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研究生:侯人誠
研究生(外文):Jen-Cheng Hou
論文名稱:結合鼾聲偵測之智慧牙套系統數位電路
論文名稱(外文):Digital Circuit of Smart Oral Appliance with Snoring Sound Detection
指導教授:呂學士
指導教授(外文):Shey-Shi Lu
口試委員:孫台平彭盛裕楊燿州游世安
口試委員(外文):Tai-Ping SunSheng-Yu PengYao-Joe YangSHIH-AN YU
口試日期:2015-07-24
學位類別:碩士
校院名稱:國立臺灣大學
系所名稱:電子工程學研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2015
畢業學年度:103
語文別:英文
論文頁數:60
中文關鍵詞:鼾聲系統單晶片聲音分類
外文關鍵詞:Snoring SoundSystem-on-ChipSound Recognition
相關次數:
  • 被引用被引用:0
  • 點閱點閱:202
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  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
Sleep apnea is a disorder in which you have one or more pauses in breathing while you sleep. It is characterized by recurrent episodes of upper airway collapse during sleep. According to the statistics, about 4% of men and 2% of women have sleep apnea. Improvement of quality of sleep is getting important.
Sleep Apnea can be treated with surgery, CPAP or oral appliance. Oral appliance is more acceptable because it is cheaper and easy to use. In this work, we present a Smart Oral Appliance System (SOAS) which can monitor physiological signals and thus be helpful for treatment and diagnosis of sleep apnea.
The SOAS is embedded with sensors and circuits. We use UMC 1P6M 0.18 μm standard CMOS process to realize our designed signal sensing system. It has internal circuits including analog front end (AFE), analog-to-digital converter (ADC), digital signal processing (DSP) circuit, power management unit (PMU) circuit and wireless transmitter. I am responsible of the digital circuits. In addition to monitoring physiological signals, it includes a snore sound and apnea detector given that snoring is a major sign of apnea. Besides, all the information will be written to EEPROM to help diagnosis and treatment. Other circuits are designed by seniors and schoolmates in our laboratory. Together, we build up the SOAS system-on-chip (SOC).
We also use STM32F4 Discovery board and Matlab to implement a more robust snore sound detection based on Support Vector Machine (SVM) and sound recognition techniques.

中文摘要 i
ABSTRACT ii
CONTENTS iii
LIST OF FIGURES vi
LIST OF TABLES ix
Chapter 1 Introduction 1
1.1 Motivation 1
1.2 Thesis Organization 3
Chapter 2 Snoring Sound Signal and Fully Integrated SoC 5
2.1 Introduction of Snoring Sound Signal 5
2.2 Correlation of Snoring and Sleep Apnea 7
2.3 Smart Oral Appliance SoC Architecture and Design Consideration 8
2.3.1 Power Management System 11
2.3.2 Low Drop-out Regulator 12
2.3.3 Analog Front End 13
2.3.4 SAR ADC 14
2.3.5 DSP and Control Circuit 14
2.3.6 OOK Transmitter 17
2.3.7 OOK Receiver 19
2.3.8 Tactile Sensing Array 20
Chapter 3 Algorithms for Snoring Sound Detection 22
3.1 Preprocessing 23
3.1.1 Voiced Activity Detection 23
3.1.2 Zero Crossing Rate 23
3.2 Feature Extraction 25
3.2.1 Mel-Scale 25
3.2.2 Mel-Frequency Cepstral Coefficients 26
3.3 Classification 28
3.3.1 Support Vector Machine (SVM) 28
3.3.2 Kernel Function 30
Chapter 4 DSP and Controls of the ASIC Design 31
4.1 Moving Average Filter 31
4.2 On-Chip Snore & Apnea Detector 32
4.3 I2C Controller 33
4.4 Other Circuits 34
4.4.1 Clock Divider 34
4.4.2 Transmission 34
4.4.3 Time-Stamp Generator 37
4.4.4 Packet Definition 37
Chapter 5 Hardware/Software Implementation 40
5.1 Digital Circuits Design Flow 40
5.1.1 Cell-based Design Flow 41
5.1.2 Layout 48
5.2 Snoring Sound Recognition with SVM on Matlab 49
5.3 Classifier Implementation on STM32F4 Discovery Board 50
5.3.1 The Merging Market of Embedded System Devices 50
5.3.2 Introduction of STM32F4 Discovery Board 51
5.3.3 Cortex Microcontroller Software Interface Standard (CMSIS) 52
5.3.4 Implementation and Results 52
5.4 Conclusion 53
APPENDIX 55
REFERENCE 58


