Machine Learning In Bio Signal Analysis And Diagnostic Imaging

Machine Learning In Bio Signal Analysis And Diagnostic Imaging Book PDF
✏Book Title : Machine Learning in Bio Signal Analysis and Diagnostic Imaging
✏Author : Nilanjan Dey
✏Publisher : Academic Press
✏Release Date : 2018-11-30
✏Pages : 345
✏ISBN : 9780128160879
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Machine Learning in Bio Signal Analysis and Diagnostic Imaging Book 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 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

Machine Learning And Medical Imaging Book PDF
✏Book Title : Machine Learning and Medical Imaging
✏Author : Guorong Wu
✏Publisher : Academic Press
✏Release Date : 2016-08-11
✏Pages : 512
✏ISBN : 9780128041147
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Machine Learning and Medical Imaging Book Summary : Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, including not only classical probabilistic modeling and learning methods, but also recent breakthroughs in deep learning, sparse representation/coding, and big data hashing. In the second part leading research groups around the world present a wide spectrum of machine learning methods with application to different medical imaging modalities, clinical domains, and organs. The biomedical imaging modalities include ultrasound, magnetic resonance imaging (MRI), computed tomography (CT), histology, and microscopy images. The targeted organs span the lung, liver, brain, and prostate, while there is also a treatment of examining genetic associations. Machine Learning and Medical Imaging is an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians. Demonstrates the application of cutting-edge machine learning techniques to medical imaging problems Covers an array of medical imaging applications including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics Features self-contained chapters with a thorough literature review Assesses the development of future machine learning techniques and the further application of existing techniques

Sensors For Health Monitoring Book PDF
✏Book Title : Sensors for Health Monitoring
✏Author : Nilanjan Dey
✏Publisher : Academic Press
✏Release Date : 2019-09-09
✏Pages : 322
✏ISBN : 9780128193624
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Sensors for Health Monitoring Book Summary : Sensors for Health Monitoring discusses the characteristics of U-Healthcare systems in different domains, providing a foundation for working professionals and undergraduate and postgraduate students. The book provides information and advice on how to choose the best sensors for a U-Healthcare system, advises and guides readers on how to overcome challenges relating to data acquisition and signal processing, and presents comprehensive coverage of up-to-date requirements in hardware, communication and calculation for next-generation uHealth systems. It then compares new technological and technical trends and discusses how they address expected u-Health requirements. In addition, detailed information on system operations is presented and challenges in ubiquitous computing are highlighted. The book not only helps beginners with a holistic approach toward understanding u-Health systems, but also presents researchers with the technological trends and design challenges they may face when designing such systems. Presents an outstanding update on the use of U-Health data analysis and management tools in different applications, highlighting sensor systems Highlights Internet of Things enabled U-Healthcare Covers different data transmission techniques, applications and challenges with extensive case studies for U-Healthcare systems

Intelligent Decision Support Systems Book PDF
✏Book Title : Intelligent Decision Support Systems
✏Author : Surekha Borra
✏Publisher : Walter de Gruyter GmbH & Co KG
✏Release Date : 2019-10-21
✏Pages : 193
✏ISBN : 9783110621105
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Intelligent Decision Support Systems Book Summary : Intelligent prediction and decision support systems are based on signal processing, computer vision (CV), machine learning (ML), software engineering (SE), knowledge based systems (KBS), data mining, artificial intelligence (AI) and include several systems developed from the study of expert systems (ES), genetic algorithms (GA), artificial neural networks (ANN) and fuzzy-logic systems The use of automatic decision support systems in design and manufacturing industry, healthcare and commercial software development systems has the following benifits: Cost savings in companies, due to employment of expert system technology. Fast decision making, completion of projects in time and development of new products. Improvement in decision making capability and quality. Usage of Knowledge database and Preservation of expertise of individuals Eases complex decision problems. Ex: Diagnosis in Healthcare To address the issues and challenges related to development, implementation and application of automatic and intelligent prediction and decision support systems in domains such as manufacturing, healthcare and software product design, development and optimization, this book aims to collect and publish wide ranges of quality articles such as original research contributions, methodological reviews, survey papers, case studies and/or reports covering intelligent systems, expert prediction systems, evaluation models, decision support systems and Computer Aided Diagnosis (CAD).

