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Machine learning for biomedical application
Biomedicine is a multidisciplinary branch of medical science that consists of many scientific disciplines, e.g., biology, biotechnology, bioinformatics, and genetics; moreover, it covers various medical specialties. In recent years, this field of science has developed rapidly. This means that a large amount of data has been generated, due to (among other reasons) the processing, analysis, and recognition of a wide range of biomedical signals and images obtained through increasingly advanced medical imaging devices. The analysis of these data requires the use of advanced IT methods, which include those related to the use of artificial intelligence, and in particular machine learning. It is a summary of the Special Issue “Machine Learning for Biomedical Application”, briefly outlining selected applications of machine learning in the processing, analysis, and recognition of biomedical data, mostly regarding biosignals and medical images.
Low Power Uwb Cmos Radar Sensors
Low Power UWB CMOS Radar Sensors deals with the problem of designing low cost CMOS radar sensors. The radar sensor uses UWB signals in order to obtain a reasonable target separation capability, while maintaining a maximum signal frequency below 2 GHz. This maximum frequency value is well within the reach of current CMOS technologies. The use of UWB signals means that most of the methodologies used in the design of circuits and systems that process narrow band signals, can no longer be applied. Low Power UWB CMOS Radar Sensors provides an analysis between the interaction of UWB signals, the antennas and the processing circuits.
Citizenship Curriculum in Asia and the Pacific
Based on case studies of 11 societies in the world’s most dynamic region, this book signals a new direction of study at the intersection of citizenship education and the curriculum. This impressive collection of case studies of a diverse group of societies informs and enriches understanding of the complex relationship between citizenship education and the curriculum both regionally and globally.
Chemical Signals in Vertebrates 11
Presents the proceedings of "Chemical Signals in Vertebrates 11", hosted by the University of Liverpool and held July 25 - 28, 2006 at the University of Chester in the United Kingdom. Chemical Signals in Vertebrates 11 contains the latest research on chemical communication relevant to vertebrates, particularly focusing on new research since the last meeting in 2003. Topics covered include chemical ecology, biochemistry, behavior and neurobiology of both the main olfactory and vomeronasal systems of vertebrates, from amphibia to mammals including humans. A broad range of taxonomic groups and topics are discussed, including sections on new directions in semiochemistry, olfactory response and function, recognition within species, sexual communication, maternal-offspring communication, communication between species, and applications for zoo animal enrichment and pest control. The volume is dedicated to the memory of Dr. Bets Rasmussen and includes a special tribute chapter on her ground-breaking research on elephant communication.
Chemical Signals in Vertebrates 10
This book also represents the tenth in a series of books on chemical communication, chemical ecology, olfactory and vomeronasal research in vertebrate species. The species covered in the chapters herein range from fish to mammals including humans. By taxonomic breakdown the mammals are the most represented in number of species and chapter contributions. However, the hosts of the meeting endeavored to have some representative contributions covering all of the major vertebrate taxa.
Cell Motility in Cancer Invasion and Metastasis
Cancer Morbidity and mortality result from invasive and metastatic spread. Currently, no therapies are aimed at the underlying mechanisms that enable this progression due to only nascent recognition of the distinct biology which occurs only during tumor dissemination. Recent advances have highlighted the central role of cell motility during the dynamic and transient process of tumor invasion and metastasis. This book includes state-of-the-art updates by international leaders in these studies. Chapters first present the novel model systems that enable new investigations and insights. Chapters then describe in depth the key processes and molecules that may be therapeutically targeted. Finally, the role of cell motility and its signals is explored in a number of key tumor types. This compilation should be useful to researchers in basic and translational oncology as well as those developing novel agents to prevent tumor invasion and metastasis.
