Skip to main content

Practical Guide For Biomedical Signals Analysis Using Machine Learning Techniques

In Order to Read Online or Download Practical Guide For Biomedical Signals Analysis Using Machine Learning Techniques Full eBooks in PDF, EPUB, Tuebl and Mobi you need to create a Free account. Get any books you like and read everywhere you want. Fast Download Speed ~ Commercial & Ad Free. We cannot guarantee that every book is in the library!

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques Book
Author : Abdulhamit Subasi
Publisher : Academic Press
Release : 2019-03-16
ISBN : 0128176733
Language : En, Es, Fr & De

GET BOOK

Book 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. 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 Machine Learning for Data Analysis Using Python

Practical Machine Learning for Data Analysis Using Python Book
Author : Abdulhamit Subasi
Publisher : Academic Press
Release : 2020-06-05
ISBN : 0128213809
Language : En, Es, Fr & De

GET BOOK

Book Description :

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 teaches machine learning techniques necessary to become a successful practitioner, through the presentation of real-world case studies in Python machine learning ecosystems. The book also focuses on building a foundation of machine learning knowledge to solve different real-world case studies across various fields, including biomedical signal analysis, healthcare, security, economics, and finance. Moreover, it covers a wide range of machine learning models, including regression, classification, and forecasting. The goal of the book is to help a broad range of readers, including IT professionals, analysts, developers, data scientists, engineers, and graduate students, to solve their own real-world problems. Offers a comprehensive overview of the application of machine learning tools in data analysis across a wide range of subject areas Teaches readers how to apply machine learning techniques to biomedical signals, financial data, and healthcare data Explores important classification and regression algorithms as well as other machine learning techniques Explains how to use Python to handle data extraction, manipulation, and exploration techniques, as well as how to visualize data spread across multiple dimensions and extract useful features

Mechano Electric Correlations in the Human Physiological System

Mechano Electric Correlations in the Human Physiological System Book
Author : A. Bakiya,K. Kamalanand,R. L. J. De Britto
Publisher : CRC Press
Release : 2021-04-16
ISBN : 1000374734
Language : En, Es, Fr & De

GET BOOK

Book Description :

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 signals of soft tissues from various parts of the human body. In addition, this book presents the basic dielectric and viscoelastic characteristics of soft tissues, an introduction to the measurement and characteristics of bioelectric signals and their relationship with the mechanical activity, electromyography and the correlation of electromyograms with the muscle activity in normal and certain clinical conditions. The authors also present a case study on the effect of lymphatic filariasis on the mechanical and electrical activity of the muscle. Features: Explains the basics of electrical and mechanical properties of soft tissues in time and frequency domain along with the mathematical models of soft tissue mechanics Explores the correlation of electrical properties with the mechanical properties of biological soft tissues using computational techniques Provides a detailed introduction to electrophysiological signals along with the types, applications, properties, problems and associated mathematical models Explains the electromechanics of muscles using electromyography recordings from various muscles of the human physiological system Presents a case study on the effect of lymphatic filariasis on the mechanical and electrical activity of the muscle Mechano-Electric Correlations in the Human Physiological System is intended for biomedical engineers, researchers and medical scientists as well graduate and undergraduate students working on the mechanical properties of soft tissues.

Brain and Behavior Computing

Brain and Behavior Computing Book
Author : Mridu Sahu,G R Sinha
Publisher : CRC Press
Release : 2021-06-24
ISBN : 1000387151
Language : En, Es, Fr & De

GET BOOK

Book Description :

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 further illustrates brain signal sources and how the brain signal can process, manipulate, and transform in different domains allowing researchers and professionals to extract information about the physiological condition of the brain. Emphasizes real challenges in brain signal processing for a variety of applications for analysis, classification, and clustering. Discusses data sciences and its applications in brain computing visualization. Covers all the most recent tools for analysing the brain and it’s working. Describes brain modeling and all possible machine learning methods and their uses. Augments the use of data mining and machine learning to brain computer interface (BCI) devices. Includes case studies and actual simulation examples. This book is aimed at researchers, professionals, and graduate students in image processing and computer vision, biomedical engineering, signal processing, and brain and behavior computing.

