由睡眠障礙的問題日趨受到重視，睡眠障礙是被關注的殘存症狀，除了影響認知功能，會增加憂鬱、焦慮的復發率。大多數的抗憂鬱與助眠藥物易眠同時，難以維持睡眠品質、結構和日常生活功能且無藥物成癮風險。透過非藥物治療的神經回饋訓練，以腦電波做為回饋訊號，一般人與患者經一個月的訓練 ，學會自我控制調整大腦的運作情況來改善失眠，並驗證其失眠改善效益；但現今的裝置大多無法提供居家、長期、單人操作的神經回饋練平台，以及可靠的睡眠評量方式，致使神經回饋訓練仍局限於實驗室環境，較難以導入臨床診療流程與療能評估。

本論文希望開發出一套無線多通道腦電訊號感測與即時分析系統，該模組提供一套可以在不同情境下測量之應用。硬體上使用低雜訊類比前端(AFE)設計訊號擷取電路，配合內建藍芽的系統單晶片(SoC)做無線與有線通訊處理。為了驗證系統的無線傳輸穩定性、訊號一致性、可靠性及即時性我們安排了四項實驗，實驗一: 驗證系統無線傳輸穩定 ;實驗二: 本系統與PSG同時收錄1位健康成年人的整夜睡眠EEG，分析五階段睡眠訊號相關性與專家睡眠階段判讀的一致性;實驗三: 觀察模組在不同的時段alpha腦波表現; 實驗四: 觀察模組在即時分析應用之可行性。
透過以上實驗，得知訊號與專業儀器一致性皆高於九成，無線通訊則提供使用者較便利的使用方式與舒適感。而在應用延伸上，除了可以作為睡眠感測裝置，亦可做為神經回饋感測及即時分析的系統，提供更加便利的應用，目前本模組所延伸之應用約有50人使用過，其中包含10位臨床受試者。

Among the residual symptoms in remitted depressive or anxiety disorder, most patients are very concerned about sleep disturbance. Sleep disturbance not only influences the cognitive function but also increases the relapse rate of depression or anxiety. However, for chronic insomniac patients with depression or anxiety, common antidepressants influence the sleep architecture and sleep quality. As well most hypnotics do not fulfil all the condition for sleep induction, sleep maintenance, no influence on sleep architecture, nor daily life function and non-dependence tendency.
Through a one-month period of non-pharmacological neurofeedback training, it is expected to show effectiveness in treating insomnia by using the neuronal potential activity as signals to adjust the brain function. However, most of today's devices are unable to provide a home-based, long-term, single-player neural feedback platform, as well as a reliable sleep assessment method, which makes the neurofeedback training still very limited to the laboratory environment, making it difficult to introduce clinical diagnosis and treatment evaluation.
This study is to help develop a wireless multi-channel EEG signal sensing and real-time analysis system, which provides a set of applications that can be measured in different situations. The hardware uses a low-noise analog front-end (AFE) design signal capture circuit for wireless and wired communication processing with a built-in Bluetooth system-on-a-chip (SoC). In order to verify the wireless transmission reliability, signal consistency, reliability and immediate results of the system, we arranged four experiments. Experiment 1: Verify that the system wireless transmission is reliable; Experiment 2: This system and PSG simultaneously include 1 healthy adult. Night sleep EEG, analyze the consistency of the five-stage sleep signal correlation and the expert sleep stage interpretation; Experiment 3: Observe the alpha brain wave performance of the module in different time periods; Experiment 4: Observe the feasibility of the module in real-time analysis.
Through the above experiments, it is found that the signal and professional instruments are more than 90% consistent, and wireless communication provides users with convenient use and comfort. In addition to application as a sleep sensing device, it can also be used as a system for neural feedback sensing and real-time analysis to provide more convenient applications. Currently, the application extended by this module is used by about 50 people. Contains clinical subjects.

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