Understanding the Human Machine: A Primer for Bioengineering

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World Scientific, 2004 - 396 pagine
This introductory book for undergraduate students poses a question: What is bioengineering all about? After offering a reference frame and defining the objectives (chapter 1), ?physiology? (chapter 2) is presented as a source material followed by ?signals? (chapter 3) and ?signal pick up? (chapter 4). Chapter 5 deals with the biological amplifier. Reading the signal and the need for mathematical models are the subject matter, respectively, of chapters 6 and 7; they only provide guidance. The last chapter tries to look ahead. Sometimes, the subject is treated in relative depth; at times, the visit is more superficial. Formation rather than information is favored. Historical shots supply background material and spicy insights. Style is light, sprinkled with a little humor. There are exercises which allow students to learn independently.
 

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Indice

Introduction
1
13 Quantification Process
3
14 Witchery Charlatanism Frankenstein Science Fiction
5
15 Koestlers Creative Collisions
7
The Recording Channel
8
17 Objectives
10
Source Physiological Systems and Levels
13
22 Cardiovascular System
16
43 SensorsTransducers
288
44 Biosensors
292
45 Comments and Conclusions
296
Biological Amplifier
299
52 Basic Requirements
300
53 Instrumentation Amplifiers IA
301
54 Instrumentation Amplifier Specifications
312
55 Noise and Interference
318

23 Respiratory System
98
24 Renal System
121
25 Gastrointestinal System
142
26 Endocrine System
158
27 Nervous System
191
28 Muscular System
203
29 The Cell
212
Signals What They Are
217
32 Bioelectric Events and their Signals
218
33 Signals Produced by Biomechanical Systems
253
34 Signals Produced by Biomaterials
259
35 Cellular Signals
262
36 Image as a Signal
263
37 Concluding Remarks of Chapter 3
268
Signal Pick Up
271
The ElectricElectric Transducer
272
56 Conclusions
335
The Interpreter Reading the Signals
337
62 Pattern Reading
338
63 Discretization of a Signal
340
64 What Do We Do With the Signals?
344
65 Final Remarks and Conclusions
346
Feedback The Need of Mathematical Models
349
72 Linear versus NonLinear Models
351
73 Characteristics of a System Model
355
74 Partial Final Remarks
357
Rounding Up and Looking Ahead
359
References
365
Index
383
List of Figures
393
Copyright

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