Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

Written By Abdulhamit Subasi
Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques
  • Publsiher : Academic Press
  • Release : 16 March 2019
  • ISBN : 0128176733
  • Pages : 456 pages
  • Rating : 4/5 from 21 reviews
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Read or download book entitled Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques written by Abdulhamit Subasi which was release on 16 March 2019, this book published by Academic Press. Available in PDF, EPUB and Kindle Format. Book excerpt: 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. Provides comprehensive knowledge in the application of machine learning tools in biomedical signal analysis for medical diagnostics, brain computer interface and man/machine interaction Explains how to apply machine learning techniques to EEG, ECG and EMG signals Gives basic knowledge on predictive modeling in biomedical time series and advanced knowledge in machine learning for biomedical time series

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques
  • Author : Abdulhamit Subasi
  • Publisher : Academic Press
  • Release Date : 2019-03-16
  • Total pages : 456
  • ISBN : 0128176733
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Summary : 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 ...

Practical Machine Learning for Data Analysis Using Python

Practical Machine Learning for Data Analysis Using Python
  • Author : Abdulhamit Subasi
  • Publisher : Academic Press
  • Release Date : 2020-06-05
  • Total pages : 534
  • ISBN : 0128176733
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Summary : Practical Machine Learning for Data Analysis Using Python is a problem solver’s guide for creating real-world intelligent systems. It provides a comprehensive approach with concepts, practices, hands-on examples, and sample code. The book teaches readers the vital skills required to understand and solve different problems with machine learning. It ...

Applications of Artificial Intelligence in Medical Imaging

Applications of Artificial Intelligence in Medical Imaging
  • Author : Abdulhamit Subasi
  • Publisher : Academic Press
  • Release Date : 2022-11-15
  • Total pages : 400
  • ISBN : 0128176733
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Summary : Applications of Artificial Intelligence in Medical Imaging provides the description of various biomedical image analysis in disease detection using AI that can be used to incorporate knowledge obtained from different medical imaging devices such as CT, X-ray, PET and ultrasound. The book discusses the use of AI for detection of ...

Practical Biomedical Signal Analysis Using MATLAB

Practical Biomedical Signal Analysis Using MATLAB
  • Author : Katarzyna J. Blinowska,Jarosław Żygierewicz
  • Publisher : CRC Press
  • Release Date : 2021-10-18
  • Total pages : 370
  • ISBN : 0128176733
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Summary : Covering the latest cutting-edge techniques in biomedical signal processing while presenting a coherent treatment of various signal processing methods and applications, this second edition of Practical Biomedical Signal Analysis Using MATLAB® also offers practical guidance on which procedures are appropriate for a given task and different types of data. It ...

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  • Author : A. Bakiya,K. Kamalanand,R. L. J. De Britto
  • Publisher : CRC Press
  • Release Date : 2021-04-16
  • Total pages : 112
  • ISBN : 0128176733
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Summary : The aim of Mechano-Electric Correlations in the Human Physiological System is to present the mechanical and electrical properties of human soft tissues and the mathematical models related to the evaluation of these properties in time, as well as their biomedical applications. This book also provides an overview of the bioelectric ...

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  • Publisher : CRC Press
  • Release Date : 2021-06-24
  • Total pages : 428
  • ISBN : 0128176733
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Summary : Brain and Behavior Computing offers insights into the functions of the human brain. This book provides an emphasis on brain and behavior computing with different modalities available such as signal processing, image processing, data sciences, statistics further it includes fundamental, mathematical model, algorithms, case studies, and future research scopes. It ...

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  • Publisher : AuthorHouse
  • Release Date : 2021-10-05
  • Total pages : 316
  • ISBN : 0128176733
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Summary : Health is regarded as one of the global challenges for mankind. Healthcare is a complex system that covers processes of diagnosis, treatment, and prevention of diseases. It constitutes a fundamental pillar of the modern society. Modern healthcare is technological healthcare. Technology is everywhere. This book focuses on twenty-one emerging technologies ...

