Thesis (Ph. D.)--University of Washington, 2006. / Vita. Includes bibliographical references (leaves 153-157).

Diss. (sammanfattning) Umeå : Umeå universitet, 2007. / Härtill 5 uppsatser.

Thesis (M.Eng.). / Written for the Dept. of Biomedical Engineering. Title from title page of PDF (viewed 2008/05/13). Includes bibliographical references.

Yao Jun. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2001. / Includes bibliographical references. / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Mode of access: World Wide Web. / Abstracts in English and Chinese.

by Fan Kai Leung. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1993. / Includes bibliographical references (leaves [87-96]). / Abstract / Acknowledgement / Chapter Chapter 1 --- Introduction / Chapter 1.0 --- Foreword / Chapter 1.1 --- Project Objective / Chapter 1.2 --- Historical Background / Chapter 1.3 --- The properties of Radial Pulse Wave-An Engineering View / Chapter 1.4 --- The development in RPW acquisition and research-An Overview / Chapter 1.5 --- Problems to be solved for RPW data acquisition system / Chapter 1.6 --- The contribution of this project / Chapter Chapter 2 --- System Realisation / Chapter 2.0 --- Foreword / Chapter 2.1 --- System Development-An Overview / Chapter Chapter 3 --- Signal Preprocessing Unit / Chapter 3.0 --- Foreword / Chapter 3.1 --- Earlier Methods for offset Cancellation / Chapter 3.2 --- Feedback control of the offset and d.c. transient cancellation / Chapter 3.3 --- The level shifting circuit / Chapter 3.4 --- Amplifier / Chapter 3.6 --- The 50Hz notch filter / Chapter 3.7 --- The 4th order low pass filter / Chapter 3.8 --- Circuit for controlling valves and pump / Chapter Chapter 4 --- Signal Processing for RPW Acquisition / Chapter 4.0 --- Foreword / Chapter 4.1 --- Artefact and signal noise / Motion artefact / Respiratory Artefact / Base line shift due to tissue displacement / Electromagnetic Interference and circuit noise / Chapter 4.2 --- Artefact Correction by the Switch Capacitive Device(MF-6) / Operating principle / Result and Discussion / Chapter 4.3 --- Artefact Correction by Recursive Moving Average(RMA) / The RMA Operation / Software Implementation of RMA / Chapter 4.4 --- Further Improvement of the RMA baseline estimator / Chapter 4.5 --- Signal Noise Suppression by Non-linear filtering / Chapter 4.6 --- An arithmetic cycle detector for RPW and ECG / Chapter Chapter 5 --- The Software for the DAS / Chapter 5.0 --- Foreword / Chapter 5.1 --- The present DAS software / Chapter 5.2 --- The software design / Chapter 5.3 --- Important points about the software / Signal input / Waveform display and smooth scrolling / Dynamic display area allocation / The software FIFO data buffer / Chapter Chapter 6 --- Recapitulation and Topics for Further Investigation / Chapter 6.0 --- Foreword / Chapter 6.1 --- Recapitulations / Objective / Difficulties / System Realisation / Signal Preprocessing Unit / Signal Processing / The software / Chapter 6.2 --- Direction for further investigation / Improvement to the DAS / Data analysis and modelling research / Appendix A The Comparasion of the RMA and SMA Characteristics / Appendix B List of Publications