Machine Intelligence And Signal Analysis Book PDF
✏Book Title : Machine Intelligence and Signal Analysis
✏Author : M. Tanveer
✏Publisher : Springer
✏Release Date : 2018-08-07
✏Pages : 767
✏ISBN : 9789811309236
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Machine Intelligence and Signal Analysis Book Summary : The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square SVMs (LSSVMs) and their variants; and covers the topics of signal analysis such as: biomedical signals including electroencephalogram (EEG), magnetoencephalography (MEG), electrocardiogram (ECG) and electromyogram (EMG) as well as other signals such as speech signals, communication signals, vibration signals, image, and video. Further, it analyzes normal and abnormal categories of real-world signals, for example normal and epileptic EEG signals using numerous classification techniques. The book is envisioned for researchers and graduate students in Computer Science and Engineering, Electrical Engineering, Applied Mathematics, and Biomedical Signal Processing.

Handbook Of Research On Advanced Techniques In Diagnostic Imaging And Biomedical Applications Book PDF
✏Book Title : Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications
✏Author : Exarchos, Themis P.
✏Publisher : IGI Global
✏Release Date : 2009-04-30
✏Pages : 598
✏ISBN : 9781605663159
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications Book Summary : "This book includes state-of-the-art methodologies that introduce biomedical imaging in decision support systems and their applications in clinical practice"--Provided by publisher.

Practical Guide For Biomedical Signals Analysis Using Machine Learning Techniques Book PDF
✏Book Title : Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques
✏Author : Abdulhamit Subasi
✏Publisher : Academic Press
✏Release Date : 2019-03-16
✏Pages : 456
✏ISBN : 9780128176733
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques Book 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 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

Signal Processing And Machine Learning For Biomedical Big Data Book PDF
✏Book Title : Signal Processing and Machine Learning for Biomedical Big Data
✏Author : Ervin Sejdic
✏Publisher : CRC Press
✏Release Date : 2018-07-04
✏Pages : 606
✏ISBN : 9781351061216
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Signal Processing and Machine Learning for Biomedical Big Data Book Summary : This will be a comprehensive, multi-contributed reference work that will detail the latest research and developments in biomedical signal processing related to big data medical analysis. It will describe signal processing, machine learning, and parallel computing strategies to revolutionize the world of medical analytics and diagnosis as presented by world class researchers and experts in this important field. The chapters will desribe tools that can be used by biomedical and clinical practitioners as well as industry professionals. It will give signal processing researchers a glimpse into the issues faced with Big Medical Data.

Intelligent Data Analytics For Decision Support Systems In Hazard Mitigation Book PDF
✏Book Title : Intelligent Data Analytics for Decision Support Systems in Hazard Mitigation
✏Author : Ravinesh C. Deo
✏Publisher : Springer Nature
✏Release Date : 2020-09-09
✏Pages : 469
✏ISBN : 9789811557729
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Intelligent Data Analytics for Decision Support Systems in Hazard Mitigation Book Summary : This book highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and forecasting hydro-meteorological variables. Predictive modelling is a consolidated discipline used to forewarn the possibility of natural hazards. In this book, experts from numerical weather forecast, meteorology, hydrology, engineering, agriculture, economics, and disaster policy-making contribute towards an interdisciplinary framework to construct potent models for hazard risk mitigation. The book will help advance the state of knowledge of artificial intelligence in decision systems to aid disaster management and policy-making. This book can be a useful reference for graduate student, academics, practicing scientists and professionals of disaster management, artificial intelligence, and environmental sciences.

Signal Processing In Medicine And Biology Book PDF
✏Book Title : Signal Processing in Medicine and Biology
✏Author : Iyad Obeid
✏Publisher : Springer Nature
✏Release Date : 2020-03-16
✏Pages : 281
✏ISBN : 9783030368449
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Signal Processing in Medicine and Biology Book Summary : This book covers emerging trends in signal processing research and biomedical engineering, exploring the ways in which signal processing plays a vital role in applications ranging from medical electronics to data mining of electronic medical records. Topics covered include statistical modeling of electroencephalograph data for predicting or detecting seizure, stroke, or Parkinson’s; machine learning methods and their application to biomedical problems, which is often poorly understood, even within the scientific community; signal analysis; medical imaging; and machine learning, data mining, and classification. The book features tutorials and examples of successful applications that will appeal to a wide range of professionals and researchers interested in applications of signal processing, medicine, and biology.

