Introduction to this book Book in Scopus uri icon

abstract

  • © 2022 Elsevier Inc. All rights reserved.Nowadays, there exists a growing amount of devices designed for the measurement of the functional state of human organs, which obtain biosignals as their outputs. Additionally, novel hardware advances are producing more precise and fast devices, and in some cases, both wearable and more affordable. This fact allows the generation of a huge quantity of data. The interest in capturing these signals is due to their large information portability capabilities which are suitable to be used for several purposes like medical diagnostics, biomedical engineering, education, sports medicine, personal safety among others. Here, both computational learning and computational intelligence offer a broad group of techniques for developing biosignals-based pattern recognition systems, which can be built from known patterns or, even, they could be useful to discover non-obvious patterns in the signals. These techniques along with the biosignal processing ones are the main core of this book whose main purview is to show the bridge between biosignal processing and pattern recognition, allowing their understanding and the developing of practical and novel applications that potentially can be created by the readers. Finally, in this chapter, we discuss the main scope of this book along with a short description of all its chapters. Especially, we show a set of interesting applications targeted to the development of tools for computer-assisted diagnostic, rehabilitation systems, biometric authentication systems, among others.

publication date

  • January 1, 2021