Disruptive Trends in Computer Aided Diagnosis

Disruptive Trends in Computer Aided Diagnosis Book
Author : Rik Das,Sudarshan Nandy,Siddhartha Bhattacharyya
Publisher : CRC Press
Release : 2021-09-29
ISBN : 1000414698
Language : En, Es, Fr & De

GET BOOK

Book Description :

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 leverage balancing of sustainable ecology. The volume focuses on designing efficient algorithms for proposing CAD systems to mitigate the challenges of critical illnesses at an early stage. State-of-the-art novel methods are explored for envisaging automated diagnosis systems thereby overriding the limitations due to lack of training data, sample annotation, region of interest identification, proper segmentation and so on. The assorted techniques addresses the challenges encountered in existing systems thereby facilitating accurate patient healthcare and diagnosis. Features: An integrated interdisciplinary approach to address complex computer aided diagnosis problems and limitations. Elucidates a rich summary of the state-of-the-art tools and techniques related to automated detection and diagnosis of life threatening diseases including pandemics. Machine learning and deep learning methodologies on evolving accurate and precise early detection and medical diagnosis systems. Information presented in an accessible way for students, researchers and medical practitioners. The volume would come to the benefit of both post-graduate students and aspiring researchers in the field of medical informatics, computer science and electronics and communication engineering. In addition, the volume is also intended to serve as a guiding factor for the medical practitioners and radiologists in accurate diagnosis of diseases.

Biomedical Engineering and its Applications in Healthcare

Biomedical Engineering and its Applications in Healthcare Book
Author : Sudip Paul
Publisher : Springer Nature
Release : 2019-11-08
ISBN : 9811337055
Language : En, Es, Fr & De

GET BOOK

Book Description :

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, as well as the more futuristic technologies such as stem cell engineering and 3-D printing of biological organs. Starting with an introduction to biomedical engineering, the book then discusses various tools and techniques for medical diagnostics and treatment and recent advances. It also provides comprehensive and integrated information on rehabilitation engineering, including the design of artificial body parts, and the underlying principles, and standards. It also presents a conceptual framework to clarify the relationship between ethical policies in medical practice and philosophical moral reasoning. Lastly, the book highlights a number of challenges associated with modern healthcare technologies.

Machine Learning in Bio Signal Analysis and Diagnostic Imaging

Machine Learning in Bio Signal Analysis and Diagnostic Imaging Book
Author : Nilanjan Dey,Surekha Borra,Amira S. Ashour,Fuqian Shi
Publisher : Academic Press
Release : 2018-11-30
ISBN : 012816087X
Language : En, Es, Fr & De

GET BOOK

Book Description :

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 signals and diagnostic images. These intelligent recommender systems are designed based on machine learning, soft computing, computer vision, artificial intelligence and data mining techniques. Classification and clustering techniques, such as PCA, SVM, techniques, Naive Bayes, Neural Network, Decision trees, and Association Rule Mining are among the approaches presented. The design of high accuracy decision support systems assists and eases the job of healthcare practitioners and suits a variety of applications. Integrating Machine Learning (ML) technology with human visual psychometrics helps to meet the demands of radiologists in improving the efficiency and quality of diagnosis in dealing with unique and complex diseases in real time by reducing human errors and allowing fast and rigorous analysis. The book's target audience includes professors and students in biomedical engineering and medical schools, researchers and engineers. Examines a variety of machine learning techniques applied to bio-signal analysis and diagnostic imaging Discusses various methods of using intelligent systems based on machine learning, soft computing, computer vision, artificial intelligence and data mining Covers the most recent research on machine learning in imaging analysis and includes applications to a number of domains

Applied Computing

Applied Computing Book
Author : Suresh Manandhar,Jim Austin,Uday Desai,Yoshio Oyanagi,Asoke Talukder
Publisher : Springer
Release : 2005-01-11
ISBN : 3540301763
Language : En, Es, Fr & De

GET BOOK

Book Description :

