This book was developed to meet the needs of undergraduate and graduate students in the areas of genetic algorithms, signal processing, statistics, and data mining in the area of computer science. Several exercises contained in this book were extracted from the GAADT and CGAADT algorithms. The first chapter of this book aims to provide the reader with basic concepts about electrocardiogram signal processing and its effectiveness in diagnosing cardiac arrhythmia based on signal capture. The following chapter presents the basic concepts of genetic algorithms, pseudolanguage, variables, and their uses. The following chapters deal with the basic structures of the electrocardiogram, morphology, and waveform characteristics of cardiac signals. The basic structures of the GAADT and CGAADT genetic algorithms for electrocardiogram signal processing are then presented. An additional chapter dealing with the applications of CGAADT in the construction of an adaptive filter on a high-performance platform using a Graphics Processing Unit (GPU) for electrocardiogram signal processing concludes this work.