Classification And Clustering In Biomedical Signal Processing Book PDF
✏Book Title : Classification and Clustering in Biomedical Signal Processing
✏Author : Dey, Nilanjan
✏Publisher : IGI Global
✏Release Date : 2016-04-07
✏Pages : 463
✏ISBN : 9781522501411
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Classification and Clustering in Biomedical Signal Processing Book Summary : Advanced techniques in image processing have led to many innovations supporting the medical field, especially in the area of disease diagnosis. Biomedical imaging is an essential part of early disease detection and often considered a first step in the proper management of medical pathological conditions. Classification and Clustering in Biomedical Signal Processing focuses on existing and proposed methods for medical imaging, signal processing, and analysis for the purposes of diagnosing and monitoring patient conditions. Featuring the most recent empirical research findings in the areas of signal processing for biomedical applications with an emphasis on classification and clustering techniques, this essential publication is designed for use by medical professionals, IT developers, and advanced-level graduate students.

📒Medical Imaging ✍ K.C. Santosh

Medical Imaging Book PDF
✏Book Title : Medical Imaging
✏Author : K.C. Santosh
✏Publisher : CRC Press
✏Release Date : 2019-08-20
✏Pages : 238
✏ISBN : 9780429642494
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Medical Imaging Book Summary : The book discusses varied topics pertaining to advanced or up-to-date techniques in medical imaging using artificial intelligence (AI), image recognition (IR) and machine learning (ML) algorithms/techniques. Further, coverage includes analysis of chest radiographs (chest x-rays) via stacked generalization models, TB type detection using slice separation approach, brain tumor image segmentation via deep learning, mammogram mass separation, epileptic seizures, breast ultrasound images, knee joint x-ray images, bone fracture detection and labeling, and diabetic retinopathy. It also reviews 3D imaging in biomedical applications and pathological medical imaging.

Biomedical Image Analysis And Machine Learning Technologies Applications And Techniques Book PDF
✏Book Title : Biomedical Image Analysis and Machine Learning Technologies Applications and Techniques
✏Author : Gonzalez, Fabio A.
✏Publisher : IGI Global
✏Release Date : 2009-12-31
✏Pages : 390
✏ISBN : 9781605669571
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Biomedical Image Analysis and Machine Learning Technologies Applications and Techniques Book Summary : Medical images are at the base of many routine clinical decisions and their influence continues to increase in many fields of medicine. Since the last decade, computers have become an invaluable tool for supporting medical image acquisition, processing, organization and analysis. Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques provides a panorama of the current boundary between biomedical complexity coming from the medical image context and the multiple techniques which have been used for solving many of these problems. This innovative publication serves as a leading industry reference as well as a source of creative ideas for applications of medical issues.

📒Bio Inspired Neurocomputing ✍ Akash Kumar Bhoi

Bio Inspired Neurocomputing Book PDF
✏Book Title : Bio inspired Neurocomputing
✏Author : Akash Kumar Bhoi
✏Publisher : Springer Nature
✏Release Date : 2020-07-21
✏Pages : 427
✏ISBN : 9789811554957
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Bio inspired Neurocomputing Book Summary : This book covers the latest technological advances in neuro-computational intelligence in biological processes where the primary focus is on biologically inspired neuro-computational techniques. The theoretical and practical aspects of biomedical neural computing, brain-inspired computing, bio-computational models, artificial intelligence (AI) and machine learning (ML) approaches in biomedical data analytics are covered along with their qualitative and quantitative features. The contents cover numerous computational applications, methodologies and emerging challenges in the field of bio-soft computing and bio-signal processing. The authors have taken meticulous care in describing the fundamental concepts, identifying the research gap and highlighting the problems with the strategical computational approaches to address the ongoing challenges in bio-inspired models and algorithms. Given the range of topics covered, this book can be a valuable resource for students, researchers as well as practitioners interested in the rapidly evolving field of neurocomputing and biomedical data analytics.

