Computerized Data Acquisition and Analysis for the Life Sciences :A Hands-on Guide

Publication subTitle :A Hands-on Guide

Author: Simon S. Young  

Publisher: Cambridge University Press‎

Publication year: 2001

E-ISBN: 9780511891120

P-ISBN(Paperback): 9780521562812

Subject: R33 Human Physiology

Keyword: 人体生理学

Language: ENG

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Computerized Data Acquisition and Analysis for the Life Sciences

Description

Computerized data acquisition systems are often the principle method of recording experimental results. This book takes the reader step-by-step through the process of data acquisition and analysis, explaining how to set up the systems and then obtain useful information from the data recorded. In an easy-to-read style, it guides researchers through the basics of data acquisition systems, explains the important underlying concepts, and gives numerous examples of how to analyze the recorded information. While aimed at researchers in the life sciences, the topics covered are general and will be valuable to anyone interested in learning to use data acquisition systems. The principles can be applied to the collection of data from respiratory apparatus to behavioral science experiments, and a host of other situations. Many illustrations and worked examples accompany the text, and the mathematics are kept simple. This book is an invaluable tool for the non-engineer who is collecting and analyzing experimental data using data acquisition systems.

Chapter

Choose the Sampling Rate and Anti-Aliasing Filters

Size of Data Files

Unipolar and Bipolar Mode

Multiplexing

Sample-and-Hold Circuit

Single-Ended and Differential Inputs

Computers

Software

Data Format and Storage Space

Digital-to-Analogue Converters

Digital Input and Output

Counter/Timer Inputs

3 Important Concepts

Sampling Rate

Decibels

Types of Low-Pass Filters

Oversampling

Preventing Aliasing

Finding the Maximum Frequency Present in a Signal

Digital-to-Analogue Conversion

4 Connecting to the Real World with Transducers

Temperature

Strain

Force

Acceleration

Displacement and Rotation

Pressure

Light

Isolation Amplifiers

Nonlinear Sensors and Linearization

5 Data Manipulation

Data Format

Statistics

Peak, Trough, and Zero-Crossing Detection

Resampling and Interpolation

Curve Fitting

Filters

Spectral Analysis and the Fast Fourier Transform

Integration

Differentiation

Correlation

Chaos and Nonlinear Analysis

Removing 50/60 Hz Interference

Two- and Three-Dimensional Signal Analysis

6 Examples

ECG Signal

Cardiac Output by Indicator Dilution

Spectral Edge from EEG Data

Nonlinear Curve Fitting to a Dose-Response Curve

Heart Rate Variability

Equine Hoof Anatomy

Neurophysiological Recording

Appendix Suppliers of Data Acquisition/Analysis Hardware and Software and Electronic Components

Notes

References

Index

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