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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 電子工程學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/62998
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dc.contributor.advisor呂學士(Shey-Shi Lu)
dc.contributor.authorTzu-Wei Linen
dc.contributor.author林資偉zh_TW
dc.date.accessioned2021-06-16T16:18:08Z-
dc.date.available2018-02-21
dc.date.copyright2013-02-21
dc.date.issued2013
dc.date.submitted2013-02-04
dc.identifier.citation[1] Q. Huang and M. Oberle, “A 0.5-mW passive telemetry IC for biomedical applications,” IEEE J. Solid-State Circuits, vol. 33, pp. 937-946, July 1998.
[2] M. Steyaert and W. Sansen, “Low-power monolithic signal-conditioning system”,IEEE J.Solid-state Circuits,” vol.25, pp.609-612, Apr. 1990.
[3] W. Y. Chung et al., “Modular-based design and implementation of a programmable demand pacemaker,” in Proc. 17th Annual Int. Conf. IEEE/EMBS, Montreal, QC, Canada, 1995.
[4] K-I Chen, Y-T Chen, et al, 'Silicon nanowire field-effect transistor-based biosensors for biomedical diagnosis and cellular recording investigation,' Nano Today, vol. 6, 131—154, 2011.
[5] Biosensors: Introduction Overview, Retrieved Jan 2012, http://www.sirebi.org/open/Intro_Biosensing.pdf.
[6] Y-M Chi, Gert C-, et cl, 'Dry-Contact and Noncontact Biopotential Electrodes: Methodological Review,' REVIEWS IN BIOMEDICAL ENGINEERING, VOL. 3, 2010.
[7] C.-W. Huang, et al, 'A Fully Integrated Hepatitis B Virus DNA Detection SoC based on Monolithic Polysilicon Nanowire CMOS Process,' Symposium on VLSI Circuits, Jun. 2012.
[8] P.-H. Kuo, et al, 'A Hydrogel-Based Implantable Wireless CMOS Glucose Sensor SoC,' ISCAS, 2012.
[9] L M. Shepherd, C Toumazou, 'A Biochemical Translinear Principle With Weak Inversion ISFETs,' TRANSACTIONS ON CIRCUITS AND SYSTEMS I, vol. 52,no.12 pp. 2614-2619, Dec. 2005.
[10] Behzad Razavi, 'Design of Analog CMOS Integrated Circuits,' McGraw-Hill, 2001..
[11] Behzad Razavi, 'Principles of Data Conversion System Design,' John Wiley & Sons, 1994..
[12] Refet Firat Yazicioglu, Chris Van Hoof, Robert Puers, 'Biopotentail Readout Circuit for Portable Acquisition Systems,' Springer, 2009..
[13] Willy M.C. Sansen, 'Analog Design Essentials,' Springer, 2006.
[14] Mingliang Liu, 'Demystifying Switched-Capacitor Circuits,' Elsevier newnes, 2006.
[15] Hsu Yu Pin, 'A CMOS Low-noise Analog Front-End IC Design for Biomedical Applications,' Master thesis, Graduate Institute of Electronics Engineering, National Taiwan University.
[16] Shun-Tung, Lu, 'A low power Analog Front-End for Bio-signal monitoring system application,' Master thesis, Graduate Institute of Electronics Engineering, National Taiwan University.
[17] Woradorn Wattanapanitch, 'An Ultra-Low-Power Neural Recording Amplifier And Its Use in Adaptively-Biased Multi-Amplifier Arrays', Master thesis, EECS, Massachusetts Institute of Technology 2007.
[18] Christian C. Enz, Gabor C. Temes, 'Circuit Techniques for Reducing the effects of Op-Amp Imperfections: Autozeroing, Correlated Double Sampling, andChopper Stabilization', Proceedings of the IEEE vol. 84, no. 11, November 1996.
[19] K. Martin, L. Ozcolak, and G. C. Temes, “A differential SC amplifier,” IEEE J. Solill‘-State Circ., vol. 22, pp. 104-106, Feb. 1987.
