Joseph Tranquillo – författare
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5 produkter
5 produkter
Häftad, Engelska, 2022
960 kr
Skickas inom 5-8 vardagar
*Textbook and Academic Authors Association (TAA) Most Promising New Textbook Award Winner, 2024*Biomedical Engineering Design presents the design processes and practices used in academic and industry medical device design projects. The first two chapters are an overview of the design process, project management and working on technical teams. Further chapters follow the general order of a design sequence in biomedical engineering, from problem identification to validation and verification testing. The first seven chapters, or parts of them, can be used for first-year and sophomore design classes. The next six chapters are primarily for upper-level students and include in-depth discussions of detailed design, testing, standards, regulatory requirements and ethics. The last two chapters summarize the various activities that industry engineers might be involved in to commercialize a medical device.
Covers subject matter rarely addressed in other BME design texts, such as packaging design, testing in living systems and sterilization methodsProvides instructive examples of how technical, marketing, regulatory, legal, and ethical requirements inform the design processIncludes numerous examples from both industry and academic design projects that highlight different ways to navigate the stages of design as well as document and communicate design decisionsProvides comprehensive coverage of the design process, including methods for identifying unmet needs, applying Design for 'X', and incorporating standards and design controlsDiscusses topics that prepare students for careers in medical device design or other related medical fields
E-bok
Engelska, 20221 053 kr
Läs direkt efter köp
Biomedical Engineering Design presents the design processes and practices used in academic and industry medical device design projects. The first two chapters are an overview of the design process, project management and working on technical teams. Further chapters follow the general order of a design sequence in biomedical engineering, from problem identification to validation and verification testing. The first seven chapters, or parts of them, can be used for first-year and sophomore design classes. The next six chapters are primarily for upper-level students and include in-depth discussions of detailed design, testing, standards, regulatory requirements and ethics. The last two chapters summarize the various activities that industry engineers might be involved in to commercialize a medical device.- Covers subject matter rarely addressed in other BME design texts, such as packaging design, testing in living systems and sterilization methods- Provides instructive examples of how technical, marketing, regulatory, legal, and ethical requirements inform the design process- Includes numerous examples from both industry and academic design projects that highlight different ways to navigate the stages of design as well as document and communicate design decisions- Provides comprehensive coverage of the design process, including methods for identifying unmet needs, applying Design for ''X'', and incorporating standards and design controls- Discusses topics that prepare students for careers in medical device design or other related medical fields
Häftad, Engelska, 2008
371 kr
Skickas inom 10-15 vardagar
Quantitative Neurophysiology is supplementary text for a junior or senior level course in neuroengineering. It may also serve as an quick-start for graduate students in engineering, physics or neuroscience as well as for faculty interested in becoming familiar with the basics of quantitative neuroscience. The first chapter is a review of the structure of the neuron and anatomy of the brain. Chapters 2-6 derive the theory of active and passive membranes, electrical propagation in axons and dendrites and the dynamics of the synapse. Chapter 7 is an introduction to modeling networks of neurons and artificial neural networks. Chapter 8 and 9 address the recording and decoding of extracellular potentials. The final chapter has descriptions of a number of more advanced or new topics in neuroengineering. Throughout the text, vocabulary is introduced which will enable students to read more advanced literature and communicate with other scientists and engineers working in the neurosciences. Numerical methods are outlined so students with programming knowledge can implement the models presented in the text. Analogies are used to clarify topics and reinforce key concepts. Finally, homework and simulation problems are available at the end of each chapter. Table of Contents: Preface / Neural Anatomy / Passive Membranes / Active Membranes / Propagation / Neural Branches / Synapses / Networks of Neurons / Extracellular Recording and Stimulation / The Neural Code / Applications / Biography / Index
E-bok
PDF, Engelska, 2022455 kr
Läs direkt efter köp
Quantitative Neurophysiology is supplementary text for a junior or senior level course in neuroengineering. It may also serve as an quick-start for graduate students in engineering, physics or neuroscience as well as for faculty interested in becoming familiar with the basics of quantitative neuroscience. The first chapter is a review of the structure of the neuron and anatomy of the brain. Chapters 2-6 derive the theory of active and passive membranes, electrical propagation in axons and dendrites and the dynamics of the synapse. Chapter 7 is an introduction to modeling networks of neurons and artificial neural networks. Chapter 8 and 9 address the recording and decoding of extracellular potentials. The final chapter has descriptions of a number of more advanced or new topics in neuroengineering. Throughout the text, vocabulary is introduced which will enable students to read more advanced literature and communicate with other scientists and engineers working in the neurosciences. Numerical methods are outlined so students with programming knowledge can implement the models presented in the text. Analogies are used to clarify topics and reinforce key concepts. Finally, homework and simulation problems are available at the end of each chapter. Table of Contents: Preface / Neural Anatomy / Passive Membranes / Active Membranes / Propagation / Neural Branches / Synapses / Networks of Neurons / Extracellular Recording and Stimulation / The Neural Code / Applications / Biography / Index
E-bok
PDF, Engelska, 2022395 kr
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In recent years, the life sciences have embraced simulation as an important tool in biomedical research. Engineers are also using simulation as a powerful step in the design process. In both arenas, Matlab has become the gold standard. It is easy to learn, flexible, and has a large and growing userbase. MATLAB for Engineering and the Life Sciences is a self-guided tour of the basic functionality of MATLAB along with the functions that are most commonly used in biomedical engineering and other life sciences. Although the text is written for undergraduates, graduate students and academics, those in industry may also find value in learning MATLAB through biologically inspired examples. For instructors, the book is intended to take the emphasis off of learning syntax so that the course can focus more on algorithmic thinking. Although it is not assumed that the reader has taken differential equations or a linear algebra class, there are short introductions to many of these concepts. Following a short history of computing, the MATLAB environment is introduced. Next, vectors and matrices are discussed, followed by matrix-vector operations. The core programming elements of MATLAB are introduced in three successive chapters on scripts, loops, and conditional logic. The last three chapters outline how to manage the input and output of data, create professional quality graphics and find and use Matlab toolboxes. Throughout, biomedical examples are used to illustrate MATLAB''s capabilities.Table of Contents: Introduction / Matlab Programming Environment / Vectors / Matrices / Matrix -- Vector Operations / Scripts and Functions / Loops / Conditional Logic / Data In, Data Out / Graphics / Toolboxes