Cell Division Control in Plants
The molecular mechanisms controlling cell cycle progression are highly conserved in eukaryotes. In addition to the basic protein machinery involved in cell cycle regulation, higher plants have also evolved unique molecular mechanisms that allow integration of environmental, physiological, and developmental signals into networks to control proper cell division and expansion. Rapid and exciting research progress in these fields has been achieved from experimental observations on plants over the past decade. The scope of this volume is focused on the molecular basis of all aspects of cell division and cytokinesis in plants. It is an essential reference book for instructors and scientists working in the areas of molecular, cell, and developmental biology of plants. The editors of this book are veterans in the field of plant molecular biology and highly respected worldwide.
Case-Based Reasoning on Images and Signals
This book is the first edited book that deals with the special topic of signals and images within Case-Based Reasoning (CBR). It offers different learning capabilities, for all phases of a signal-interpreting system, that satisfy different needs during the development process of a signal-interpreting system.
Brain thoughts recognition
Humans controlling machines with their minds may sound like something from a scifi movie, but it’s becoming a reality through brain-computer interfaces BCI. Where BCI technology allows a human brain and an external device to talk to each other—to exchange signals. It gives humans the ability to directly control machines, without the physical constraints of the body. There are two ways to implement the BCI: Noninvasive tools often use sensors applied on or near the head to track and record brain activity, or Invasive BCI would require surgery. Electronic devices would need to be implanted beneath the skull, directly into the brain, to target specific sets of neurons. In order to implement a non-invasive BCI in a mobile phone, this study developed a mobile application to help paralyzed people who do not have the ability to use their phones to spend their basic daily needs, such as using the keyboard and interacting with PDF, etc.
Blind Speech Separation
This is the first book to provide a cutting edge reference to the fascinating topic of blind source separation (BSS) for convolved speech mixtures. Through contributions by the foremost experts on the subject, the book provides an up-to-date account of research findings, explains the underlying theory, and discusses potential applications. The individual chapters are designed to be tutorial in nature with specific emphasis on an in-depth treatment of state of the art techniques. Blind Speech Separation is divided into three parts:Part 1 presents overdetermined or critically determined BSS. Here the main technology is independent component analysis (ICA). ICA is a statistical method for extracting mutually independent sources from their mixtures. Part 2 addresses underdetermined BSS, where there are fewer microphones than source signals. Here, the sparseness of speech sources is very useful; we can utilize time-frequency diversity, where sources are active in different regions of the time-frequency plane.Part 3 presents monaural BSS where there is only one microphone. Here, we can separate a mixture by using the harmonicity and temporal structure of the sources. We can build a probabilistic framework by assuming a source model, and separate a mixture by maximizing the a posteriori probability of the sources.
Biophysical Aspects of Transmembrane Signaling
Transmembrane signaling is one of the most significant cell biological events in the life and death of cells in general and lymphocytes in particular. Until recently biochemists and biophysicists were not accustomed to thinking of these processes from the side of a high number of complex biochemical events and an equally high number of physical changes at molecular and cellular levels at the same time. Both types of researchers were convinced that their findings are the most decisive, having higher importance than the findings of the other scientist population. Both casts were wrong. Life, even at cellular level, has a number of interacting physical and biochemical mechanisms, which finally build up the creation of an "excited" cell that will respond to particular signals from the outer or inner world.
BioPaceMaking
The development of a bio-engineered pacemaker is of substantial clinical and also scientific interest because it promises to overcome several limitations of electronic pacemakers. Moreover it may answer the longstanding question of whether the complex structure of the sinus node is indeed a prerequisite for reliable pacemaking, or simpler structures might work as well. This book gives an overview of the current state-of-the-art of creating a bio-engineered pacemaker. It shows the approaches to develop of genetic and cell-based engineering methods suitable to implement them with safety and stability. It also illuminates the problems that need to be solved before bio-pacemaking can be considered for clinical use.
Bioelectricity : A Quantitative Approach
"The authors’ goal in producing this book was to provide an introductory text to electrophysiology, based on a quantitative approach. In attempting to achieve this goal, therefore, the authors have opened the book with a useful, and digestible, introduction to various aspects of the mathematics relevant to this field, including vectors, introduction to Laplace, Gauss’s theorem, and Green’s theorem. This book will be useful for students in medical physics and biomedical engineering wishing to enter the field of electrophysiological investigation. It will also be helpful for biologists and physiologists who wish to understand the mathematical treatment of the processes and signals at the center of the interesting interdisciplinary field.