[20] Kaila G. Lamb, Steven J. Sanchez, and W. Timothy Holman, 'A low noise operational amplifier design using sub-threshold operation', Proc. of 40th Midwest symposium on circuits and systems, Sacramento, CA, 1997, pp.35--38..
[21] Jichun Zhang, Junwei Zhou,Andrew Mason, “Highly Adaptive Transducer Interface Circuit for Multiparameter Microsystems,” TRANSACTIONS ON CIRCUITS AND SYSTEMS I, VOL. 54, NO. 1, JAN 2007.
[22] E. Mackensen and C. Muller, “Implementation of reconfigurable microsensor interfaces utilizing FPAAs,” in Proc. IEEE Conf. Sensors, Oct. 2005, pp. 1064–1067..
[23] K. L. Kraver, M. R. Guthaus, T. D. Strong, P. L. Bird, G. S. Cha, W. Hoeld, and R. B. Brown, “A mixed-signal sensor interface microinstrument,”Sens. Actuat. A, vol. 91, pp. 266–277, 2001.
[24] Y-M Chi, Gert C-, et cl, 'Non-contact Low Power EEG/ECG Electrode for High Density Wearable Biopotential Sensor Networks', Body Sensor Networks, 2009.
[25] Wen-Sin Liew; Xiaodan Zou; Libin Yao; Yong Lian; , 'A 1-V 60-μW 16-channel interface chip for implantable neural recording,' Custom Integrated Circuits Conference, 2009. CICC '09. IEEE , vol., no., pp.507-510, 13-16 Sept. 2009.
[26] M. Chea, W. Liu, Z. Yang et al, “A 128-Channel 6mW Wireless Neural Recording IC with On-the-Fly Spike Sorting and UWB Transmitter,”ISSCC2008 Dig. Tech. Papers, pp. 146-147, Feb. 2008.
[27] M. Yin and M. Ghovanloo, “A Flexible Clockless 32-ch Simultaneous Wireless Neural Recording System with Adjustable Resolution,”ISSCC 2009 Dig. Tech. Papers, pp. 432-433, Feb. 2009.
[28] Enz, C.C.; Vittoz, E.A.; Krummenacher, F.; , 'A CMOS chopper amplifier,' Solid-State Circuits, IEEE Journal of , vol.22, no.3, pp. 335- 342, Jun 1987.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/62998-
dc.description.abstract於生物醫學應用與研究中,生物訊息的量化和分析是最為重要的。現代電子生物量測,一般是將生物訊息轉換為電訊號來進行量化與分析,然而,於此訊號轉換過程會受生物體所在環境的影響,使量測備受挑戰。近年來,拜科技進步之賜,大量的生物感測器和感應器整合到固態電路中,實現了CMOS生物醫學的SoC化,使生物醫學量測可以更微小與更低成本的方式進行。於此間,感測元件與電路系統間的介面電路設計扮演一個極重要的關鍵角色,因為它關係到是否能將生物訊號有效的讀取,甚而擴大感測範圍和靈敏度。本篇論文,提出了兩種適用於不同應用的單晶片CMOS生物訊號感測系統:一類適用於生物分子(Biomolecules)的訊息感測,另一種是主要用於生物電(Bio-potential)的訊號擷取。
首先,本文提出一個可重組式的感測器讀取介面電路,將各種感測器與感應器的信號擷取並傳至微控制器。該讀取電路具有相當高的可適性,可整合讀取諸如: 電容,電阻,電壓和電流等型態的感測器。並搭配可程式放大器來提高信號辨識能力,並擴大量測範圍。另外,本前端讀取電路採用偏移消除與非線性補償技術,使系統的感測能力更為靈敏。本可重組式感測器讀取介面電路實現於TSMC 0.35μm 2P4M的製程技術下,面積為1.6×0.9mm2,操作於1.8V電源下,功耗僅為2.57 μW。
其次,本文提出一個四通道低功率低雜訊之神經腦電圖監測系統。該監測系統具有能源擷取的功能與RF無線傳輸的能力。於前端電路的實現上採用低雜訊的設計,並配合雜訊消除技術,使讀取電路感應更加靈敏。另外,此系統更支援溼電極與非接觸式電極的量測。本神經腦電圖監測系統實現於 TSMC 0.18μm 1P6M的製程技術下,面積為2.87×2.37 mm2。其中前端四通道讀取電路操作於1V電源下,功耗僅為14μW。
zh_TW
dc.description.abstractQuantification and analysis of biological processes are of utmost importance for biomedical applications and investigations. However, it is challenging to convert the biological information into an electronic signal due to the difficulties of connecting an electronic device into a biological environment. In recent years, a great number of biosensors and transducers has been integrated with solid-state circuits, which makes realization of CMOS biomedical SoC possible, leading to miniature and low cost biomedical systems. The transducer interface circuitry plays a main role in such systems, extracting useful data from a variety of device types that can vary widely in range and sensitivity. In this thesis, two different applications within monolithic CMOS technology for bio-signals acquisition from sensors and transducers are presented: one is focusing on bio-signals converted from biosensors; the other is mainly for bio-potential signals acquisition.
To begin with, a reconfigurable sensor interface circuit that links to a variety of sensors and actuators to a microsystem controller is reported. The adaptive readout circuitry supports high-resolution signal acquisition from capacitive, resistive, voltage and current mode sensors with programmable control of gain and offset to match sensor range and sensitivity. The readout circuit accommodates offset cancellation technique and nonlinearity compensation. A 1.6 x 0.9 mm2 sensor interface circuitry is fabricated in TSMC 0.35μm 2P4M process and dissipates only 2.57μW power under 1.8V supply voltage.