Deep Learning For Data Analytics Book PDF
✏Book Title : Deep Learning for Data Analytics
✏Author : Himansu Das
✏Publisher : Academic Press
✏Release Date : 2020-05-29
✏Pages : 218
✏ISBN : 9780128226087
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Deep Learning for Data Analytics Book Summary : Deep learning, a branch of Artificial Intelligence and machine learning, has led to new approaches to solving problems in a variety of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications and Challenges provides readers with a focused approach for the design and implementation of deep learning concepts using data analytics techniques in large scale environments. Deep learning algorithms are based on artificial neural network models to cascade multiple layers of nonlinear processing, which aids in feature extraction and learning in supervised and unsupervised ways, including classification and pattern analysis. Deep learning transforms data through a cascade of layers, helping systems analyze and process complex data sets. Deep learning algorithms extract high level complex data and process these complex sets to relatively simpler ideas formulated in the preceding level of the hierarchy. The authors of this book focus on suitable data analytics methods to solve complex real world problems such as medical image recognition, biomedical engineering, and object tracking using deep learning methodologies. The book provides a pragmatic direction for researchers who wish to analyze large volumes of data for business, engineering, and biomedical applications. Deep learning architectures including deep neural networks, recurrent neural networks, and deep belief networks can be used to help resolve problems in applications such as natural language processing, speech recognition, computer vision, bioinoformatics, audio recognition, drug design, and medical image analysis. Presents the latest advances in Deep Learning for data analytics and biomedical engineering applications. Discusses Deep Learning techniques as they are being applied in the real world of biomedical engineering and data science, including Deep Learning networks, deep feature learning, deep learning toolboxes, performance evaluation, Deep Learning optimization, deep auto-encoders, and deep neural networks Provides readers with an introduction to Deep Learning, along with coverage of deep belief networks, convolutional neural networks, Restricted Boltzmann Machines, data analytics basics, enterprise data science, predictive analysis, optimization for Deep Learning, and feature selection using Deep Learning

Signal And Image Processing Techniques For The Development Of Intelligent Healthcare Systems Book PDF
✏Book Title : Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems
✏Author : E. Priya
✏Publisher : Springer
✏Release Date : 2020-10-23
✏Pages : 283
✏ISBN : 9811561400
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems Book Summary : This book comprehensively reviews the various automated and semi-automated signal and image processing techniques, as well as deep-learning-based image analysis techniques, used in healthcare diagnostics. It highlights a range of data pre-processing methods used in signal processing for effective data mining in remote healthcare, and discusses pre-processing using filter techniques, noise removal, and contrast-enhanced methods for improving image quality. The book discusses the status quo of artificial intelligence in medical applications, as well as its future. Further, it offers a glimpse of feature extraction methods for reducing dimensionality and extracting discriminatory information hidden in biomedical signals. Given its scope, the book is intended for academics, researchers and practitioners interested in the latest real-world technological innovations.

Classification Techniques For Medical Image Analysis And Computer Aided Diagnosis Book PDF
✏Book Title : Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis
✏Author : Nilanjan Dey
✏Publisher : Academic Press
✏Release Date : 2019-07-31
✏Pages : 218
✏ISBN : 9780128180051
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis Book Summary : Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply classification techniques to a wide variety of clinical applications that are appropriate for researchers and biomedical engineers in the areas of machine learning, deep learning, data analysis, data management and computer-aided diagnosis (CAD) systems design. The book covers several complex image classification problems using pattern recognition methods, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Bayesian Networks (BN) and deep learning. Further, numerous data mining techniques are discussed, as they have proven to be good classifiers for medical images. Examines the methodology of classification of medical images that covers the taxonomy of both supervised and unsupervised models, algorithms, applications and challenges Discusses recent advances in Artificial Neural Networks, machine learning, and deep learning in clinical applications Introduces several techniques for medical image processing and analysis for CAD systems design

Bioinformatics And Biomedical Engineering Book PDF
✏Book Title : Bioinformatics and Biomedical Engineering
✏Author : Ignacio Rojas
✏Publisher : Springer Nature
✏Release Date : 2020
✏Pages : 837
✏ISBN : 9783030453855
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Bioinformatics and Biomedical Engineering Book Summary : This volume constitutes the proceedings of the 8th International Work-Conference on IWBBIO 2020, held in Granada, Spain, in May 2020. The total of 73papers presented in the proceedings, was carefully reviewed and selected from 241 submissions. The papers are organized in topical sections as follows: Biomarker Identification; Biomedical Engineering; Biomedical Signal Analysis; Bio-Nanotechnology; Computational Approaches for Drug Design and Personalized Medicine; Computational Proteomics and Protein-Protein Interactions; Data Mining from UV/VIS/NIR Imaging and Spectrophotometry; E-Health Technology, Services and Applications; Evolving Towards Digital Twins in Healthcare (EDITH); High Performance in Bioinformatics; High-Throughput Genomics: Bioinformatic Tools and Medical Applications; Machine Learning in Bioinformatics; Medical Image Processing; Simulation and Visualization of Biological Systems. --

