Biomedical Engineering Reference
In-Depth Information
CHAPTER
11
Biosignal Processing
Monty Escab
´
, PhD
OUTLINE
11.1 Introduction
668
11.7 Signal Averaging
721
11.2 Physiological Origins of
Biosignals
11.8 The Wavelet Transform and the
Short-Time Fourier Transform
668
727
11.3 Characteristics of Biosignals
671
11.9 Artificial Intelligence
Techniques
732
11.4 Signal Acquisition
674
11.10 Exercises
741
11.5 Frequency Domain Representation
of Biological Signals
679
Suggested Readings
745
11.6 Linear Systems
700
AT THE CONCLUSION OF THIS CHAPTER, STUDENTS WILL BE
ABLE TO:
Describe the different origins and types of
biosignals.
Distinguish between deterministic, periodic,
transient, and random signals.
Explain the process of A/D conversion.
Define the sampling theorem.
Describe the main purposes and uses of the
Fourier transforms.
Define the Z-transform.
Describe the basic properties of a linear
system.
Describe the concepts of filtering and signal
averaging.
Explain the basic concepts and advantages of
fuzzy logic.
Describe the basic concepts of artificial
neural networks.