The focus of the Asian Applied Computing Conference (AACC) is primarily to bring the research in computer science closer to practical applications. The conference is aimed primarily at topics that have immediate practical bene?ts. By hosting the conf- ence in the developingnations in Asia we aim to provide a forum for engagingboth the academic and the commercial sectors in that region. The ?rst conference “Information Technology Prospects and Challenges” was held in May 2003 in Kathmandu, Nepal. Thisyear theconferencenamewas changedto “Asian AppliedComputingConference” to re?ect both the regional- and the application-oriented nature of the conference. AACC is planned to be a themed conference with a primary focus on a small set of topics although other relevant applied topics will be considered. The theme in AACC 2004 was on the following topics: systems and architectures, mobile and ubiquitous computing, soft computing, man machine interfaces,and innovative applications for the developing world. AACC 2004 attracted 184 paper submissions from around the world, making the reviewing and the selection process tough and time consuming. The selected papers covered a wide range of topics: genetic algorithms and soft computing; scheduling, - timization andconstraintsolving; neuralnetworksandsupportvectormachines;natural language processing and information retrieval; speech and signal processing; networks and mobile computing; parallel, grid and high-performance computing; innovative - plications for the developing world; cryptography and security; and machine lea- ing. Papers were primarily judged on originality, presentation, relevance and quality of work. Papers that had clearly demonstrated results were given preference.

Machine Learning Used in Biomedical Computing and Intelligence Healthcare Volume I

Machine Learning Used in Biomedical Computing and Intelligence Healthcare  Volume I Book
Author : Honghao Gao,Ying Li,Zijian Zhang,Wenbing Zhao
Publisher : Frontiers Media SA
Release : 2021-06-17
ISBN : 2889669327
Language : En, Es, Fr & De

GET BOOK

Book Description :

Download Machine Learning Used in Biomedical Computing and Intelligence Healthcare Volume I book written by Honghao Gao,Ying Li,Zijian Zhang,Wenbing Zhao, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Statistics Data Mining and Machine Learning in Astronomy

Statistics  Data Mining  and Machine Learning in Astronomy Book
Author : Željko Ivezić,Andrew J. Connolly,Jacob T. VanderPlas,Alexander Gray
Publisher : Princeton University Press
Release : 2019-12-03
ISBN : 0691198306
Language : En, Es, Fr & De

GET BOOK

Book Description :

Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the Large Synoptic Survey Telescope. Now fully updated, it presents a wealth of practical analysis problems, evaluates the techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. Python code and sample data sets are provided for all applications described in the book. The supporting data sets have been carefully selected from contemporary astronomical surveys and are easy to download and use. The accompanying Python code is publicly available, well documented, and follows uniform coding standards. Together, the data sets and code enable readers to reproduce all the figures and examples, engage with the different methods, and adapt them to their own fields of interest. An accessible textbook for students and an indispensable reference for researchers, this updated edition features new sections on deep learning methods, hierarchical Bayes modeling, and approximate Bayesian computation. The chapters have been revised throughout and the astroML code has been brought completely up to date. Fully revised and expanded Describes the most useful statistical and data-mining methods for extracting knowledge from huge and complex astronomical data sets Features real-world data sets from astronomical surveys Uses a freely available Python codebase throughout Ideal for graduate students, advanced undergraduates, and working astronomers

InECCE2019

InECCE2019 Book
Author : Ahmad Nor Kasruddin Nasir,Mohd Ashraf Ahmad,Muhammad Sharfi Najib,Yasmin Abdul Wahab,Nur Aqilah Othman,Nor Maniha Abd Ghani,Addie Irawan,Sabira Khatun,Raja Mohd Taufika Raja Ismail,Mohd Mawardi Saari,Mohd Razali Daud,Ahmad Afif Mohd Faudzi
Publisher : Springer Nature
Release : 2020-03-23
ISBN : 9811523177
Language : En, Es, Fr & De

GET BOOK

Book Description :

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, scientists and researchers with experience in industry.The conference provided a platform for professionals, scientists and researchers with experience in industry.

2nd International Conference for Innovation in Biomedical Engineering and Life Sciences

2nd International Conference for Innovation in Biomedical Engineering and Life Sciences Book
Author : Fatimah Ibrahim,Juliana Usman,Mohd Yazed Ahmad,Norhamizan Hamzah,Swe Jyan Teh
Publisher : Springer
Release : 2017-12-06
ISBN : 9811075549
Language : En, Es, Fr & De

GET BOOK

Book Description :

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 the Engineering technology in medical fields and life sciences. This includes the latest innovations, research trends and concerns, challenges and adopted solution in the field of medical engineering and life sciences.

