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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.
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Emerging Trends in Electrical, Electronic and Communications Engineering - Proceedings of the First International Conference on Electrical, Electronic and Communications Engineering (ELECOM 2016), Bagatelle, Mauritius, November 25 -27, 2016 (Paperback, Softcover reprint of the original 1st ed. 2017)
Peter Fleming, Nalinaksh Vyas, Saeid Sanei, Kalyanmoy Deb
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R5,785
Discovery Miles 57 850
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Ships in 10 - 15 working days
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The book reports on advanced theories and methods in two related
engineering fields: electrical and electronic engineering, and
communications engineering and computing. It highlights areas of
global and growing importance, such as renewable energy, power
systems, mobile communications, security and the Internet of Things
(IoT). The contributions cover a number of current research issues,
including smart grids, photovoltaic systems, wireless power
transfer, signal processing, 4G and 5G technologies, IoT
applications, mobile cloud computing and many more. Based on the
proceedings of the first International Conference on Emerging
Trends in Electrical, Electronic and Communications Engineering
(ELECOM 2016), held in Voila Bagatelle, Mauritius from November 25
to 27, 2016, the book provides graduate students, researchers and
professionals with a snapshot of the state-of-the-art and a source
of new ideas for future research and collaborations.
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Emerging Trends in Electrical, Electronic and Communications Engineering - Proceedings of the First International Conference on Electrical, Electronic and Communications Engineering (ELECOM 2016), Bagatelle, Mauritius, November 25 -27, 2016 (Hardcover, 1st ed. 2017)
Peter Fleming, Nalinaksh Vyas, Saeid Sanei, Kalyanmoy Deb
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R7,130
Discovery Miles 71 300
|
Ships in 10 - 15 working days
|
The book reports on advanced theories and methods in two related
engineering fields: electrical and electronic engineering, and
communications engineering and computing. It highlights areas of
global and growing importance, such as renewable energy, power
systems, mobile communications, security and the Internet of Things
(IoT). The contributions cover a number of current research issues,
including smart grids, photovoltaic systems, wireless power
transfer, signal processing, 4G and 5G technologies, IoT
applications, mobile cloud computing and many more. Based on the
proceedings of the first International Conference on Emerging
Trends in Electrical, Electronic and Communications Engineering
(ELECOM 2016), held in Voila Bagatelle, Mauritius from November 25
to 27, 2016, the book provides graduate students, researchers and
professionals with a snapshot of the state-of-the-art and a source
of new ideas for future research and collaborations.
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.
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Smart and Sustainable Engineering for Next Generation Applications - Proceeding of the Second International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM 2018), November 28-30, 2018, Mauritius (Hardcover, 1st ed. 2019)
Peter Fleming, Beatrys Margaretha Lacquet, Saeid Sanei, Kalyanmoy Deb, Andreas Jakobsson
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R5,840
Discovery Miles 58 400
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Ships in 10 - 15 working days
|
This book reports on advanced theories and methods in two related
engineering fields: electrical and electronic engineering, and
communications engineering and computing. It highlights areas of
global and growing importance, such as renewable energy, power
systems, mobile communications, security and the Internet of Things
(IoT). The contributions cover a number of current research issues,
including smart grids, photovoltaic systems, wireless power
transfer, signal processing, 4G and 5G technologies, IoT
applications, mobile cloud computing and many more. Based on the
proceedings of the Second International Conference on Emerging
Trends in Electrical, Electronic and Communications Engineering
(ELECOM 2018), held in Mauritius from November 28 to 30, 2018, the
book provides graduate students, researchers and professionals with
a snapshot of the state-of-the-art and a source of new ideas for
future research and collaborations.
Electroencephalograms (EEGs) are becoming increasingly important
measurements of brain activity and they have great potential for
the diagnosis and treatment of mental and brain diseases and
abnormalities. With appropriate interpretation methods they are
emerging as a key methodology to satisfy the increasing global
demand for more affordable and effective clinical and healthcare
services.
Developing and understanding advanced signal processing
techniques for the analysis of EEG signals is crucial in the area
of biomedical research. This book focuses on these techniques,
providing expansive coverage of algorithms and tools from the field
of digital signal processing. It discusses their applications to
medical data, using graphs and topographic images to show
simulation results that assess the efficacy of the methods.
Additionally, expect to find: explanations of the significance
of EEG signal analysis and processing (with examples) and a useful
theoretical and mathematical background for the analysis and
processing of EEG signals; an exploration of normal and abnormal
EEGs, neurological symptoms and diagnostic information, and
representations of the EEGs; reviews of theoretical approaches in
EEG modelling, such as restoration, enhancement, segmentation, and
the removal of different internal and external artefacts from the
EEG and ERP (event-related potential) signals; coverage of major
abnormalities such as seizure, and mental illnesses such as
dementia, schizophrenia, and Alzheimer's disease, together with
their mathematical interpretations from the EEG and ERP signals and
sleep phenomenon; descriptions of nonlinear and adaptive digital
signal processing techniques forabnormality detection, source
localization and brain-computer interfacing using multi-channel EEG
data with emphasis on non-invasive techniques, together with future
topics for research in the area of EEG signal processing. The
information within "EEG Signal Processing" has the potential to
enhance the clinically-related information within EEG signals,
thereby aiding physicians and ultimately providing more cost
effective, efficient diagnostic tools. It will be beneficial to
psychiatrists, neurophysiologists, engineers, and students or
researchers in neurosciences. Undergraduate and postgraduate
biomedical engineering students and postgraduate epileptology
students will also find it a helpful reference.
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