在論文中，我們提出一個可以由行動裝置同時監測心電圖與腦波的系統，大致上可以分成三個部分，分別為無線量測心電圖、腦波以及在行動裝置上監測訊號並記錄下來。

在心電圖方面，我們設計一個混合訊號晶片並根據這個晶片實作出一個心電圖監控平台。這個晶片包括類比放大器、類比數位轉換器、數位信號處理器以及無線收發機，而在論文中我們集中描述數位信號處理器的部分。數位信號處理器大致由微控制器、特徵擷取電路以及其餘輔助電路所組成。微控制器主要負責控制整個系統的參數，包括取樣頻率、調變頻率的微調以及特徵擷取電路的濾波係數等等。而為了降低無線傳輸的功耗，因此加上擷取R-R區間的電路來降低傳輸的資料量。這個無線感測晶片是以TSMC 0.18µm的製程所實現，在操作電壓0.8伏特以及500000赫茲的操作環境下，數位電路的功率消耗為57.84微瓦。而我們也根據這晶片實作出一個感測原型，其面積為28 x 28 平方毫米、功率消耗為26.4毫瓦，若是使用850毫安培小時的電池可以持續操作四天。

在腦波方面，我們提出一個可攜式的量測原型，其中包含放大器、濾波器、類比數位轉換器、數位控制電路以及藍芽模組。此原型可以量測alpha波以及beta波。而此原型在3.3伏特的操作電壓環境下，其功耗為172.3毫瓦。此外，我們也提出一個手機軟體可以透過通用序列匯流排及藍芽將心電圖及腦波接收到行動裝置上並同時展示這兩個訊號。

1 Introduction 1
1.1 Backgrounds . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.2 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.3 Literature Review . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
1.4 Biomedical Signals and Processing . . . . . . . . . . . . . . . . . . . . . . . 4
1.4.1 Electrocardiography . . . . . . . . . . . . . . . . . . . . . . . . . . 4
1.4.2 Electroencephalography . . . . . . . . . . . . . . . . . . . . . . . . 6
1.4.3 Discrete Wavelet Transform . . . . . . . . . . . . . . . . . . . . . . 7
1.5 Main Contributions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
1.6 Organization of the Thesis . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
2 System on Chip for Biomedical Signal Measuring, Recording and Processing 13
2.1 Preview of SoC-based Telecare System . . . . . . . . . . . . . . . . . . . . 13
2.1.1 Analog Frond-end . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
2.1.2 Analog to Digital Converter . . . . . . . . . . . . . . . . . . . . . . 14
2.1.3 Wireless Transceiver . . . . . . . . . . . . . . . . . . . . . . . . . . 15
2.2 Digital Core based on Micro-controller 8051 . . . . . . . . . . . . . . . . . . 15
2.2.1 Hardware Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
2.2.2 A Configurable Wavelet-based Processor for Feature Extraction . . . 21
2.3 System Specification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
3 Proposed Prototype Implementation for Heart-Brain Information 31
3.1 SoC-based ECG Measuring Prototype . . . . . . . . . . . . . . . . . . . . . 32
3.1.1 Sensor Node . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
3.1.2 Monitor Node . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33
3.2 Portable EEG Measuring Prototype . . . . . . . . . . . . . . . . . . . . . . . 35
3.2.1 Analog frond-end Circuit . . . . . . . . . . . . . . . . . . . . . . . . 36
3.2.2 ADC and Digital Control Unit . . . . . . . . . . . . . . . . . . . . . 38
3.2.3 Wireless Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
3.2.4 Finished Prototype and Specification . . . . . . . . . . . . . . . . . 41
3.3 Mobile Hub . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42
3.3.1 Android Accessory Development Kit and Universal Serial Bus . . . . 43
3.3.2 Integrated Application Programming Interface . . . . . . . . . . . . 44
4 Implementation and Integration result of Wearable Platform 47
4.1 Mixed-Signal System-on-Chip Integration and verification Flow . . . . . . . 47
4.2 Heart-Brain Information System Result . . . . . . . . . . . . . . . . . . . . 49
4.2.1 ASIC Implementation Results . . . . . . . . . . . . . . . . . . . . . 49
4.2.2 Digital Core of System-on-Chip Simulation and Measurement . . . . 51
4.2.3 EEG Monitoring System Implementation Result . . . . . . . . . . . 54
4.2.4 Integrated Interface Implementation Result . . . . . . . . . . . . . . 57
4.3 System Performance and Comparison . . . . . . . . . . . . . . . . . . . . . 58
5 Future Work and Conclusion 61
5.1 Future Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
5.2 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61

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