Nature Inspired Intelligent Techniques for Solving Biomedical Engineering Problems

Nature Inspired Intelligent Techniques for Solving Biomedical Engineering Problems Book
Author : Kose, Utku,Guraksin, Gur Emre,Deperlioglu, Omer
Publisher : IGI Global
Release : 2018-03-31
ISBN : 1522547703
Language : En, Es, Fr & De

GET BOOK

Book Description :

Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress and novel opportunities for biomedical engineering. Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems is a pivotal reference source for emerging scholarly research on trends and techniques in the utilization of nature-inspired approaches in biomedical engineering. Featuring extensive coverage on relevant areas such as artificial intelligence, clinical decision support systems, and swarm intelligence, this publication is an ideal resource for medical practitioners, professionals, students, engineers, and researchers interested in the latest developments in biomedical technologies.

Advanced State Space Methods for Neural and Clinical Data

Advanced State Space Methods for Neural and Clinical Data Book
Author : Zhe Chen
Publisher : Cambridge University Press
Release : 2015-10-15
ISBN : 1316352218
Language : En, Es, Fr & De

GET BOOK

Book Description :

This authoritative work provides an in-depth treatment of state space methods, with a range of applications in neural and clinical data. Advanced and state-of-the-art research topics are detailed, including topics in state space analyses, maximum likelihood methods, variational Bayes, sequential Monte Carlo, Markov chain Monte Carlo, nonparametric Bayesian, and deep learning methods. Details are provided on practical applications in neural and clinical data, whether this is characterising time series data from neural spike trains recorded from the rat hippocampus, the primate motor cortex, or the human EEG, MEG or fMRI, or physiological measurements of heartbeats or blood pressures. With real-world case studies of neuroscience experiments and clinical data sets, and written by expert authors from across the field, this is an ideal resource for anyone working in neuroscience and physiological data analysis.

Data Analytics and Applications of the Wearable Sensors in Healthcare

Data Analytics and Applications of the Wearable Sensors in Healthcare Book
Author : Shabbir Syed-Abdul,Luis Fernandez Luque,Pei-Yun Sabrina Hsueh,Juan M. García-Gomez,Begoña Garcia-Zapirain
Publisher : MDPI
Release : 2020-06-17
ISBN : 3039363506
Language : En, Es, Fr & De

GET BOOK

Book Description :

This book provides a collection of comprehensive research articles on data analytics and applications of wearable devices in healthcare. This Special Issue presents 28 research studies from 137 authors representing 37 institutions from 19 countries. To facilitate the understanding of the research articles, we have organized the book to show various aspects covered in this field, such as eHealth, technology-integrated research, prediction models, rehabilitation studies, prototype systems, community health studies, ergonomics design systems, technology acceptance model evaluation studies, telemonitoring systems, warning systems, application of sensors in sports studies, clinical systems, feasibility studies, geographical location based systems, tracking systems, observational studies, risk assessment studies, human activity recognition systems, impact measurement systems, and a systematic review. We would like to take this opportunity to invite high quality research articles for our next Special Issue entitled “Digital Health and Smart Sensors for Better Management of Cancer and Chronic Diseases” as a part of Sensors journal.

Pattern Recognition Techniques Applied to Biomedical Problems

Pattern Recognition Techniques Applied to Biomedical Problems Book
Author : Martha Refugio Ortiz-Posadas
Publisher : Springer Nature
Release : 2020-02-29
ISBN : 3030380211
Language : En, Es, Fr & De

GET BOOK

Book Description :

This book covers pattern recognition techniques applied to various areas of biomedicine, including disease diagnosis and prognosis, and several problems of classification, with a special focus on—but not limited to—pattern recognition modeling of biomedical signals and images. Multidisciplinary by definition, the book’s topic blends computing, mathematics and other technical sciences towards the development of computational tools and methodologies that can be applied to pattern recognition processes. In this work, the efficacy of such methods and techniques for processing medical information is analyzed and compared, and auxiliary criteria for determining the correct diagnosis and treatment strategies are recommended and applied. Researchers in applied mathematics, the computer sciences, engineering and related fields with a focus on medical applications will benefit from this book, as well as professionals with a special interest in state-of-the-art pattern recognition techniques as applied to biomedicine.

