Bionics for the Evil Genius: 25 Build-it-Yourself Projects

Book Description
The best-selling Evil Genius format provides hobbyists with a fun and inexpensive way to learn bionics via 25 complete projects. Once the focus of popular 70's TV, bionics (integrating mechanical and electronic materials with living matter) are being used more than ever to replace or repair physiological or anatomical functions or disorders.

Table of Contents
SECTION ONE: INTRODUCTION
SECTION TWO: BIOLOGY AND ELECTRONICS
SECTION THREE: 25 PRACTICAL PROJECTS
Project 1: Experiments with an Electric Fish
Project 2: Visual Biofeedback
Project 3: Audio Biofeedback
Project 4: Nerves Stimulator
Project 5: Stroboscopic Lamp
Project 6: Bio-Amplifier
Project 7: Panic Generator
Project 8: Magnetic Field Generator
Project 9: Hypnotic LEDs
Project 10: Insect Repellent
Project 11: Bionic Trap
Project 12: Animal Conditioner
Project 13: White Noise Generator
Project 14: Bionic Ear
Project 15: Insect Killer
Project 16: Bionic Tactile Organ
Project 17: Lie Detector
Project 18: Bionic Smell Generator
Project 19: Experimenting with Oscillators
Project 20: Ionizer
Project 21: Tactile Hearing Aid
Project 22: Using the Multimeter in Bionic Experiments
Project 23: Bionic Vision
Project 24: Ecological Monitor
Project 25: Bat Ear
SECTION FOUR: ADDITIONAL INFORMATION
SECTION FIVE: RESOURCES
INDEX

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CIRCUITS, SYSTEMS, AND SIGNALS FOR BIOENGINEERS: A MATLAB-BASED INTRODUCTION

Book Description
This book guides the reader through the electrical engineering principles that can be applied to biological systems and are therefore important to biomedical studies. The basic engineering concepts that underlie biomedical systems, medical devices, biocontrol, and biosignal analysis are explained in detail.

Table of Contents
1 BIOENGINEERING SIGNALS AND SYSTEMS
2 BASIC SIGNAL PROCESSING
3 FREQUENCY TRANSFORMATIONS
4 CIRCUIT AND ANALOG ANALYSIS IN SINUSOIDAL STEADY STATE
5 ANALYSIS OF ANALOG MODELS AND PROCESSES
6 FREQUENCY CHARACTERISTICS OF CIRCUITS AND ANALOG PROCESSES: THE TRANSFER FUNCTION
7 RELATIONSHIPS BETWEEN ANALOG ELEMENTS
8 THE ANALYSIS OF TRANSIENTS: THE LAPLACE TRANSFORM
9 SYSTEM MODELS AND BEHAVIOR
10 BASIC ANALOG ELECTRONICS: OPERATIONAL AMPLIFIERS

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Bioelectrical Signal Processing in Cardiac and Neurological Applications

Book Description
The analysis of bioelectrical signals continues to receive wide attention in research as well as commercially because novel signal processing techniques have helped to uncover valuable information for improved diagnosis and therapy. This book takes a unique problem-driven approach to biomedical signal processing by considering a wide range of problems in cardiac and neurological applications–the two "heavyweight" areas of biomedical signal processing. The interdisciplinary nature of the topic is reflected in how the text interweaves physiological issues with related methodological considerations. Bioelectrical Signal Processing is suitable for a final year undergraduate or graduate course as well as for use as an authoritative reference for practicing engineers, physicians, and researchers.

Table of Contents
1. Introduction
2. The Electroencephalogram – A Brief Background
3. EEG Signal Processing. (not available)
4. Evoked Potentials
5. The Electromyogram
6. The Electrocardiogram – A Brief Background
7. ECG Signal Processing
8. ECG Signal Processing: Heart Rate Variability

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INTRODUCTION TO BIOMEDICAL ENGINEERING by John D. Enderle

Book Description
Introduction to Biomedical Engineering, Second Edition provides a historical perspective of the major developments in the biomedical field. Also contained within are the fundamental principles underlying biomedical engineering design, analysis, and modeling procedures. The numerous examples, drill problems and exercises are used to reinforce concepts and develop problem-solving skills making this book an invaluable tool for all biomedical students and engineers.

Contents
1 BIOMEDICAL ENGINEERING: A HISTORICAL PERSPECTIVE
2 MORAL AND ETHICAL ISSUES
3 ANATOMY AND PHYSIOLOGY
4 BIOMECHANICS
5 REHABILITATION ENGINEERING AND ASSISTIVE TECHNOLOGY
6 BIOMATERIALS
7 TISSUE ENGINEERING
8 BIOINSTRUMENTATION
9 BIOMEDICAL SENSORS
10 BIOSIGNAL PROCESSING
11 BIOELECTRIC PHENOMENA
12 PHYSIOLOGICAL MODELING
13 GENOMICS AND BIOINFORMATICS
14 COMPUTATIONAL CELL BIOLOGY AND COMPLEXITY
15 RADIATION IMAGING
16 MEDICAL IMAGING
17 BIOMEDICAL OPTICS AND LASERS

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EEG Signal Processing

Book Description
Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and they have great potential for the diagnosis and treatment of mental and brain diseases and abnormalities. With appropriate interpretation methods they are emerging as a key methodology to satisfy the increasing global demand for more affordable and effective clinical and healthcare services.
Developing and understanding advanced signal processing techniques for the analysis of EEG signals is crucial in the area of biomedical research. This book focuses on these techniques, providing expansive coverage of algorithms and tools from the field of digital signal processing. It discusses their applications to medical data, using graphs and topographic images to show simulation results that assess the efficacy of the methods.

Additionally, expect to find:
- explanations of the significance of EEG signal analysis and processing (with examples) and a useful theoretical and mathematical background for the analysis and processing of EEG signals;
- an exploration of normal and abnormal EEGs, neurological symptoms and diagnostic information, and representations of the EEGs;
- reviews of theoretical approaches in EEG modelling, such as restoration, enhancement, segmentation, and the removal of different internal and external artefacts from the EEG and ERP (event-related potential) signals;
- coverage of major abnormalities such as seizure, and mental illnesses such as dementia, schizophrenia, and Alzheimer’s disease, together with their mathematical interpretations from the EEG and ERP signals and sleep phenomenon;
- descriptions of nonlinear and adaptive digital signal processing techniques for abnormality detection, source localization and brain-computer interfacing using multi-channel EEG data with emphasis on non-invasive techniques, together with future topics for research in the area of EEG signal processing.

The information within EEG Signal Processing has the potential to enhance the clinically-related information within EEG signals, thereby aiding physicians and ultimately providing more cost effective, efficient diagnostic tools. It will be beneficial to psychiatrists, neurophysiologists, engineers, and students or researchers in neurosciences. Undergraduate and postgraduate biomedical engineering students and postgraduate epileptology students will also find it a helpful reference.

Table of Contents
1 Introduction to EEG
2 Fundamentals of EEG Signal Processing
3 Event-Related Potentials
4 Seizure Signal Analysis
5 EEG Source Localization
6 Sleep EEG
7 Brain Computer Interfacing

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Molecular Biology of the Cell 5th Ed

Author(s): Bruce Alberts, Alexander Johnson, Julian Lewis, Martin Raff, Keith Roberts, Peter Walter & John Wils
Publisher: Garland Science
Date : 2008
Pages : 1725
Format : pdf
OCR : Y
Quality : Good
Language : English
ISBN-10 :
ISBN-13 :



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