Sanei / Hassani Singular Spectrum Analysis of Biomedical Signals

Erscheinungsjahr 2015
ISBN: 978-1-4665-8928-5
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 274 Seiten

This book focuses on singular spectrum analysis (SSA), a pattern recognition method, and its bivariate, multivariate, and robust variants. SSA can be applied to the detection of abnormalities in periodic biosignals, such as ECG, oxygen levels, arterial pressure, EEGs, and more. This book describes signal source separation, extraction, decomposition, and factorization in the context of biomedical signals.

Autoren/Hrsg.

Sanei, Saeid

Hassani, Hossein

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Epidemiologie, Medizinische Statistik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik

Inhaltsverzeichnis

Physiological, Anatomical, Functional, and Biological Processes In Vivo

Metabolic and Biochemical Processes

Event Related Brain Activities

Movement Related Cortical Activities

Muscular Potentials

Heart and Long Abnormalities and Sounds

Other Biological Activities and Behaviours

Digital Signals and Images in Biomedicine

Trends and Their Statistical Properties

Linearity and Chaos

Stationarity

Electroencephalography and Magnetoencephalography; Characteristics and Properties

Electromyography

Functional Magnetic Resonance Imaging

Spike Sequences in Biometrics

Cyclostationarity

Digital Models of Physiological Systems

Mathematical Model

Linear and Nonlinear systems

Constrained Models

Hybrid Systems

Modelling, Decomposition, Detection and Reconstruction

Spectral-Subtractive Methods

Filtering Method and Noise Removal Techniques

Statistical Model Based Technique

Sub-space Approaches

Blind Source Separation

Tensor Factorization

Singular Spectrum Analysis

Univariate SSA

Multivariate SSA

Change Point Detection

Missing Values and Data Inpainting

2-D SSA

SSA of Biomedical signal Processing

Subspace Decomposition and Classification

SSA and Its Application to Extraction of Cyclic Signals

Constrained Blind Source Separation of Single Channel Data

Detection of Anomalies and Abnormalities

Identification and Characterization of Trends and Evolutions

Correlated Trends Prediction of Future Events

SSA based Image Processing Technique

Algorithm Development

Functional MRI Analysis

Other Applications

Hybrid Systems Using SSA

SSA as a Filtering Method

Cascaded Adaptive Filters

SSA-Local Linear Neuro-Fuzzy Model

Appendix: Linear Algebra: An Overview