytime nap has beneficial effects on the following work and how long should we nap. In this paper, a nap experiment was designed to research on awaking up after different sleep stages (stage 2 and slow wave sleep) and whether they improve procedural memory (sequential finger-tapping task) or not. Forty-five non-habitual nappers were randomly assigned to S2 group, SWS group, or Wake group. The result shows that S2 group produces benefits not only in procedural memory consolidation but also in sleepiness reduction. On the contrary, the SWS group had worse behavioral performance than S2 group and the sleepiness increased which might be influenced by sleep inertia. The performance and sleepiness of Wake group was worst among three groups. According to the result, we suggest that the optimal napping length is 10 to 20 min after stage 2 sleep. However, the sleep onset time of everyone is not the same. This goal is not easy to achieve by using a general alarm clock. Therefore, we developed a nap time control system using single channel EEG signal (C3-A2). Ten healthy young adults were used for on-line testing our system. We used a hierarchical method for automatic sleep staging and counted the sleep epochs continuously. The result shows that the error of a 10 min nap duration after stage 2 judged by our system and expert was only 0.45 min in average (S.D = 0.55 min). It is also prove that our nap time control system is very similar to the result of visual scoring by expert. In future, we hope the nap time control system can be applied to everyone for an optimal napping length and to achieve a better learning effect and sleep efficiency.

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