Recent Trends In Image And Signal Processing In Computer Vision Book PDF
✏Book Title : Recent Trends in Image and Signal Processing in Computer Vision
✏Author : Shruti Jain
✏Publisher : Springer Nature
✏Release Date : 2020-03-04
✏Pages : 284
✏ISBN : 9789811527401
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Recent Trends in Image and Signal Processing in Computer Vision Book Summary : This book highlights recent advances and emerging technologies that utilize computational intelligence in signal processing, computing, imaging science, artificial intelligence, and their applications. It covers all branches of artificial intelligence and machine learning that are based on computation at some level, e.g. artificial neural networks, evolutionary algorithms, fuzzy systems, and automatic medical identification systems. Exploring recent trends in research and applications, the book offers a valuable resource for professors, researchers, and engineers alike.

📒Classification In Bioapps ✍ Nilanjan Dey

Classification In Bioapps Book PDF
✏Book Title : Classification in BioApps
✏Author : Nilanjan Dey
✏Publisher : Springer
✏Release Date : 2017-11-10
✏Pages : 447
✏ISBN : 9783319659817
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Classification in BioApps Book Summary : This book on classification in biomedical image applications presents original and valuable research work on advances in this field, which covers the taxonomy of both supervised and unsupervised models, standards, algorithms, applications and challenges. Further, the book highlights recent scientific research on artificial neural networks in biomedical applications, addressing the fundamentals of artificial neural networks, support vector machines and other advanced classifiers, as well as their design and optimization. In addition to exploring recent endeavours in the multidisciplinary domain of sensors, the book introduces readers to basic definitions and features, signal filters and processing, biomedical sensors and automation of biomeasurement systems. The target audience includes researchers and students at engineering and medical schools, researchers and engineers in the biomedical industry, medical doctors and healthcare professionals.

Deep Learning Techniques For Biomedical And Health Informatics Book PDF
✏Book Title : Deep Learning Techniques for Biomedical and Health Informatics
✏Author : Sujata Dash
✏Publisher : Springer Nature
✏Release Date : 2019-11-14
✏Pages : 383
✏ISBN : 9783030339661
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Deep Learning Techniques for Biomedical and Health Informatics Book Summary : This book presents a collection of state-of-the-art approaches for deep-learning-based biomedical and health-related applications. The aim of healthcare informatics is to ensure high-quality, efficient health care, and better treatment and quality of life by efficiently analyzing abundant biomedical and healthcare data, including patient data and electronic health records (EHRs), as well as lifestyle problems. In the past, it was common to have a domain expert to develop a model for biomedical or health care applications; however, recent advances in the representation of learning algorithms (deep learning techniques) make it possible to automatically recognize the patterns and represent the given data for the development of such model. This book allows new researchers and practitioners working in the field to quickly understand the best-performing methods. It also enables them to compare different approaches and carry forward their research in an important area that has a direct impact on improving the human life and health. It is intended for researchers, academics, industry professionals, and those at technical institutes and R&D organizations, as well as students working in the fields of machine learning, deep learning, biomedical engineering, health informatics, and related fields.

New Trends In Computational Vision And Bio Inspired Computing Book PDF
✏Book Title : New Trends in Computational Vision and Bio inspired Computing
✏Author : S. Smys
✏Publisher : Springer Nature
✏Release Date :
✏Pages :
✏ISBN : 9783030418625
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏New Trends in Computational Vision and Bio inspired Computing Book Summary :

Acoustic Sensors For Biomedical Applications Book PDF
✏Book Title : Acoustic Sensors for Biomedical Applications
✏Author : Nilanjan Dey
✏Publisher : Springer
✏Release Date : 2018-07-20
✏Pages : 55
✏ISBN : 9783319922256
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Acoustic Sensors for Biomedical Applications Book Summary : In this book, application-related studies for acoustic biomedical sensors are covered in depth. The book features an array of different biomedical signals, including acoustic biomedical signals as well as the thermal biomedical signals, magnetic biomedical signals, and optical biomedical signals to support healthcare. It employs signal processing approaches, such as filtering, Fourier transform, spectral estimation, and wavelet transform. The book presents applications of acoustic biomedical sensors and bio-signal processing for prediction, detection, and monitoring of some diseases from the phonocardiogram (PCG) signal analysis. Several challenges and future perspectives related to the acoustic sensors applications are highlighted. This book supports the engineers, researchers, designers, and physicians in several interdisciplinary domains that support healthcare.

