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· 분류 : 외국도서 > 의학 > 생물통계학
· ISBN : 9781466589278
· 쪽수 : 260쪽
· 출판일 : 2015-12-22
목차
Introduction
Physiological, Biological, and Biochemical Processes
Major Topics in Physiological and Biological Signal Processing
Biological Signals and Systems
Decomposition of Signals and Extraction of the Sources of Interest
Quantification of Evolution and Prediction of Future Trends
Data and Trends; Rhythmic, Noisy, or Chaotic?
Generation of Surrogate Data
Concluding Remarks
Bibliography
Singular Spectrum Analysis
Introduction
Univariate SSA
Multivariate SSA
Optimal Values of L and r in MSSA
Extensions of SSA
Bibliography
SSA Application to Sleep Scoring
Introduction
Stages of Sleep
The Influence of Circadian Rhythms
Sleep Deprivation
Psychological Effects
Detection and Monitoring of Brain Abnormalities during Sleep by EEG Analysis
SSA for Sleep Scoring
Concluding Remarks
Bibliography
Adaptive SSA and Its Application to Biomedical Source Separation
Introduction
Adaptive Line Enhancement
SSA-Based ALE and Its Application to Separation of ECG from Recorded EMG
Incorporating Sparsity Constraint
Comparing Basic ALE and SSA-Based ALE
Application of Sparsity Constraint
An Adaptive SSA-Based System for Classification of Narrow Frequency Band Signals
Concluding Remarks
Bibliography
Applications to Biometric Identification and Recognition
Introduction
Introduction to Gait Recognition
Model Free Methods
Combination of Gait with Other Biometrics
Gait Assessment
Gait Analysis for Clinical Rehabilitation
Assessing Limb Function for Stroke Patients
SSA Application for Recognition and Characterisation of Stroke
Use of Multivariate SSA for Joint Analysis of 3D Trajectories
Gait Analysis Using Ear-Worn Sensor Data
Concluding Remarks
Bibliography
Complex-Valued SSA for Detection of Event Related Potentials from EEG
Brief Literature
Complex-Valued Matrix Variables Z and Z*
Augmented Complex Statistics
Analytic Signals
Complex-Valued Derivatives
Generalized Complex-Valued Matrix Derivatives
Augmented Complex-Valued Matrix Variables
Singular Spectrum Analysis of P300 for Classification
Experimental Results
Some Concluding Remarks
Extension to Hypercomplex Domain
Conclusion
Bibliography
SSA Change Point Detection and Eye Fundus Image Analysis
Ocular Fundus Abnormalities
Ocular Fundus Images
Diabetic Retinopathy Images
Analysis of Fundus Images and Detection of Retinopathy Features
Concluding Remarks
Bibliography
Prediction of Medical and Physiological Trends
Conventional Approaches for Time Series Prediction
SSA Application for Prediction
How SSA Is Used in Prediction
Application of SSA-Based Prediction to Real Biomedical Trends
Concluding Remarks
Bibliography
SSA Application on Genetic Studies
Genomic Signal Processing
Application
Singular Spectrum Analysis and Colonial Theory
Signal Extraction and Filtering
SSA Based on Minimum Variance
SSA Combined with AR Model
Application of Two Dimensional SSA
Eigenvalues Identification in SSA Signal Extraction
Concluding Remarks
Bibliography
Conclusions and Suggestions for Future Research















