人腦一直是人體中最為重要的器官之一，它掌控著我們的每一個舉動，也關乎我們對於周遭事物的理解。而如此重要的器官，也引發人們想透過各種方式進行觀察與探測。截至目前為止，科學家們已經開發出多種方法能及時監測腦部的活動狀態，各個方法各有其優缺點與適合應用的場景，但對於各方法視為缺點的場域卻難以攻克。 為此本研究設計開發了一套無線監測系統，用以同時量測fNIRS訊號與EEG訊號，使我們可以更有效地利用fNIRS訊號在其空間解析度的優勢與EEG在時間解析度的優勢，並且訊號透過低功耗藍芽(BLE)進行資料的即時傳輸，在本地端即可使用手機進行即時的數據觀察。 在EEG訊號方面，此裝置採用類比前端整合IC (ADS1299)進行訊號的收取，而採用乾式導極的設計避免了導電膠的使用。在fNIRS訊號方面，總共有8個通道的fNIRS訊號接收通道被置於前額處，其中2個被規劃為Short Separation 通道，而透過此設計，可以在面臨表層組織的耗氧量產生劇烈改變而影響到腦內耗氧的監測時進行動態補償，進一步使取得的訊號更為精確。同時，本研究也將閘道器(Gateway)技術應用於此裝置，透過此閘道器的設計，原本只能透過BLE進行資料傳輸的設備，也可以直接與雲端相連並將量測數據即時上傳。 在最後，我們透過進行閉眼放鬆實驗與閉氣實驗確認此儀器的有效性，當受測者在閉眼時可以明顯觀察到α波的增加，並在閉氣實驗中可以看出訊號波動的頻率與受測者進行閉氣時間的關係，而以上實驗皆可透過設計之閘道器即時於伺服器中觀察。 ;The brain is one of the most important organs of the human body. It controls every single movement and affects every single thought of us on everything. To date, scientists have developed numerous ways to monitor the brain. While Every method has its advantages and disadvantages, it is difficult to overcome the fields that are regarded as shortcomings. The study proposes a wireless multimodal monitoring system that records the fNIRS and EEG signals at the same time. The system allows us to effectively make use of the high spatial resolution on fNIRS and the high time resolution on EEG, with the signal being able to transmit to the smartphone for real-time display. This study uses ADS1299 for EEG measurement. And the implementation of the dry electrodes prevents the use of the gel. As for the fNIRS signal, there are 8 channels in total placed on the forehead, and two of them are designed to be Short Separation channels. The design provides a way of for compensating the change caused by the surface structure. At the same time, a BLE-NET gateway is implemented in this study for making it possible to let the BLE device connect to a web server directly. An eye-closed resting experiment and a breath-suspending experiment are used for examining the functionality. The rising energy of α-wave while closing eyes and the correlation between the change in signal and the period on breath-suspending time was observed with all the data collected through the BLE-gateway in real-time.
