The interdisciplinary field of biomedical engineering requires its practitioners to know and master not only engineering skills, but also a diversity of material in the biological sciences. This text helps biomedical engineering students and professionals strengthen their skills in the network of applied mathematics that ties together these diverse disciplines. Based on the author's 30 years of experience in teaching as well as his personal research on neurosensory systems, this book, now in its second edition, provides a ready source of information on the specialized mathematical techniques most useful in describing and analyzing biomedical signals.
• Biomedical Engineering
Biomedical Engineering
Digital Signal Processing
Systems & Controls
Textbook
Undergraduate

An introductory text, this book has been written for engineers and scientists who have not studied molecular biology, genomics, and proteomics, and who are working with, or planning to work with, living systems. The authors assume readers are familiar with basic calculus, physics, and linear algebra. They describe the very complex biochemical relations that permit life to exist, highlighting the specialized organic molecules in living organism, and how they interact and react. This is a primer, not intended as an academic short cut or a replacement for formal, in-depth course work, but intended to broaden the background and pique the interest of undergraduate students.
• Biomedical Engineering
Biomedical Engineering
Biotechnology
Molecular Biology
Textbook
Undergraduate

Already considered the benchmark for engineering measurement methodology, this completely revised and updated edition examines new methods of measurement resulting from recent technological advancements. The book provides a firm knowledge base in modern areas such as sensor mechanisms, data compression, and specialized opto-electronic sensor systems. New sections include geophysical, chemical, and photonic instrumentation; photomultipliers and channel-plate photon sensors; GPS modifications; Substance detection; low-noise system designs, digital signal processing, and interfaces; and more! This edition provides instructors with an excellent text and practicing engineers with a thorough and essential reference guide.
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Instrumentation, Measurement & Testing
Industrial Engineering & Manufacturing
Mechanical Engineering
Textbook
Undergraduate

This book introduces the basic mathematical tools used to describe noise, its propagation through linear systems, and a basic description of the improvement of signal-to-noise ratio (SNR) by signal averaging and linear filtering. The author demonstrates how op amps are the keystone of modern analog signal conditioning systems design and illustrates their use in isolation and instrumentation amplifiers, active filters, and numerous biomedical instrumentation systems and subsystems. He examines the properties of the ideal op amp, applies this model to the analysis of various circuits, and explores the "building blocks" of the signal conditioning systems used to monitor and measure medical data.
• Biomedical Engineering
Biomedical Engineering
Instrumentation, Measurement & Testing
Circuits & Devices
Reference
Professional

Whether used for an upper-level, biomedical engineering class or as a reference for medical students, healthcare professional, physicists, or physiologists, this book stands alone in presenting the state of NIMD art and science. Featuring emerging technologies along with traditional instruments, it describes how these non-invasive tools and techniques work and explores developments that will make NIMD simpler, more reliable, less expensive, and risk-free. The treatment is readily accessible to readers with a background in basic algebra and ordinary differential equations, basic circuit theory, and concepts such as frequency response and transient response of linear systems.
• Biomedical Engineering
Biomedical Engineering
Instrumentation, Measurement & Testing
Reference
Professional

Introduction to Dynamic Modeling of Neuro-Sensory Systems presents the mathematical tools and methods that can describe and predict the dynamic behavior of single neurons, small assemblies of neurons devoted to a single tasks, as well as larger sensory arrays and their underlying neuropile. Focusing on small and medium-sized biological neural networks, the author pays particular attention to visual feature extraction, especially the compound eye visual system and the vertebrate retina. For computational efficiency, the treatment avoids molecular details of neuron function and uses the locus approach for medium-scale modeling of arrays. The author uses the general, nonlinear ordinary differential equation solver Simnon (trademark) for all examples and exercises.
• Biomedical Engineering
Biomedical Engineering
Neuroscience
Reference
Professional

From a biomedical engineering perspective, this book takes an analytic, quantitative approach to describing the basic components of physiological regulators and control systems (PRCs). The author provides grounding in the classical methods of designing linear and nonlinear systems. He also offers state-of-the-art material on the potential of PRCs to treat immune system ailments, most notably AIDS and cancer. The book includes simulations that illustrate model validations and the putative control of cancer and HIV proliferation. It explores novel, untried immunotherapies on the cutting-edge of PRC treatment and explores the latest technologies.
• Biomedical Engineering
Biomedical Engineering
Reference
Professional