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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/123456789/17322
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor呂學士
dc.contributor.authorYi-Lin Lien
dc.contributor.author李易霖zh_TW
dc.date.accessioned2021-06-08T00:06:46Z-
dc.date.copyright2013-08-17
dc.date.issued2013
dc.date.submitted2013-08-12
dc.identifier.citation[1] Taiwan Council for Economic Planning and Development, website, http://www.cepd.gov.tw/
[2] Emergency Medical Technician, website, http://www.emtresource.com/
[3] 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.
[4] Chun-Cheng Liu; Soon-Jyh Chang; Guan-Ying Huang; Ying-Zu Lin; , 'A 10-bit 50-MS/s SAR ADC With a Monotonic Capacitor Switching Procedure,' Solid-State Circuits, IEEE Journal of , vol.45, no.4, pp.731-740, April 2010
[5] Han-Wen Chang, 'A low power Analog-to-Digital Converter for ECG signal monitoring system,' Master thesis, Graduate Institute of Electronics Engineering, National Taiwan University.
[6] Kral, A.; Behbahani, F.; Abidi, A.A.; , 'RF-CMOS oscillators with switched tuning,' Custom Integrated Circuits Conference, 1998. Proceedings of the IEEE 1998 , vol., no., pp.555-558, 11-14 May 1998
[7] Li, Z.; O, K.K.; , 'A 1-V low phase noise multi-band CMOS voltage controlled oscillator with switched inductors and capacitors,' Radio Frequency Integrated Circuits (RFIC) Symposium, 2004. Digest of Papers. 2004 IEEE , vol., no., pp. 467- 470, 6-8 June 2004
[8] Min-Shin Wu, 'Low Power Receivers for MICS Band,' Master thesis, Graduate Institute of Electronics Engineering, National Taiwan University.
[9] Hyejung Kim, R.F. Yazicioglu, P. Merken, C. Van Hoof, and Hoi-Jun Yoo, “ECG signal compression and classification algorithm with quad level vector for ECG holter system,” IEEE Transactions on Information Technology in Biomedicine, vol. 14, no. 1, pp. 93-100, Jan. 2010
[10] Pan, Jiapu; Tompkins, Willis J.; , 'A Real-Time QRS Detection Algorithm,' Biomedical Engineering, IEEE Transactions on , vol.BME-32, no.3, pp.230-236, March 1985
[11] Xin Liu; Yuanjin Zheng; Myint Wai Phyu; Bin Zhao; Minkyu Je; Xiaojun Yuan; , 'Multiple Functional ECG Signal is Processing for Wearable Applications of Long-Term Cardiac Monitoring,' Biomedical Engineering, IEEE Transactions on , vol.58, no.2, pp.380-389, Feb. 2011
[12] D. C. Reddy, Biomedical Signal Processing—Principles and Techniques. New York: McGraw-Hill, 2005.
[13] MIT-BIH Arrhythmia DataBase (mitdb) website, http://www.physionet.org/
[14] CIC Training Manual, “Logic Synthesis with Design Compiler”, “Cell-Based IC Physical Design and Verification with SOC encounter”, “Design for Testability with TuboBIST-Memory, DFT Compiler and TetraMAX”, “Mixed-Signal IC Design Kit”.
[15] Kai-Hao Chang, 'A DWT-based DSP Circuit for ECG Signal Monitoring System Application,' Master thesis, Graduate Institute of Electronics Engineering, National Taiwan University.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/17322-
dc.description.abstractDue to the progress of living quality, people pay more attention to their health. Nowadays, many nations have emphasized on developing medical treatment including Taiwan. As the old age society becomes prevalent all over the world, future medical resources will be an urgent problem. With the rapidly developed technology we have, there are many ways we can do to help medical treatment progress. The semiconductor process has low cost, small volume and long-term use properties. Through the devices that are appended to the body, the health of patients and normal people can be monitored anytime. Meanwhile, they have the freedom to move. Thus, the living area of people that are old or suffered from chronic diseases can be expanded. Relatives and friends of them will have lower load to take care of them. Normal people will gain the security of their health. The medical human resources will be less consumed.
