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Data Acquisition and Processing in Biology and Medicine, Volume 5 presents the proceedings of the 1966 Rochester Conference. The book presents a model based on the visco-elastic behavior of the aorta and arterioles that can generate aortic pressure curves resembling real ones; and the computer-aided diagnosis. The text also includes papers on an electric analog for the uptake, distribution and excretion of inhalation anesthetics; the use of computer analysis of morphological pattern as an aid in taxonomic discrimination; and a simulation study of a hand controlled by myoelectric signals. Computer-aided differentiation of glycemic curves, as well as the use of Fourier waveform analysis to confirm the differentiability of preganglionic slow potentials into postganglionic slow potential waveforms are also encompassed.
Data Acquisition and Processing: In Biology and Medicine, Volume 2 records the proceedings of the 1962 Rochester Conference on Data Acquisition and Processing in Biology and Medicine. The conference explores the utilization, viability, and implication of electronic data processing in the field of bio-medicine. The compendium encompasses the developments in electronic data processing in relation to its wide application to medicine and life sciences. The conference is organized so that experts in the various fields of medicine and biology, along with computer science and systems experts, present and develop ideas, technologies, and methods they can effectively use in their line of work. The conference devotes sessions to discuss relevant topics in medical research and analysis; research and development of medical information retrieval projects; digital and analog computation considerations for biomedical problems; and the use of statistical decision functions in medical diagnosis. The book will be interesting to physicians, medical researchers, computer and systems experts, specialists in the life sciences, and workers in the pharmaceutical industry.
The leading reference on electroencephalography since 1982, Niedermeyer's Electroencephalography is now in its thoroughly updated Sixth Edition. An international group of experts provides comprehensive coverage of the neurophysiologic and technical aspects of EEG, evoked potentials, and magnetoencephalography, as well as the clinical applications of these studies in neonates, infants, children, adults, and older adults. This edition's new lead editor, Donald Schomer, MD, has updated the technical information and added a major new chapter on artifacts. Other highlights include complete coverage of EEG in the intensive care unit and new chapters on integrating other recording devices with EEG; transcranial electrical and magnetic stimulation; EEG/TMS in evaluation of cognitive and mood disorders; and sleep in premature infants, children and adolescents, and the elderly. A companion website includes fully searchable text and image bank.
An essential contribution to the study of the history of computers, this work identifies the computer's impact on the physical, biological, cognitive, and medical sciences. References fundamental to the understudied area of the history of scientific computing also document the significant role of the sciences in helping to shape the development of computer technology. More broadly, the many resources on scientific computing help demonstrate how the computer was the most significant scientific instrument of the 20th century. The only guide of its kind covering the use and impact of computers on the the physical, biological, medical, and cognitive sciences, it contains more than 1,000 annotated citations to carefully selected secondary and primary resources. Historians of technology and science will find this a very useful resource. Computer scientists, physicians, biologists, chemists, and geologists will also benefit from this extensive bibliography on the history of computer applications and the sciences.
"This comprehensive reference work provides immediate, fingertip access to state-of-the-art technology in nearly 700 self-contained articles written by over 900 international authorities. Each article in the Encyclopedia features current developments and trends in computers, software, vendors, and applications...extensive bibliographies of leading figures in the field, such as Samuel Alexander, John von Neumann, and Norbert Wiener...and in-depth analysis of future directions."
Principles of Neurobiological Signal Analysis deals with the principles of signal analysis as applied to the electrical activity of the nervous system. Topics covered include biological signals, the basics of signal processing, and power spectra and covariance functions. Evoked potentials, spontaneous and driven single unit activity, and multiunit activity are also considered, along with the relations between slow wave and unit activity. This book consists of eight chapters and begins by establishing the theoretical groundwork of signal analysis, with emphasis on the properties of signal and noise; sampling and conversion of biological signals into sequences of digital numbers readily digestible by a computer; and the concepts of power spectrum and covariance analysis. The following chapters explore techniques for extracting evoked responses from background noise; multivariate statistical procedures for treating evoked response waveshapes as variables dependent upon the experimental manipulations performed upon a subject; and spike (action potential) activity generated by neurons. The final chapter describes methods for studying how such spike activity may be related to the concurrently observed slow wave (EEG-like) activity of the nervous system. This monograph will be of interest to physiologists and neurobiologists.
Advances in Biological and Medical Physics, Volume 16 covers articles about advances in biological and medical physics. The book presents articles about studies on spontaneous bioelectric activity of nerve cells in cultures and on means and methods for processing of physiological signals with emphasis on EEG analysis. The text also includes articles on dissipative structures and biological order; on spatial and temporal organization in the Zhabotinsky reaction; as well as on chemical topology and reaction dynamics. The perspectives on thermodynamics and the origin of life; pattern formation in a model for cooperative membrane carrier transport; as well as an enzyme membrane oscillator are also considered. The book further describes articles about synthetic membranes and living cells, membrane structure and passive flows, and energetics of active transport. The text then discusses the isolation and characterization of different molecular forms of acetylcholinesterase and the relationship of the enzyme to the membrane; as well as the chemical control of bioelectric currents. The traditional conflict between physics and metaphysics; human and scientific concepts of time; the relation of the sciences to human and religious values; and moiré patterns in science and art are also encompassed. The book concludes by providing summary remarks and personal recollections of Aharon Katchalsky and a description of Aharon Katzir as a scientist and humanist. Biological and medical physicists will find the book invaluable.
Regularization becomes an integral part of the reconstruction process in accelerated parallel magnetic resonance imaging (pMRI) due to the need for utilizing the most discriminative information in the form of parsimonious models to generate high quality images with reduced noise and artifacts. Apart from providing a detailed overview and implementation details of various pMRI reconstruction methods, Regularized image reconstruction in parallel MRI with MATLAB examples interprets regularized image reconstruction in pMRI as a means to effectively control the balance between two specific types of error signals to either improve the accuracy in estimation of missing samples, or speed up the estimation process. The first type corresponds to the modeling error between acquired and their estimated values. The second type arises due to the perturbation of k-space values in autocalibration methods or sparse approximation in the compressed sensing based reconstruction model. Features: Provides details for optimizing regularization parameters in each type of reconstruction. Presents comparison of regularization approaches for each type of pMRI reconstruction. Includes discussion of case studies using clinically acquired data. MATLAB codes are provided for each reconstruction type. Contains method-wise description of adapting regularization to optimize speed and accuracy. This book serves as a reference material for researchers and students involved in development of pMRI reconstruction methods. Industry practitioners concerned with how to apply regularization in pMRI reconstruction will find this book most useful.
The book is intended to be a collection of contributions providing a bird’s eye view of some relevant multidisciplinary applications of data acquisition. While assuming that the reader is familiar with the basics of sampling theory and analog-to-digital conversion, the attention is focused on applied research and industrial applications of data acquisition. Even in the few cases when theoretical issues are investigated, the goal is making the theory comprehensible to a wide, application- oriented, audience.