Next, a low power, low noise 4-channel EEG neural recording system is reported. The system fully integrates the analog and digital blocks with an energy harvest system and a RF communication system. The frontend circuitry performs a low noise character with interface noise rejection and devises noise elimination. Dual mode is available for bio-potential signals acquisition from Ag/AgCl electrodes and non-contact electrodes, respectively. A 2.87 x 2.37 mm2 EEG neural recording system is fabricated in TSMC 0.18um 1P6M process. The 4 frontend channels consume only 14 μW power under 1V supply voltage.
en
dc.description.provenanceMade available in DSpace on 2021-06-16T16:18:08Z (GMT). No. of bitstreams: 1
ntu-102-R99943171-1.pdf: 5306434 bytes, checksum: 50aea3cb319b56e5bdde302cc20e6eb4 (MD5)
Previous issue date: 2013
en
dc.description.tableofcontentsChapter 1
Introduction .................................................................................................................. 1
1.1 Motivation ......................................................................................................................... 1
1.2 Thesis Organization ......................................................................................................... 3
Chapter 2
The Fundamentals of Bio-signals Acquisition in CMOS Circuit ............... 6
2.1 Introduce to Biomolecules and Biosensors ..................................................................... 6
2.2 Introduce to Biopotential Signals .................................................................................... 7
2.3 Noise in the CMOS Circuits............................................................................................. 9
2.3.1 Introduce to Noise ....................................................................................................... 9
2.3.1.1 White noise ....................................................................................................... 10
2.3.1.2 Flicker noise ..................................................................................................... 11
2.3.1.3 Offset noise ...................................................................................................... 12
2.3.2 Noise Can Cellation .................................................................................................. 13
2.3.2.1 Auto-Zero Cancellation .................................................................................... 13
2.3.2.2 Chopper Modulation ......................................................................................... 16
2.4 The Switch-capacitor Amplifiers .................................................................................. 20
2.5 The Amplifiers in the Frontend. ................................................................................... 24
2.5.1 Important OTA Configuration ............................................................................. 24
2.5.2 Introduce to Sub-threshold Operation .................................................................. 26
Chapter 3
A Low Power Reconfigurable Sensors Readout Circuit for an Implantable Micro-sensors SoC System ............................................................... 30
3.1 Introduction .................................................................................................................... 30
3.2 Introduce to biosensors .................................................................................................. 33
3.2.1 Glucose Sensor .......................................................................................................... 34
3.2.2 Protein Sensor ........................................................................................................... 35
3.2.3 Temperature Senor .................................................................................................... 36
3.2.4 pH sensor
................................................................................................................... 37
3.3 Introduce to Reconfigurable Sensors Readout Circuit ................................................ 38
3.4 Introduce to Correlated Double Sampling (CDS) ........................................................ 42
3.4.1 The gain and offset compensation CDS configuration .............................................. 43
3.4.2 The predictive CDS configuration ............................................................................. 46
3.5 Monolithic Implementations .......................................................................................... 47