by Ma Wing-Kin. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1997. / Includes bibliographical references (leaves 121-124). / Chapter 1 --- Introduction to Otoacoustic Emissions --- p.1 / Chapter 1.1 --- Introduction --- p.1 / Chapter 1.2 --- Clinical Significance of the OAEs --- p.2 / Chapter 1.3 --- Classes of OAEs --- p.3 / Chapter 1.4 --- The Distortion Product OAEs --- p.4 / Chapter 1.4.1 --- Measurement of DPOAEs --- p.5 / Chapter 1.4.2 --- Some Properties of DPOAEs --- p.8 / Chapter 1.4.3 --- Noise Reduction of DPOAEs --- p.8 / Chapter 1.5 --- Goal of this work and Organization of the Thesis --- p.9 / Chapter 2 --- Review to some Topics in Narrowband Signal Estimation --- p.11 / Chapter 2.1 --- Fourier Transforms --- p.12 / Chapter 2.2 --- Periodogram ´ؤ Classical Spectrum Estimation Method --- p.15 / Chapter 2.2.1 --- Signal-to-Noise Ratios and Equivalent Noise Bandwidth --- p.17 / Chapter 2.2.2 --- Scalloping --- p.18 / Chapter 2.3 --- Maximum Likelihood Estimation --- p.19 / Chapter 2.3.1 --- Finding of the ML Estimator --- p.19 / Chapter 2.3.2 --- Properties of the ML Estimator --- p.21 / Chapter 3 --- Review to Adaptive Notch/Bandpass Filter --- p.23 / Chapter 3.1 --- Introduction --- p.23 / Chapter 3.2 --- Filter Structure --- p.24 / Chapter 3.3 --- Adaptation Algorithms --- p.25 / Chapter 3.3.1 --- Least Squares Method --- p.25 / Chapter 3.3.2 --- Least-Mean-Squares Algorithm --- p.27 / Chapter 3.3.3 --- Recursive-Least-Squares Algorithm --- p.28 / Chapter 3.4 --- LMS ANBF Versus RLS ANBF --- p.31 / Chapter 3.5 --- the IIR filter Versus ANBF --- p.31 / Chapter 4 --- Fast RLS Adaptive Notch/Bandpass Filter --- p.33 / Chapter 4.1 --- Motivation --- p.33 / Chapter 4.2 --- Theoretical Analysis of Sample Autocorrelation Matrix --- p.34 / Chapter 4.2.1 --- Solution of Φ (n) --- p.34 / Chapter 4.2.2 --- Approximation of Φ (n) --- p.35 / Chapter 4.3 --- Fast RLS ANBF Algorithm --- p.37 / Chapter 4.4 --- Performance Study --- p.39 / Chapter 4.4.1 --- Relationship to LMS ANBF and Bandwidth Evaluation . --- p.39 / Chapter 4.4.2 --- Estimation Error of Tap Weights --- p.40 / Chapter 4.4.3 --- Residual Noise Power of Bandpass Output --- p.42 / Chapter 4.5 --- Simulation Examples --- p.43 / Chapter 4.5.1 --- Estimation of Single Sinusoid in Gaussian White Noise . --- p.43 / Chapter 4.5.2 --- Comparing the Performance of IIR Filter and ANBFs . . --- p.44 / Chapter 4.5.3 --- Harmonic Signal Enhancement --- p.45 / Chapter 4.5.4 --- Cancelling 50/60Hz Interference in ECG signal --- p.46 / Chapter 4.6 --- Simulation Results of Performance Study --- p.52 / Chapter 4.6.1 --- Bandwidth --- p.52 / Chapter 4.6.2 --- Estimation Errors --- p.53 / Chapter 4.7 --- Concluding Summary --- p.55 / Chapter 4.8 --- Appendix A: Derivation of Ts --- p.56 / Chapter 4.9 --- Appendix B: Derivation of XT(n)Λ(n)ΛT(n)X(n) --- p.56 / Chapter 5 --- Investigation of the Performance of two Conventional DPOAE Estimation Methods --- p.58 / Chapter 5.1 --- Motivation --- p.58 / Chapter 5.2 --- The DPOAE Signal Model --- p.59 / Chapter 5.3 --- Preliminaries to the Conventional Methods --- p.60 / Chapter 5.3.1 --- Conventional Method 1: Constrained Stimulus Generation --- p.60 / Chapter 5.3.2 --- Conventional Method 2: Windowing --- p.61 / Chapter 5.4 --- Performance Comparison --- p.63 / Chapter 5.4.1 --- Sidelobe Level Reduction --- p.63 / Chapter 5.4.2 --- Estimation Accuracy --- p.65 / Chapter 5.4.3 --- Noise Floor Level --- p.67 / Chapter 5.4.4 --- Additional Loss by Scalloping --- p.68 / Chapter 5.5 --- Simulation Study --- p.69 / Chapter 5.5.1 --- Sidelobe Suppressions of the Windows --- p.69 / Chapter 5.5.2 --- Mean Level Estimation --- p.70 / Chapter 5.5.3 --- Mean Squared Error Analysis --- p.71 / Chapter 5.6 --- Concluding Summary --- p.75 / Chapter 5.7 --- Discussion --- p.75 / Chapter 5.8 --- Appendix A: Cramer-Rao Bound of the DPOAE Level Estimation --- p.76 / Chapter 6 --- Theoretical Considerations of Maximum Likelihood Estimation for the DPOAEs --- p.77 / Chapter 6.1 --- Motivation --- p.77 / Chapter 6.2 --- Finding of the MLEs --- p.78 / Chapter 6.2.1 --- First Form: Joint Estimation of DPOAE and Artifact Pa- rameter --- p.79 / Chapter 6.2.2 --- Second Form: Artifact Cancellation --- p.80 / Chapter 6.3 --- Relationship of CM1 to MLE --- p.81 / Chapter 6.4 --- Approximating the MLE --- p.82 / Chapter 6.5 --- Concluding Summary --- p.84 / Chapter 6.6 --- Appendix A: Equivalent Forms for the Minimum Least Squares Error --- p.85 / Chapter 7 --- Optimum Estimator Structure and Artifact Cancellation Ap- proaches for the DPOAEs --- p.87 / Chapter 7.1 --- Motivation --- p.87 / Chapter 7.2 --- The Optimum Estimator Structure --- p.88 / Chapter 7.3 --- References and Frequency Offset Effect --- p.89 / Chapter 7.4 --- Artifact Canceling Algorithms --- p.92 / Chapter 7.4.1 --- Least-Squares Canceler --- p.93 / Chapter 7.4.2 --- Windowed-Fourier-Transform Canceler --- p.93 / Chapter 7.4.3 --- FRLS Adaptive Canceler --- p.95 / Chapter 7.5 --- Time-domain Noise Rejection --- p.97 / Chapter 7.6 --- Regional Periodogram --- p.98 / Chapter 7.7 --- Experimental Results --- p.99 / Chapter 7.7.1 --- Artifact Cancellation via External Reference --- p.99 / Chapter 7.7.2 --- Artifact Cancellation via Internal Reference --- p.99 / Chapter 7.7.3 --- Artifact Cancellation in presence of Transient Noise --- p.101 / Chapter 7.7.4 --- Illustrative Example: DPgrams --- p.102 / Chapter 7.8 --- Conclusion and Discussion --- p.111 / Chapter 7.9 --- Appendix A: Derivation of the Parabolic Interpolation Method . --- p.113 / Chapter 7.10 --- Appendix B: Derivation of Weighted-Least-Squares Canceler . . --- p.114 / Chapter 8 --- Conclusions and Future Research Directions --- p.118 / Chapter 8.1 --- Conclusions --- p.118 / Chapter 8.2 --- Future Research Directions --- p.119 / Bibliography --- p.121