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  • Publisher : CRC Press
  • Release Date : 2021-09-29
  • Total pages : 218
  • ISBN : 0128176733
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Summary : Disruptive Trends in Computer Aided Diagnosis collates novel techniques and methodologies in the domain of content based image classification and deep learning/machine learning techniques to design efficient computer aided diagnosis architecture. It is aimed to highlight new challenges and probable solutions in the domain of computer aided diagnosis to ...

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  • Author : Faisal Saeed,Fathey Mohammed,Fuad Ghaleb
  • Publisher : Springer Nature
  • Release Date : 2022-03-29
  • Total pages : 787
  • ISBN : 0128176733
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Summary : This book presents emerging trends in intelligent computing and informatics. This book presents the papers included in the proceedings of the 6th International Conference of Reliable Information and Communication Technology 2021 (IRICT 2021) that was held virtually, on Dec. 22-23, 2021. The main theme of the book is “Advances on Intelligent Informatics and ...

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Biomedical Engineering and its Applications in Healthcare
  • Author : Sudip Paul
  • Publisher : Springer Nature
  • Release Date : 2019-11-08
  • Total pages : 738
  • ISBN : 0128176733
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Summary : This book illustrates the significance of biomedical engineering in modern healthcare systems. Biomedical engineering plays an important role in a range of areas, from diagnosis and analysis to treatment and recovery and has entered the public consciousness through the proliferation of implantable medical devices, such as pacemakers and artificial hips, ...

Machine Learning in Bio Signal Analysis and Diagnostic Imaging

Machine Learning in Bio Signal Analysis and Diagnostic Imaging
  • Author : Nilanjan Dey,Surekha Borra,Amira S. Ashour,Fuqian Shi
  • Publisher : Academic Press
  • Release Date : 2018-11-30
  • Total pages : 345
  • ISBN : 0128176733
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Summary : Machine Learning in Bio-Signal Analysis and Diagnostic Imaging presents original research on the advanced analysis and classification techniques of biomedical signals and images that cover both supervised and unsupervised machine learning models, standards, algorithms, and their applications, along with the difficulties and challenges faced by healthcare professionals in analyzing biomedical ...

Statistics Data Mining and Machine Learning in Astronomy

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  • Author : Željko Ivezić,Andrew J. Connolly,Jacob T VanderPlas,Alexander Gray
  • Publisher : Princeton University Press
  • Release Date : 2014-01-12
  • Total pages : 560
  • ISBN : 0128176733
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Summary : As telescopes, detectors, and computers grow ever more powerful, the volume of data at the disposal of astronomers and astrophysicists will enter the petabyte domain, providing accurate measurements for billions of celestial objects. This book provides a comprehensive and accessible introduction to the cutting-edge statistical methods needed to efficiently analyze ...

InECCE2019

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  • Publisher : Springer Nature
  • Release Date : 2020-03-23
  • Total pages : 905
  • ISBN : 0128176733
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Summary : This book presents the proceedings of the 5th International Conference on Electrical, Control & Computer Engineering 2019, held in Kuantan, Pahang, Malaysia, on 29th July 2019. Consisting of two parts, it covers the conferences’ main foci: Part 1 discusses instrumentation, robotics and control, while Part 2 addresses electrical power systems. The book appeals to professionals, ...

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  • Publisher : Springer
  • Release Date : 2017-12-06
  • Total pages : 297
  • ISBN : 0128176733
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Summary : This volume presents the proceedings of ICIBEL 2017, organized by the Centre for Innovation in Medical Engineering (CIME) under Innovative Technology Research Cluster, University of Malaya. It was held in George Town, Penang, Malaysia, from 10-13 December 2017. The ICIBEL 2017 conference promotes the latest research and developments related to the integration of ...

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  • Author : Ervin Sejdic,Tiago H. Falk
  • Publisher : CRC Press
  • Release Date : 2018-07-04
  • Total pages : 624
  • ISBN : 0128176733
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Summary : Within the healthcare domain, big data is defined as any ``high volume, high diversity biological, clinical, environmental, and lifestyle information collected from single individuals to large cohorts, in relation to their health and wellness status, at one or several time points.'' Such data is crucial because within it lies ...