Computational Intelligence In Biomedical Engineering Book PDF
✏Book Title : Computational Intelligence in Biomedical Engineering
✏Author : Rezaul Begg
✏Publisher : CRC Press
✏Release Date : 2007-12-04
✏Pages : 392
✏ISBN : 1420005898
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Computational Intelligence in Biomedical Engineering Book Summary : As in many other fields, biomedical engineers benefit from the use of computational intelligence (CI) tools to solve complex and non-linear problems. The benefits could be even greater if there were scientific literature that specifically focused on the biomedical applications of computational intelligence techniques. The first comprehensive field-specific reference, Computational Intelligence in Biomedical Engineering provides a unique look at how techniques in CI can offer solutions in modelling, relationship pattern recognition, clustering, and other problems particular to the field. The authors begin with an overview of signal processing and machine learning approaches and continue on to introduce specific applications, which illustrate CI’s importance in medical diagnosis and healthcare. They provide an extensive review of signal processing techniques commonly employed in the analysis of biomedical signals and in the improvement of signal to noise ratio. The text covers recent CI techniques for post processing ECG signals in the diagnosis of cardiovascular disease and as well as various studies with a particular focus on CI’s potential as a tool for gait diagnostics. In addition to its detailed accounts of the most recent research, Computational Intelligence in Biomedical Engineering provides useful applications and information on the benefits of applying computation intelligence techniques to improve medical diagnostics.

Internet Of Things For Healthcare Technologies Book PDF
✏Book Title : Internet of Things for Healthcare Technologies
✏Author : Chinmay Chakraborty
✏Publisher : Springer Nature
✏Release Date : 2020-06-08
✏Pages : 324
✏ISBN : 9789811541124
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Internet of Things for Healthcare Technologies Book Summary : This book focuses on recent advances in the Internet of Things (IoT) in biomedical and healthcare technologies, presenting theoretical, methodological, well-established, and validated empirical work in these fields. Artificial intelligence and IoT are set to revolutionize all industries, but perhaps none so much as health care. Both biomedicine and machine learning applications are capable of analyzing data stored in national health databases in order to identify potential health problems, complications and effective protocols, and a range of wearable devices for biomedical and healthcare applications far beyond tracking individuals’ steps each day has emerged. These prosthetic technologies have made significant strides in recent decades with the advances in materials and development. As a result, more flexible, more mobile chip-enabled prosthetics or other robotic devices are on the horizon. For example, IoT-enabled wireless ECG sensors that reduce healthcare cost, and lead to better quality of life for cardiac patients. This book focuses on three current trends that are likely to have a significant impact on future healthcare: Advanced Medical Imaging and Signal Processing; Biomedical Sensors; and Biotechnological and Healthcare Advances. It also presents new methods of evaluating medical data, and diagnosing diseases in order to improve general quality of life.

Biosignal And Medical Image Processing Third Edition Book PDF
✏Book Title : Biosignal and Medical Image Processing Third Edition
✏Author : John L. Semmlow
✏Publisher : CRC Press
✏Release Date : 2014-02-25
✏Pages : 630
✏ISBN : 9781466567375
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Biosignal and Medical Image Processing Third Edition Book Summary : Written specifically for biomedical engineers, Biosignal and Medical Image Processing, Third Edition provides a complete set of signal and image processing tools, including diagnostic decision-making tools, and classification methods. Thoroughly revised and updated, it supplies important new material on nonlinear methods for describing and classifying signals, including entropy-based methods and scaling methods. A full set of PowerPoint slides covering the material in each chapter and problem solutions is available to instructors for download. See What’s New in the Third Edition: Two new chapters on nonlinear methods for describing and classifying signals. Additional examples with biological data such as EEG, ECG, respiration and heart rate variability Nearly double the number of end-of-chapter problems MATLAB® incorporated throughout the text Data "cleaning" methods commonly used in such areas as heart rate variability studies The text provides a general understanding of image processing sufficient to allow intelligent application of the concepts, including a description of the underlying mathematical principals when needed. Throughout this textbook, signal and image processing concepts are implemented using the MATLAB® software package and several of its toolboxes. The challenge of covering a broad range of topics at a useful, working depth is motivated by current trends in biomedical engineering education, particularly at the graduate level where a comprehensive education must be attained with a minimum number of courses. This has led to the development of "core" courses to be taken by all students. This text was written for just such a core course. It is also suitable for an upper-level undergraduate course and would also be of value for students in other disciplines that would benefit from a working knowledge of signal and image processing.