Xiang Guoliang. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2001. / Includes bibliographical references (leaves 51-53). / Abstracts in English and Chinese. / Acknowledgement --- p.1 / Abstract --- p.6 / Chapter 1 --- Introduction --- p.9 / Chapter 2 --- The Pulse Detection Sensor --- p.14 / Chapter 2.1 --- Pulse Diagnosis in Traditional Chinese Medicine --- p.14 / Chapter 2.2 --- The Pulse Detection Sensor --- p.15 / Chapter 2.2.1 --- The Sensor Design --- p.16 / Chapter 2.2.2 --- Pulse Signal Acquisition --- p.20 / Chapter 2.2.3 --- Experiment Results --- p.21 / Chapter 3 --- Internet Communication --- p.22 / Chapter 3.1 --- Network Basics --- p.22 / Chapter 3.2 --- Java --- p.24 / Chapter 3.3 --- Program Flow Diagram --- p.24 / Chapter 3.4 --- Results --- p.27 / Chapter 4 --- The Haptic Device --- p.28 / Chapter 4.1 --- Overview --- p.28 / Chapter 4.2 --- The Design --- p.29 / Chapter 4.2.1 --- The First Design --- p.31 / Chapter 4.2.2 --- The Prototype --- p.32 / Chapter 4.3 --- The Kinematics --- p.34 / Chapter 4.4 --- The Dynamics --- p.35 / Chapter 4.5 --- Reproducing Pulses by Position Control --- p.37 / Chapter 4.5.1 --- The Motor Controller --- p.37 / Chapter 4.5.2 --- Trajectory Following --- p.40 / Chapter 4.5.3 --- Experiment Results --- p.41 / Chapter 4.6 --- Reproducing Pulses by Force Control --- p.45 / Chapter 4.6.1 --- The Desired Forces --- p.46 / Chapter 4.6.2 --- The Force Controller Design --- p.46 / Chapter 4.6.3 --- Experiment Results --- p.47 / Chapter 5 --- Conclusions and Future works --- p.49 / Bibliography --- p.51

