近年來，隨著CMOS積體電路技術的發展與製程技術的不斷精進，產生了許多積體電路在生物醫學中的應用;例如利用植入式腦機介面應用於治療帕金森氏症、癲癇等疾病的醫療技術，越來越廣泛地受到關注與研究。本論文旨在研究用於深腦電刺激療法，在進行刺激過程的β波偵測電路的開發，以提供更有效的帕金森氏症治療。因為連續型刺激裝置會抑制病人正常的生理活動，因此偵測型的閉迴路系統有其發展的重要性。另一方面，運用丘腦下核所產生的腦波訊號來分析病症發作是在醫學上長久以來就有的證據;其包含了在電性偵測上所發現的訊號變化或是在頻譜分析上能量的改變。而本研究是對於腦波訊號中β頻段上所產生的能量變化進行偵測並判斷是否有病症發作。其中運用的架構，包含透過前端的低雜訊放大器及運用次臨界區工作之帶通濾波器來擷取20~40 Hz頻段的訊號，並透過運用平方電路算出平均能量的演算法來達成。
使用TSMC 0.18um 1P6M製程，不包含電壓緩衝器及比較器功耗可以小於10uW，(轉導電容式帶通濾波器1.8uW乘法器 0.428uW 積分器 0.45uW)此外輸入線性範圍可以達到 400mV，整個晶片面積大小為200um*950um.，此研究的重點，將包括演算法探討、模組電路的功能驗證、及積體電路的設計實現、以及晶片整合雛型系統的效能驗證。此研究將有助於閉迴路與自適性的刺激裝置於植入式腦機介面的應用。

In recent years, with the development of CMOS technology and the improvement of process, a number of integrated circuits have been used in biomedical applications. For instance, implantable brain-machine interfaces for treating Parkinson’s disease, epilepsy, and other diseases have attracted more and more attentions and research resources.
This thesis aims to design the β wave detecting system during the stimulation for studying the mechanism of deep brain stimulation (DBS) and the therapy for the Parkinson’s disease. The continuous, periodic DBS not only inhibits abnormal neuron activities but also suppresses some normal physiological activities. Therefore, the closed-loop system is proposed. On the other hand, to analyze the brain wave from the STN and Motor Cortex is medical evidence related to this disease. In this research, the spectrum and different energy algorithm were used to detect the energy difference between the stimulation and without stimulation.
Firstly we implemented the system through the frontend of the low noise amplifier and the Gm-C based band-pass filter to capture Beta band signal. Besides, the research also used the square and integrator circuit to calculate the average energy of the Beta band. In addition, to achieve low power consumption, all transistors in this system were designed in the subthreshold region. The system chip was fabricated and verified by using TSMC 018um 1P6M CMOS process.The total power of the system without buffer is less than10uw (Gm-C band-pass filter 1.8uW multiplier 0.428uW integrator 0.45uW)and input linear range can be reached 400mV.The chip total area is 200um*950um.
The focus of the research includes discussion of the algorithm, functional verification of the module circuit, design implementation of integrated circuits, and chip verification for integration prototype system performance. This study will be helpful for designing a closed-loop and adaptive stimulation device in the implanted brain machine interface.

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