透過您的圖書館登入
IP:3.14.253.152
  • 學位論文

低雜訊低功耗前端生醫訊號讀取電路

A Low-power Low-noise Analog Front-end for Bio-signal Detecting Application

指導教授 : 呂學士

摘要


由於患有慢性疾病的患者越來越多以及老年化社會的來臨,現代社會對於個 人化遠距醫療照護的需求也越來越高。幸運的是,隨著半導體產業的快速發展以 及積體電路設計產業逐漸的成熟,用來感測及監測生理訊號的生物醫學晶片得以 被實現。開發一個生醫訊號偵測系統晶片來實現遠距醫療照護的服務是可行的。 這不僅能幫助人們預防得到疾病還能促進人們的健康,進而增進生活的品質。 根據衛生署所頒佈的資料,心血管疾病是國人的十大死因之一。因此,一個可 以應用在醫療照護服務生醫訊號監測系統對於現今社會是有其需要的。為了要實 現一個生醫訊號監測系統,處理類比生理訊號的類比前端電路在系統裡是扮演關 鍵性的電路區塊。本論文提出了多種低功耗低雜訊的類比前端電路用來偵測生醫 訊號。類比前端電路使用 TSMC0.35μm/TSMC0.18μm 的製程技術來完成高性能 的生物醫學晶片。本論文所提出的前端電路分別為單端低功耗高校正準確度介面 以及全差動雙端放大器以及可調式增益放大器。為了要符合各種生醫訊號大小的 偵測及設備可攜性,類比前端電路在 1V 以及 3V的供應電壓下分別只消耗了8uW 以及 7uW。

並列摘要


With the growing pains suffered from chronic disease and the coming of aging society, there is a highly demand on personal telehealth systems. Fortunately, due to the dramatic development of semiconductor technology and the IC design industries, biomedical chips can be developed for sensing and monitoring bio-signals. It is possible for us to develop a bio-signal monitoring SoC to realize this goal. It not only help people prevent illness in advance but also benefit their health that would increase their quality of life. According to the information that announced by the Department of Health, cardiac disease is one of the leading causes of death. Therefore, a bio signal detection system for personal health is needed. To realize a bio signal detection system, the analog front-end is a critical circuit block with the function of signal arrangement in the system. In this thesis, two kinds of low power and low noise analog front-end are proposed to lower the noise interference and provide a reliable detection interface. The two analog front-end are based on the TSMC 0.18μm and TCMS0.35μm technology respectively .They are proposed to realize high performance biomedical ICs. A differential difference amplifier with an adjustable gain amplifier for bio signal detecting and a single-end high calibration accuracy interface are proposed. The analog front-end only consumes 7uW based on the 3V voltage supply and 8uW based on the 1V voltage supply respectively.

並列關鍵字

analog front end lowpower lownoise

參考文獻


[1] John G. Nicholls, A. Robert Martin, Bruce G. Wallace, et al. “From Neuron tobrain(fourth edition)”
[2] Roberto Merletti, Ph.D. ”Basic concepts and applications of multichannel surface EMG”
[3] Yu-Yi Wang “Time-Frequency Analysis for EMG signals”
[4] Zhu-Xuan Lin,” dvanced Digital Signal Processing Tutorial Eletromyography Signal Analysis”, Graduate Institute of Biomedical Engineering National Taiwan University, Taipei, Taiwan, ROC
[5] BME 366 Lab “Muscle and Joint Mechanics Electromyogram (EMG)”

延伸閱讀