Ho, Wai-to Antony. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2001. / Includes bibliographical references (leaves 100-102). / Abstracts in English and Chinese. / Abstract --- p.I / Acknowledgement --- p.III / Table of Content --- p.IV / List of Figures --- p.VI / List of Tables --- p.X / List of Charts --- p.XI / Chapter CHAPTER 1: --- INTRODUCTION --- p.1 / Chapter 1.1 --- Biomedical sensing --- p.1 / Chapter 1.2 --- Bone Fracture --- p.2 / Chapter 1.3 --- Bone Fracture Treatment --- p.3 / Chapter 1.4 --- Objectives --- p.4 / Chapter CHAPTER 2: --- LITERATURE SURVEY --- p.5 / Chapter 2.1 --- Bone Structure --- p.5 / Chapter 2.2 --- Biomechanics in Bone Fracture --- p.10 / Chapter 2.3 --- Mathematical Model on Bending and Fracture --- p.11 / Chapter 2.4 --- Intramedullary nailing --- p.12 / Chapter 2.5 --- Reaming technique for intramedullary nailing --- p.14 / Chapter 2.6 --- More on reaming technique --- p.16 / Chapter 2.7 --- Existing pressure-monitoring system of reaming operation --- p.18 / Chapter 2.8 --- Biomedical sensation --- p.19 / Chapter CHAPTER 3: --- SYSTEM DESIGN: RE-ENGINEERING OF A BONE REAMING SYSTEM --- p.23 / Chapter 3.1 --- Mechanical Design-Bone Reaming Guide Rod --- p.23 / Chapter 3.2 --- Guide Rod --- p.24 / Chapter 3.2.1 --- Guide Rod: Head --- p.25 / Chapter 3.2.2 --- Guide Rod: Rod Body --- p.32 / Chapter 3.2.3 --- Guide Rod: Tail --- p.41 / Chapter 3.3 --- Connection System --- p.43 / Chapter 3.3.1 --- Connection System: Components --- p.44 / Chapter 3.3.2 --- Connection System: Connection Mechanism --- p.50 / Chapter 3.3.3 --- Connection System: Disconnection Mechanism --- p.53 / Chapter 3.4 --- Signal Transmission Mechanism --- p.54 / Chapter 3.5 --- Plastic Case --- p.57 / Chapter 3.6 --- Selection of Microsensor --- p.59 / Chapter CHAPTER 4: --- SIGNAL CONDITIONING & PROCESSING --- p.62 / Chapter 4.1 --- Signal Conditioning and Processing --- p.62 / Chapter 4.2 --- Voltage Regulation --- p.62 / Chapter 4.3 --- Instrumentation Amplification --- p.64 / Chapter 4.4 --- Noise Filtering --- p.66 / Chapter 4.5 --- Signal Processing Software --- p.66 / Chapter CHAPTER 5: --- EXPERIMENTAL SETUP --- p.68 / Chapter 5.1 --- Experiments --- p.68 / Chapter 5.2 --- MEMS Pressure Sensor --- p.68 / Chapter 5.3 --- Voltage Regulation Experiment --- p.70 / Chapter 5.4 --- Noise Filtering Experiment --- p.70 / Chapter 5.5 --- Rotating Bearing Signal Transmission System --- p.74 / Chapter 5.6 --- Guide Rod System Calibration Experiment --- p.76 / Chapter 5.6.1 --- Calibration Experiment-Stationary --- p.79 / Chapter 5.6.2 --- Calibration Experiment-Dynamic --- p.79 / Chapter CHAPTER 6: --- EXPERIMENTAL RESULTS --- p.80 / Chapter 6.1 --- Results --- p.80 / Chapter 6.2 --- MEMS Pressure Sensor --- p.80 / Chapter 6.3 --- Voltage Regulation Experiment --- p.81 / Chapter 6.4 --- Noise Filtering Experiment --- p.82 / Chapter 6.5 --- Rotating Bearing Signal Transmission System --- p.83 / Chapter 6.5.1 --- Non-rotating experiment --- p.83 / Chapter 6.5.2 --- Rotating experiment --- p.84 / Chapter 6.5.2.1 --- Rotating experiment -Unprocessed --- p.84 / Chapter 6.5.2.2 --- Rotating experiment -Noise Filtering --- p.86 / Chapter 6.6 --- Guide Rod System Calibration Experiment --- p.89 / Chapter 6.6.1 --- Calibration experiment-Stationary System Calibration --- p.89 / Chapter 6.6.2 --- Rotating experiment-Rotating Speed Calibration --- p.91 / Chapter 6.6.2.1 --- Influence of rotation motion on fluidic pressure --- p.91 / Chapter 6.6.2.2 --- Calibration Experiment --- p.94 / Chapter CHAPTER 7: --- CONCLUSION --- p.98 / Chapter CHAPTER 8: --- REFERENCE --- p.100 / Appendix --- p.103

