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Singular Spectrum Analysis of Biomedical Signals

Saeid Sanei | Hossein Hassani
€235.60
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A01=Hossein Hassani
A01=Saeid Sanei
adaptive
Adaptive Filters
advanced signal separation in medicine
Age Group_Uncategorized
Age Group_Uncategorized
Analysing Genetics Data
Author_Hossein Hassani
Author_Saeid Sanei
automatic-update
biomedical signal processing
biometric identification techniques
Brain Computer Interfacing
braincomputer
Category1=Non-Fiction
Category=MBNS
Category=MQW
Category=PNFS
Category=THR
Category=TJK
Category=TQ
change
Change Point Detection
clinical event prediction
complex-valued time series
COP=United States
Delivery_Pre-order
EEG Signal
EMD Process
eq_bestseller
eq_isMigrated=0
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
filter
Fundus Images
Gait Recognition
Genomic Signal Processing
hankel
Hankel Matrix
HW Method
Input SNR
interface
Language_English
matrix
MLR
Noise Subspace
NREM Sleep
OSAHS
Output SNR
PA=Temporarily unavailable
physiological data analysis
Price_€100 and above
PS=Active
Rem Sleep
Retinal Images
Single Exponential Smoothing
Singular Spectrum Analysis
Sleep EEG
softlaunch
tensor decomposition methods
Time Series YN
trajectory
Trajectory Matrix
transform
Vessel Segmentation
wavelet

Product details

  • ISBN 9781466589278
  • Weight: 670g
  • Dimensions: 156 x 234mm
  • Publication Date: 22 Dec 2015
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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Description

Recent advancements in signal processing and computerised methods are expected to underpin the future progress of biomedical research and technology, particularly in measuring and assessing signals and images from the human body. This book focuses on singular spectrum analysis (SSA), an effective approach for single channel signal analysis, and its bivariate, multivariate, tensor based, complex-valued, quaternion-valued and robust variants.

SSA currently has numerous applications in detecting abnormalities in quasi-periodic biosignals, such as electrocardiograms, (ECGs or EKGs), oxygen levels, arterial pressure, and electroencephalograms (EEGs). Singular Spectrum Analysis of Biomedical Signals presents relatively newly applied concepts for biomedical applications of SSA, including:



  • Signal source separation, extraction, decomposition, and factorization


  • Physiological, biological, and biochemical signal processing


  • A new SSA grouping algorithm for filtering and noise reduction of genetics data


  • Prediction of various clinical events

The book introduces a new mathematical and signal processing technique for the decomposition of widely available single channel biomedical data. It also provides illustrations of new signal processing results in the form of signals, graphs, images, and tables to reinforce understanding of the related concepts.

Singular Spectrum Analysis of Biomedical Signals enhances current clinical knowledge and aids physicians in improving diagnosis, treatment and monitoring some clinical abnormalities. It also lays groundwork for progress in SSA by making suggestions for future research.
About Hossein Hassani | Saeid Sanei

Saeid Sanei, University of Surrey, Guildford, UK

Hossein Hassani, Bournemouth University, Dorset, UK

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