Signal Processing of Random Physiological Signals / by Charles S. Lessard.

Format:

Book

Author/Creator:

Lessard, Charles., Author.

Series:

Synthesis Lectures on Biomedical Engineering, 1930-0336

Language:

English

Subjects (All):

Engineering.

Biophysics.

Biomedical engineering.

Technology and Engineering.

Biomedical Engineering and Bioengineering.

Local Subjects:

Technology and Engineering.

Biophysics.

Biomedical Engineering and Bioengineering.

Physical Description:

1 online resource (X, 222 p.)

Edition:

1st ed. 2008.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2008.

Summary:

This lecture book is intended to be an accessible and comprehensive introduction to random signal processing with an emphasis on the real-world applications of biosignals. Although the material has been written and developed primarily for advanced undergraduate biomedical engineering students it will also be of interest to engineers and interested biomedical professionals of any discipline seeking an introduction to the field. Within education, most biomedical engineering programs are aimed to provide the knowledge required of a graduate student while undergraduate programs are geared toward designing circuits and of evaluating only the cardiac signals. Very few programs teach the processes with which to evaluate brainwave, sleep, respiratory sounds, heart valve sounds, electromyograms, electro-oculograms, or random signals acquired from the body. The primary goal of this lecture book is to help the reader understand the time and frequency domain processes which may be used and to evaluate random physiological signals. A secondary goal is to learn the evaluation of actual mammalian data without spending most the time writing software programs. This publication utilizes “DADiSP”, a digital signal processing software, from the DSP Development Corporation.

Contents:

Biomedical Engineering Signal Analysis

System Classification

Classification of Signals

Basis Functions and Signal Representation

Data Acquisition Process

Sampling Theory and Analog-to-Digital Conversion

Stationarity and Ergodic Random Processes

Nonparametric Statistic and the Runs Test for Stationarity

Correlation Functions

Convolution

Digital Filters

Fourier Series: Trigonometric

Fast Fourier Transform

Truncation of the Infinite Fourier Transform

Spectral Analysis

Window Functions and Spectral Leakage

Transfer Function Via Spectral Analysis

Coherence Function from Spectral Analysis

Error in Random Data Estimate Analysis (Information Is Paraphrased from Bendat & Piersol).

ISBN:

9783031016103

3031016106