[1]T. Young, M. Palta, J. Dempsey, J. Skatrud, S. Weber, and S. Badr, “The occurrence of sleep disordered breathing among middle-aged adults,” N. Engl. J. Med., vol. 328, pp. 1230-1235, 1993

[2]D. Pevernagie, R.M. Aarts, M.D Meyer, “The acoustics of snoring”, Sleep Medicine Reviews, 14, pp. 131-144, 2010

[3]U.R. Abeyratne, C.K.K. Patabandi and K. Puvanendran, "Pitch-jitter Analysis of Snoring Sounds for the Diagnosis of Sleep Apnea”, Proceedings of the 23rd Annual EMBS International Conference, 25-28 October 2001.

[4]J. Sol-Soler, R. JanC, J.A. Fiz, J. Morera, "Spectral Envelope Analysis in Snoring Signals from Simple Snorers and patients with Obstructive Sleep Apnea," Proceedings of the 25th Annual EMBS International Conference, 17-21 September 2003.

[5]J.A. Fiz, J. Abad, R. Jané, M. Riera, M.A. Mañanas, P. Caminali, "Acoustic analysis of snoring sound in patients with simple snoring and obstructive sleep apnoea," European Respiratory Journal, pp. 2365- 2370, 1996.

[6]Chun-Yu Chen, "Wireless Charging and Power Management System for CMOS Biomedical SoCs," Master thesis, Graduate Institute of Electronics Engineering, National Taiwan University.

[7]Wei-Che Hsieh, "Analog Front End Circuit for Biomedical System" Master thesis, Graduate Institute of Electronics Engineering, National Taiwan University.

[8]Wei-Chen Li, " Analog-to-Digital Converter for Biomedical System" Master thesis, Graduate Institute of Electronics Engineering, National Taiwan University.

[9]Lin-Jing Tsai, "A Low Power Transceiver for Wireless Sensor Nodes and Biomedical Systems" Master thesis, Graduate Institute of Electronics Engineering, National Taiwan University.

[10]Ming-Yuan Cheng, "Development of Flexible Tactile Sensing Array Using MEMS-based Technologies” Doctoral thesis, Graduate Institute of Mechanical Engineering, National Taiwan University.

[11]Roger Jang, Audio Signal Processing and Recognition website, http://mirlab.org/jang/books/audiosignalprocessing/index.asp

[12]Sheng-Yu Peng, B.A. Minch, P. Hasler, "Analog VLSI Implementation of Support Vector Machine Learning and Classification”, IEEE International Symposium on Circuits and Systems (ISCAS), pp.860-863, 2008

[13]G. Gorden, Tutorials of Support Vector Machines and Kernel Methods, 2004

[14]S. Park, “Principles of Sigma-Delta Modulation for Analog-to-Digital Converters”

[15]NCKU CSIE Wiki Website, http://wiki.csie.ncku.edu.tw/embedded

[16]Jian-Yu Hsieh, Po-Hung Kuo, Yi-Chun Huang, Yu-Jie Huang, Rong-Da Tsai, Tao Wang, Hung-Wei Chiu, Yao-Hung Wang, and Shey-Shi Lu, “A Remotely-Controlled Locomotive IC Driven by Electrolytic Bubbles and Wireless Powering”, Solid-State Circuits Conference Digest of Technical Papers (ISSCC), pp. 322-323, 2014

[17]M. Seyedi, “A Survey on Intrabody Communications for Body Area Network Applications”, IEEE Transactions on Biomedical Engineering, vol. 60, pp. 2067-2079, 2013


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