Lu, Yan. / "October 2010." / Thesis (M.Phil.)--Chinese University of Hong Kong, 2011. / Includes bibliographical references (leaves 65-68). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.iv / Chapter 1. --- Introduction --- p.1 / Chapter 1.1 --- Electrocardiogram --- p.1 / Chapter 1.1.1 --- ECG Measurement --- p.2 / Chapter 1.1.2 --- Cardiac Conduction Pathway and ECG Morphology --- p.4 / Chapter 1.1.3 --- A Basic Clinical Approach to ECG Analysis --- p.6 / Chapter 1.2 --- Cardiovascular Disease --- p.7 / Chapter 1.3 --- Motivation --- p.9 / Chapter 1.4 --- Related Work --- p.10 / Chapter 1.5 --- Overview of Proposed Approach --- p.11 / Chapter 1.6 --- Thesis Outline --- p.13 / Chapter 2. --- ECG Signal Preprocessing --- p.14 / Chapter 2.1 --- ECG Model and Its Generalization --- p.14 / Chapter 2.1.1 --- ECG Dynamic Model --- p.14 / Chapter 2.1.2 --- Generalization of ECG Model --- p.15 / Chapter 2.2 --- Empirical Mode Decomposition --- p.17 / Chapter 2.3 --- Baseline Wander Removal --- p.20 / Chapter 2.3.1 --- Sources of Baseline Wander --- p.20 / Chapter 2.3.2 --- Baseline Wander Removal by EMD --- p.20 / Chapter 2.3.3 --- Experiments on Baseline Wander Removal --- p.21 / Chapter 2.4 --- ECG Denoising --- p.24 / Chapter 2.4.1 --- Introduction --- p.24 / Chapter 2.4.2 --- Instantaneous Frequency --- p.26 / Chapter 2.4.3 --- Problem of Direct ECG Denoising by EMD : --- p.28 / Chapter 2.4.4 --- Model-based Pre-filtering --- p.30 / Chapter 2.4.5 --- EMD Denoising Using Significance Test --- p.33 / Chapter 2.4.6 --- EMD Denoising using Instantaneous Frequency --- p.35 / Chapter 2.4.7 --- Experiments --- p.39 / Chapter 2.5 --- Chapter Summary --- p.44 / Chapter 3. --- ECG Classification --- p.45 / Chapter 3.1 --- Database --- p.45 / Chapter 3.2 --- Feature Extraction --- p.46 / Chapter 3.2.1 --- Feature Selection --- p.46 / Chapter 3.2.2 --- Feature Dimension Reduction by GDA --- p.48 / Chapter 3.3 --- Classification by Support Vector Machine --- p.50 / Chapter 3.4 --- Experiments --- p.53 / Chapter 3.4.1 --- Performance of Feature Reduction --- p.54 / Chapter 3.4.2 --- Performance of Classification --- p.57 / Chapter 3.4.3 --- Performance Comparison with Other Works --- p.60 / Chapter 3.5 --- Chapter Summary --- p.61 / Chapter 4. --- Conclusions --- p.63 / Reference --- p.65

Diss. (sammanfattning) Linköping : Univ., 2002. / Härtill 5 uppsatser.