ABSTRACT
The main objective of this part of the book is to introduce the fundamentals of discrete-time signals and systems and to provide a working knowledge necessary for performing signal processing of common signals derived from the human body. Ultimately, any engineering analysis must be compared with experimental data both for validation and for estimating the sensitivity of the system to small changes in parameter values. Modern biomedical instrumentation predominantly produces electrical signals as outputs, no matter what physical variable is being measured. Also, data acquisition is invariably linked to the digital computer. This section, therefore, presents the elements of signal processing necessary for a biomedical engineer, from both a theoretical and a practical point of view. A review of Fourier series, transforms, and spectral analysis is followed by a discussion of techniques relevant to data acquisition by a digital computer. Digital filtering and other signal processing techniques are next presented, including such modern techniques as time-frequency analysis. Examples are included to illustrate the techniques from such research areas as bioelectric signal analysis and image processing.
