閉迴路癲癇偵測之生理訊號處理積體電路實現

Design and Implementation of Bio-Signal Processors for Closed-loop Epileptic Seizure Detector

何嘉倫(Chia-Lun Ho)

指導教授 ： 闕河鳴

國立交通大學/電機學院/電機工程系所/碩士(2013年)

https://doi.org/10.6842/NCTU.2013.00665

摘要

癲癇是一種常見的神經失調疾病，而全球有百分之一的人患有此疾病，但癲癇病患中有百分之三十的人無法用藥物去做有效的癲癇控制，因此，一個可植入式及可攜帶式的醫療式器材是對癲癇控制的一種方法。
在此篇論文，提出了兩個分別由ASIC-based和RISC-based所實現的癲癇偵測器去實現及時性的閉迴路癲癇偵測演算法，第一個由ASIC-based所實現一個擁有無線資料傳輸功能的癲癇偵測器，是使用台積電0.18μm CMOS製成實現，並且做了動物實驗去驗證整個晶片系統，而第二個油RISC-based所實現一個擁有有線脈衝響應濾波器的癲癇偵測器，是使用台積電90 nm CMOS製成實現，在多通道的癲癇偵測運作時，此RISC-based的晶片比起第一個ASIC-based的晶片可消耗較少的能量。

關鍵字

癲癇 ； SoC ； 閉迴路 ； 系統晶片

並列摘要

Epilepsy is one of the most common neurological disorders, by which around 1% of the people in the world are affected. Unfortunately, 30% of the epilepsy patients cannot be treated sufficiently by antiepileptic drugs. As a result, a suitable implantable and portable medical device is a solution for epilepsy seizure control. To address these issues, an ASIC-based seizure detector and a RISC-based seizure detector are proposed to realize real-time closed-loop seizure detection algorithm. The ASIC-based seizure detector with wireless signal transmission is implemented in 0.18μm CMOS process and verified by animal experiment. The RISC-based seizure detector with FIR filter is implemented in 90 nm CMOS process and dissipates lower power compared with ASIC-based SoC when multi-channel seizure detection is realized.

並列關鍵字

Epilepsy ； seizure detection ； closed-loop ； System-on-a-chip

參考文獻

E. F. Chang, and N. M. Barbaro, “Epilepsy Surgery: The Emerging Field Of Neuromodulation,” Neurosurgery Clinics of North America., vol. 22, no. 4, pp. ix-x, Oct. 2011.

F. A. Al-Otaibi, C. Hamani, and A. M. Lozano, ”Neuromodulation in epilepsy,” Neurosurgery, Vol. 69, no. 4, pp. 957-979, Oct. 2011.

L. Brian, "Evaluating devices for treating epilepsy," Epilepsia, vol. 44 no. 7, pp. 30-37, 2003.

J. Yoo, L. Yan, , D. E. Damak, M. A. B. Altaf, A. H. Shoeb, and, A. P. Chandrakasan, “An 8-Channel Scalable EEG Acquisition SoC With Patient-Specific Seizure Classification and Recording Processor,” IEEE J. Solid-State Circuits, vol. 48, no. 1, pp. 214-228, Jan. 2013.

M. Salam, M. Sawan, and D. Nguyen, “A novel low-power-implantable epileptic seizure-onset detector,” IEEE Trans. Biomed. Circuits Syst., vol. 5, no. 6, pp. 568-578, Dec. 2011.