Technology

A High-Performance Adaptive Filter Instantiated from the GAADT Algorithm for Electrocardiogram Signal Processing

A ReviewBy Andrilene Ferreira Maciel

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Length2h 55m

About this audiobook

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.

Artificial Intelligence

Audiobook details

GenreTechnology

Length2 hrs 55 mins

Narrated byListen with 1,000+ voices

FormateBook with Audio

Publish dateAug 27, 2025

LanguageEnglish

1Acknowledgments

2Preface

3CHAPTER 1 INTRODUCTION

4CHAPTER 2 GENETIC ALGORITHM

52.1 History and Concept

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62.2 Holland’s Genetic Algorithm

72.3 Summary and Conclusions

82.4 Proposed Exercises

9CHAPTER 3 GENETIC ALGORITHM BASED ON ABSTRACT DATA TYPES (GAADT)

103.1 Basic concepts

113.2 GAADT

123.3 Basic Types of GAADT

133.4 Genetic Operators GAADT

143.4.1 GAADT mathematical model

153.4.1 Environment In GAADT, the characteristics of an environment will dictate how chromosome populations will evolve. An environment A is an 8-tuple <P, ℙ, Rq, AFG, AFC, Tx,Σ, P0>, where:

163.4.2 The Algorithm

173.6 Proposed Exercise

18CHAPTER 4 BIOLOGICAL SIGNALS OF ELECTROCARDIOGRAM (ECG)

194.1 Fundamentals

204.1.1 Electrical Activity of the Heart

214.1.2 Anatomy of the Heart

224.1.3 Basic characteristics of the electrocardiogram

234.1.4 Cardiac Arrhythmias

244.1.5 Sinus Arrhythmia

254.1.6 Atrial Fibrillation

264.1.7 Atrial Flutter

274.2 Summary and Conclusions