We use TSMC 1P6M 0.18 μm standard CMOS process to realize our designed wireless ECG signal sensing system. It has internal circuits including analog front end (AFE), analog-to-digital converter (ADC), digital signal processing (DSP) circuit and wireless transmitter. I am responsible of the DSP circuits. It retrieves the ECG signal from the ADC and extracts the feature of the signal. It will compress the signal, too. Afterward, it will examine whether the person has the symptom of arrhythmia. It will also transmit the data according to each circumstance. Other circuits are designed by seniors and schoolmates in our laboratory. Together, we build up the ECG system-on-chip (SOC).
In this work, we adopt universal asynchronous receiver/transmitter and transmitting module so we can connect with computers and other devices. Besides, we also use LabVIEW program to be a human-machine interface.
en
dc.description.provenanceMade available in DSpace on 2021-06-08T00:06:46Z (GMT). No. of bitstreams: 1
ntu-102-R00943049-1.pdf: 5328860 bytes, checksum: 8a8494c11d4879e3f3bf3fe9230fd1f8 (MD5)
Previous issue date: 2013
en
dc.description.tableofcontents口試委員會審定書 #
誌謝 i
中文摘要 ii
ABSTRACT iii
CONTENTS v
LIST OF FIGURES viii
LIST OF TABLES xi
Chapter 1 Introduction 1
1.1 Motivation 1
1.2 Organization 3
Chapter 2 ECG Signal and Fully Integrated SoC 4
2.1 ECG Signal Introduction 4
2.2 Arrhythmia Introduction 6
2.3 ECG SoC Architecture and Design Consideration 11
2.3.1 DC-DC Boost Converter 12
2.3.2 Low-dropout Regulator (LDO) 13
2.3.3 Analog Front End 15
2.3.4 SAR ADC 16
2.3.5 DSP Circuit 18
2.3.6 OOK Transmitter 19
2.3.7 OOK Receiver 21
Chapter 3 Algorithms for ECG Signal Processing 22
3.1 Preprocessing 23
3.1.1 Introduction 23
3.1.2 QLV Generation 24
3.2 Compression 28
3.2.1 Introduction 29
3.2.2 Skeleton 29
3.2.3 Delta Coding 30
3.2.4 Huffman Coding 31
3.3 Classification 32
3.3.1 Feature Extraction 33
3.3.2 Arrhythmia Detection 34
Chapter 4 ECG Signal Processing ASIC Design 36
4.1 QLV Implementation 36
4.2 Skeleton 39
4.3 Memory 40
4.4 Delta and Huffman Coding 43
4.5 Other Circuits 44
4.5.1 Clock Divider 44
4.5.2 Transmission 44
4.5.3 Packet Definition 47
Chapter 5 Hardware/Software Implementation and Chip Measurement 49
5.1 Digital Circuits Design Flow 49
5.1.1 Cell-based Design Flow 50
5.2 Verification and Simulation 57
5.2.1 MIT-BIH Database 57
5.2.2 Simulation Results 59
5.2.3 Layout 63
5.3 Software Human-machine Interface 65
5.3.1 Commercial USB Controller IC 65
5.3.2 LabVIEW Software Interface 66
5.4 Measurement 68
5.4.1 Die Photo and PCB Design 69
5.4.2 Environment Setup 70
5.4.3 Measurement Results 71
5.4.4 Summary 76
5.5 Conclusion 77
REFERENCE 79
dc.language.isoen
dc.title應用於生醫系統之心律不整偵測與心電信號壓縮電路zh_TW
dc.titleArrhythmia Detection and ECG Signal Compression Circuit for Biomedical Systemen
dc.typeThesis
dc.date.schoolyear101-2
dc.description.degree碩士
dc.contributor.oralexamcommittee黃榮堂,林佑昇,孫台平,孟慶宗
dc.subject.keyword心電圖,心律不整,心電信號壓縮,zh_TW
dc.subject.keywordECG,Arrhythmia,ECG Compression,en
dc.relation.page80
dc.rights.note未授權
dc.date.accepted2013-08-13
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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