3.5.1 Amplifier design ........................................................................................................ 47
3.5.2 Reconfigurable Readout circuit with CDS ................................................................ 49
3.5.3 Non-ideal Effect on CMOS Switches ........................................................................ 54
3.6 Simulation .................................................................................................................. 58
3.7 Layouts & chip photo ..................................................................................................... 68
3.8 Measurement results ...................................................................................................... 70
3.9 Summary .................................................................................................................... 76
Chapter 4
A Self-powered Wireless 4-channel EEG Neural Recording SoC with Non-contact Electrodes Sensing ................................................................................ 78
4.1 Introduction .................................................................................................................... 78
4.2 Introduce to Electrodes .................................................................................................. 79
4.2.1 Wet electrodes ........................................................................................................... 80
4.2.2 Dry electrodes ........................................................................................................... 81
4.2.3 Non-contact electrodes .............................................................................................. 81
4.3 Monolithic implementation ............................................................................................ 82
4.3.1 System planning for 4-channel EEG system
.............................................................. 82
4.3.2 Amplifier design ........................................................................................................ 86
4.3.3 The EEG Neural Recording Frontend ....................................................................... 87
4.3.4 The Electrode Interface for Non-contact Sensing ...................................................... 94
4.4 Simulation .................................................................................................................. 96
4.5 Layouts & chip photo ................................................................................................... 105
4.6 Measurement Results ................................................................................................... 108
4.7 Summary ..................................................................................................................
110
Chapter 5
Conclusion .................................................................................................................. 112
Appendix ..............................................................................................................117
Reference ................................................................................................................. 118
dc.language.isoen
dc.subject低功耗放大器zh_TW
dc.subject生物訊號擷取電路zh_TW
dc.subject多重參數感應器介面電路zh_TW
dc.subject神經腦電圖監測系統zh_TW
dc.subject開關電容放大器zh_TW
dc.subjectMultiparameter Sensors Interfaceen
dc.subjectEEG Neural Recording Systemen
dc.subjectSwitched Capacitor Amplifieren
dc.subjectBio-signal Acquisition Circuitsen
dc.subjectLow Power Amplifier.en
dc.title適用於生醫應用之生物訊號擷取單晶前端電路zh_TW
dc.titleMonolithic Bio-signal Acquisition Frontend Circuits for Biomedical Applicationsen
dc.typeThesis
dc.date.schoolyear101-1
dc.description.degree碩士
dc.contributor.oralexamcommittee孟慶宗(Ching-Tzung Meng),孫台平(Tai-Ping Sun),林佑昇(Yu-Sheng Lin),游世安(Shih-An Yu)
dc.subject.keyword生物訊號擷取電路,多重參數感應器介面電路,神經腦電圖監測系統,開關電容放大器,低功耗放大器,zh_TW
dc.subject.keywordBio-signal Acquisition Circuits,Multiparameter Sensors Interface,EEG Neural Recording System,Switched Capacitor Amplifier,Low Power Amplifier.,en
dc.relation.page121
dc.rights.note有償授權
dc.date.accepted2013-02-04
dc.contributor.author-college電機資訊學院zh_TW
dc.contributor.author-dept電子工程學研究所zh_TW
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