Bandwidth Extension of Speech Signals
Bandwidth Extension of Speech Signals provides discussion on different approaches for efficient and robust bandwidth extension of speech signals while acknowledging the influence of noise corrupted real-world signals. The book describes the theory and methods for quality enhancement of clean speech signals and distorted speech signals.
Bacterial signal transduction : Networks and drug targets
Interactions among different TCSs enable one system to respond to multiple signals, which is important for bacteria to minutely adjust themselves to complex environmental changes. Such interactions are found or predicted in various bacteria in this book. Over the past decade, a vast amount of exciting new information on the signal transduction pathway in bacteria has been brought to light. Reports on these develop› ments have been put together in this book, Bacterial Signal Transduction: Networks andDrug Targets. This book Offers an incentive for graduate students, academic scientists, and researchers in the pharmaceutical industry to further elucidate the TCS networks and apply them in the search for novel drugs.
Avian Navigation : Pigeon Homing as a Paradigm
This monograph summarizes our current knowledge about pigeon homing, about the birds' application of a sun compass and a magnetic compass, of a visual topographical map within a familiar area and -- most surprisingly -- of an olfactory map using atmospheric chemosignals as indicators of position in distant unfamiliar areas
Auralization : Fundamentals of acoustics, modelling, simulation, algorithms and acoustic virtual reality
"Auralization" is the technique of creation and reproduction of sound on the basis of computer data. With this tool is it possible to predict the character of sound signals which are generated at the source and modified by reinforcement, propagation and transmission in systems such as rooms, buildings, vehicles or other technical devices. This book is organized as a comprehensive collection of the basics of sound and vibration, acoustic modelling, simulation, signal processing and audio reproduction. Implementations of the auralization technique are described using examples drawn from various fields in acoustic’s research and engineering, architecture, sound design and virtual reality.
Atmosphere and Climate : Studies by Occultation Methods
In this book we focus on sensors on Low Earth Orbit (LEO) satellites, which exploit solar, lunar, stellar, GNSS (Global Navi- tion Satellite Systems), and LEO-crosslink signals for observing the Earth's - mosphere and climate. The methods all share the key properties of self-calibration, high accuracy and vertical resolution, global coverage, and (if using radio signals) all-weather ca- bility. The atmospheric parameters obtained extend from the fundamental va- ables temperature, density, pressure and water vapor via trace gases, aerosols and cloud liquid water to ionospheric electron density. Occultation data are therefore of high value in a wide range of fields including climate monitoring and research, atmospheric physics and chemistry, operational meteorology, and ionospheric physics.
Atlas of electroanatomic mapping in supraventricular arrhythmias
For decades clinical electrophysiology has been considered a discipline for adepts, able to interpret not so obvious intracardiac signals. With the advent of new technologies, offering a three-dimensional reconstruction of cardiac anatomy and generating colour-coded maps, the approach to the complex world of electrophysiology is changing: A three-dimensional colour-coded electroanatomic map of a left atrium could be a precise and self-explanatory representation based on intracavitary signals, on which correct diagnosis is made and successul ablation is performed. As expected, this makes the difference especially in cases exhibiting complex arrhythmias (atypical atrial flutters, postsurgical arrhythmias), in which the task could be really tough.
Artificial Intelligence Applications for Health Care
Covers topics on health care and artificial intelligence. Data sets related to biomedical signals (ECG, EEG, EMG) and images (X-rays, MRI, CT) are explored, analyzed, and processed through different computation intelligence methods. Applications of computational intelligence techniques like artificial and deep neural networks, swarm optimization, expert systems, decision support systems, clustering, and classification techniques on medial datasets are explained. Survey of medical signals, medial images, and computation intelligence methods are also provided.