Data Mining In Biomedical Imaging Signaling And Systems Book PDF
✏Book Title : Data Mining in Biomedical Imaging Signaling and Systems
✏Author : Sumeet Dua
✏Publisher : CRC Press
✏Release Date : 2016-04-19
✏Pages : 440
✏ISBN : 9781439839393
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Data Mining in Biomedical Imaging Signaling and Systems Book Summary : Data mining can help pinpoint hidden information in medical data and accurately differentiate pathological from normal data. It can help to extract hidden features from patient groups and disease states and can aid in automated decision making. Data Mining in Biomedical Imaging, Signaling, and Systems provides an in-depth examination of the biomedi

📒Image And Signal Processing ✍ Abderrahim El Moataz

Image And Signal Processing Book PDF
✏Book Title : Image and Signal Processing
✏Author : Abderrahim El Moataz
✏Publisher : Springer Nature
✏Release Date : 2020-07-08
✏Pages : 386
✏ISBN : 9783030519353
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Image and Signal Processing Book Summary : This volume constitutes the refereed proceedings of the 9th International Conference on Image and Signal Processing, ICISP 2020, which was due to be held in Marrakesh, Morocco, in June 2020. The conference was cancelled due to the COVID-19 pandemic. The 40 revised full papers were carefully reviewed and selected from 84 submissions. The contributions presented in this volume were organized in the following topical sections: digital cultural heritage & color and spectral imaging; data and image processing for precision agriculture; machine learning application and innovation; biomedical imaging; deep learning and applications; pattern recognition; segmentation and retrieval; mathematical imaging & signal processing.

Handbook Of Research On Information Security In Biomedical Signal Processing Book PDF
✏Book Title : Handbook of Research on Information Security in Biomedical Signal Processing
✏Author : Pradhan, Chittaranjan
✏Publisher : IGI Global
✏Release Date : 2018-04-13
✏Pages : 414
✏ISBN : 9781522551539
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏Handbook of Research on Information Security in Biomedical Signal Processing Book Summary : Recent advancements and innovations in medical image and data processing have led to a need for robust and secure mechanisms to transfer images and signals over the internet and maintain copyright protection. The Handbook of Research on Information Security in Biomedical Signal Processing provides emerging research on security in biomedical data as well as techniques for accurate reading and further processing. While highlighting topics such as image processing, secure access, and watermarking, this publication explores advanced models and algorithms in information security in the modern healthcare system. This publication is a vital resource for academicians, medical professionals, technology developers, researchers, students, and practitioners seeking current research on intelligent techniques in medical data security.

📒Cmbebih 2019 ✍ Almir Badnjevic

Cmbebih 2019 Book PDF
✏Book Title : CMBEBIH 2019
✏Author : Almir Badnjevic
✏Publisher : Springer
✏Release Date : 2019-05-10
✏Pages : 782
✏ISBN : 9783030179717
✏Available Language : English, Spanish, And French

Click Here To Get Book

✏CMBEBIH 2019 Book Summary : This volume gathers the proceedings of the International Conference on Medical and Biological Engineering, which was held from 16 to 18 May 2019 in Banja Luka, Bosnia and Herzegovina. Focusing on the goal to ‘Share the Vision’, it highlights the latest findings, innovative solutions and emerging challenges in the field of Biomedical Engineering. The book covers a wide range of topics, including: biomedical signal processing, medical physics, biomedical imaging and radiation protection, biosensors and bioinstrumentation, bio-micro/nano technologies, biomaterials, biomechanics, robotics and minimally invasive surgery, and cardiovascular, respiratory and endocrine systems engineering. Further topics include bioinformatics and computational biology, clinical engineering and health technology assessment, health informatics, e-health and telemedicine, artificial intelligence and machine learning in healthcare, as well as pharmaceutical and genetic engineering. Given its scope, the book provides academic researchers, clinical researchers and professionals alike with a timely reference guide to measures for improving the quality of life and healthcare.