World Congress on Medical Physics and Biomedical Engineering 2018

World Congress on Medical Physics and Biomedical Engineering 2018 Book
Author : Lenka Lhotska,Lucie Sukupova,Igor Lacković,Geoffrey S. Ibbott
Publisher : Springer
Release : 2018-05-29
ISBN : 9811090386
Language : En, Es, Fr & De

GET BOOK

Book Description :

This book (vol. 2) presents the proceedings of the IUPESM World Congress on Biomedical Engineering and Medical Physics, a triennially organized joint meeting of medical physicists, biomedical engineers and adjoining health care professionals. Besides the purely scientific and technological topics, the 2018 Congress will also focus on other aspects of professional involvement in health care, such as education and training, accreditation and certification, health technology assessment and patient safety. The IUPESM meeting is an important forum for medical physicists and biomedical engineers in medicine and healthcare learn and share knowledge, and discuss the latest research outcomes and technological advancements as well as new ideas in both medical physics and biomedical engineering field.

Digital Health Technology for Better Aging

Digital Health Technology for Better Aging Book
Author : Giuseppe Andreoni,Cinzia Mambretti
Publisher : Springer Nature
Release : 2021-08-01
ISBN : 3030726630
Language : En, Es, Fr & De

GET BOOK

Book Description :

This book describes the multidisciplinary approach needed to tackle better aging. Aging populations are one of the 21st century’s biggest challenges. National health systems are forced to adapt in order to provide adequate and affordable care. Innovation, driven by digital technology, is a key to improving quality of life and encouraging healthy living. Well-designed technology keeps people empowered, independent, and mobile; however, despite widespread adoption of ICT in day-to-day life, digital health technologies have yet to catch on. To this end, technology needs to be effective, usable, cheap, and designed to ensure the security of the managed data. In the era of mHealth, mobile technology, and social design, this book describes, in six sections, the collaboration of polytechnic know-how and social science and health sectors in the creation of a system for encouraging people to engage in healthy behavior and achieve a better quality of life.

Wireless Communication Networks and Internet of Things

Wireless Communication Networks and Internet of Things Book
Author : Adamu Murtala Zungeru,S Subashini,P Vetrivelan
Publisher : Springer
Release : 2018-05-09
ISBN : 981108663X
Language : En, Es, Fr & De

GET BOOK

Book Description :

This book is a collection of papers from international experts presented at International Conference on NextGen Electronic Technologies (ICNETS2-2016). ICNETS2 encompassed six symposia covering all aspects of electronics and communications domains, including relevant nano/micro materials and devices. Presenting recent research on wireless communication networks and Internet of Things, the book will prove useful to researchers, professionals and students working in the core areas of electronics and their applications, especially in signal processing, embedded systems and networking.

EEG Based Diagnosis of Alzheimer Disease

EEG Based Diagnosis of Alzheimer Disease Book
Author : Nilesh Kulkarni,Vinayak Bairagi
Publisher : Academic Press
Release : 2018-04-13
ISBN : 0128153938
Language : En, Es, Fr & De

GET BOOK

Book Description :

EEG-Based Diagnosis of Alzheimer Disease: A Review and Novel Approaches for Feature Extraction and Classification Techniques provides a practical and easy-to-use guide for researchers in EEG signal processing techniques, Alzheimer’s disease, and dementia diagnostics. The book examines different features of EEG signals used to properly diagnose Alzheimer’s Disease early, presenting new and innovative results in the extraction and classification of Alzheimer’s Disease using EEG signals. This book brings together the use of different EEG features, such as linear and nonlinear features, which play a significant role in diagnosing Alzheimer’s Disease. Includes the mathematical models and rigorous analysis of various classifiers and machine learning algorithms from a perspective of clinical deployment Covers the history of EEG signals and their measurement and recording, along with their uses in clinical diagnostics Analyzes spectral, wavelet, complexity and other features of early and efficient Alzheimer’s Disease diagnostics Explores support vector machine-based classification to increase accuracy