隨著近幾年來腦神經病變與心血管罹患人口數高居不下及人口逐漸老化，居家照護系統的議題逐漸變的重要，在居家照護系統中，對於如何做系統設計、縮小其體積與低功耗之考量是非常重要的議題，該類系統之設計通常包含前端截取電路之設計、數位演算法之設計、通訊基頻調變處理器之設計以及無線傳輸介面之設計，本論文主要分為三個部分來分別討論這些設計之議題。
第一部分為實現一個無線可程式化閉迴路之癲癇控制系統，其包含基因轉植、前端感測設計、辨識演算法設計、刺激電路設計、無線收發機設計、系統晶片整合、韌體設計、軟體設計、動物實驗設計、系統整合設計等各領域，於軟體上醫生可參考所呈現之生理訊號，判斷是否給予刺激訊號病同時調整刺激之大小，於硬體上同時也具有偵測之功能可開啟閉迴路控制模式。
第二部分則是針對前端截取電路之類比數位轉換器進行設計，在此部分，本論文提出一個以單點快速複利葉轉換以校正電容陣列之演算法用以提升整體類比數位轉換器效能，並設計一類比數位轉換器配合可程式化邏輯閘陣列平台進行驗證，其中，快速複利葉轉換常用於信號分析中，作者預期演算法電路於校正完成後得以於第一部分之生理信號分析中進行重複使用。
第三部分為選定射頻識別之無線介面進行通訊基頻調變處理器之晶片設計，且將整體收發機系統設置完成，使其得以進行訊號之傳輸，其特點著重於降低傳輸時貼身端及植入端功率消耗，使得系統整體更符合長期監控及穿戴式應用。
本論文之三個部分所著重的分別為無線介面設計、感測部分設計及系統整合之設計，期許未來透過結合本論文之三部分設計，可以得到更接近產品的無線低功耗穿戴式居家照護系統晶片及其晶片應用。

With the high number of people suffering from cardiovascular and cerebral neuropathy and the aging of the population in recent years, the issue of home care systems has become increasingly important. In home care systems, it is very important to consider how to design the system, reduce its size and reduce power consumption. The design of such systems usually includes the front-end acquisition circuit, digital algorithms, the communication baseband modulation processor, and the wireless transmission interface. These design issues are divided into three parts to discuss in this dissertation.
The first part is about the implementation of a wireless programmable closed-loop epilepsy control system. This system includes gene transfer, front-end sensing design, identification algorithm design, stimulation circuit design, wireless transceiver design, system-on-chip integration, firmware design, software design, animal testing design, system integration design, etc. On the software, the doctor can refer to the presented bio-signals to determine whether to give a stimulus signal and also adjust the intensity of the stimulation. It also has a detection function on the hardware to provide the closed-loop control mode.
The second part describes the design for analog digital converters (ADC). In this part, the author proposes a single-bin fast fourier transform (FFT) based algorithm to calibrate the capacitor array to improve the performance of the overall successive approximation register (SAR) ADC, and has done the algorithm verification with an SAR ADC chip and a field programmable logic gate array platform. Among them, the FFT is often used in signal analysis. The author expects that the algorithm circuit can be reused in bio-signal analysis in first part algorithm design after the calibration process is completed.
The third part is the chip design of the baseband modulation processor for the selected radio frequency identification (RFID) wireless interface, and the overall transceiver system is setup completely for signal transmission. The usage of RFID let the whole system more suitable for long-term monitoring and wearable application, because it can reduce the transmission power of body-end / implanted device.
The three parts of this dissertation focus on wireless interface design, sensing circuit design and system integration design. By combining the three parts design, a product prototype about wireless low-power wearable home care system-on-a-chip and its applications can be obtained in the future.

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