Titlebook: Computational Intelligence and Biomedical Signal Processing; An Interdisciplinary Mitul Kumar Ahirwal,Anil Kumar,Girish Kumar Singh Book 20

狂熱文化

Computational Intelligence and Biomedical Signal ProcessingAn Interdisciplinary

洞穴

Biomedical Signals,in the analysis of human body. For this, bioelectric potential needs to be recorded digitally and processed through digital processing system. In this chapter, overview of signals and digital signal processing is provided. In general, all the real-world signals are analog in nature. Initially, these

權(quán)宜之計

Fundamentals of Adaptive Filters,ained clearly in a simple way. All the implementation details of LMS and NLMS algorithms for adaptive filter are also provided along with MatLab codes. This chapter provides a complete study of noise cancellation of EEG and ECG signals. These studies include dataset description, details about noise

fiscal

Swarm and Evolutionary Optimization Algorithm,ing of objective function, decision variables, and different solution approaches are also elaborated. Overview of swarm and evolutionary optimization algorithms has been provided with detailed explanation of genetic algorithm, artificial bee colony algorithm, and particle swarm optimization algorith

衍生

Prediction and Classification,linear regression examples that are easily and manually solved; with this, in-depth idea of regression is understandable for readers. In continuation to this, multiple linear regression is also explained. After this, the concept of classification has been explained through logistic regression. Compl

大漩渦

Chromatic

2191-8112 ssification techniques.Presents the fundamental signal proceThis book presents an interdisciplinary paradigms of computational intelligence techniques and biomedical signal processing. The computational intelligence techniques outlined in the book will help to develop various ways to enhance and uti

烤架

BOON

Xiaoli Fan,Chaoyi Zhao,Hong Luo,Wei ZhangECG) and electroencephalogram (EEG) signals are explained in detail with their generation process, recording, signal processing, and common problem. Real ECG and EEG signals also visualized that area taken from famous datasets. This chapter provides a good base for any beginner in the field of biomedical signal processing.

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