Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach - Image 1

£101.99

Academic Press Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach

Name: Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach
Brand: Academic Press
Price: 101.75 GBP
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Biomedical Engineering

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Description

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine learning and biomedical signal processing methods can be used in biomedical signal analysis. Different machine learning applications in biomedical signal analysis, including those for electrocardiogram, electroencephalogram and electromyogram are described in a practical and comprehensive way, helping readers with limited knowledge. Sections cover biomedical signals and machine learning techniques, biomedical signals, such as electroencephalogram (EEG), electromyogram (EMG) and electrocardiogram (ECG), different signal-processing techniques, signal de-noising, feature extraction and dimension reduction techniques, such as PCA, ICA, KPCA, MSPCA, entropy measures, and other statistical measures, and more. This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need a cogent resource on the most recent and promising machine learning techniques for biomedical signals analysis.

Product Specifications

Brand: Academic Press
Format: paperback
ASIN: 0128174447
Category: Books > Subjects > Health, Family & Lifestyle > Medical & Healthcare Practitioners > Allied Health Professions > Biomedical Engineering
Domain: Amazon UK
Release Date: 19 March 2019
Listed Since: 17 October 2018

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Academic Press Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach

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