[PDF] Nonlinear Analysis And Machine Learning In Cardiology - eBooks Review

Nonlinear Analysis And Machine Learning In Cardiology


Nonlinear Analysis And Machine Learning In Cardiology
DOWNLOAD

Download Nonlinear Analysis And Machine Learning In Cardiology PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Nonlinear Analysis And Machine Learning In Cardiology book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



Nonlinear Analysis And Machine Learning In Cardiology


Nonlinear Analysis And Machine Learning In Cardiology
DOWNLOAD
Author : Elena Tolkacheva
language : en
Publisher: Frontiers Media SA
Release Date :

Nonlinear Analysis And Machine Learning In Cardiology written by Elena Tolkacheva and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on with Science categories.




Nonlinear Systems


Nonlinear Systems
DOWNLOAD
Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-05-13

Nonlinear Systems written by and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-13 with Mathematics categories.


The editors of this book have incorporated contributions from a diverse group of leading researchers in the field of nonlinear systems. To enrich the scope of the content, this book contains a valuable selection of works on fractional differential equations.The book aims to provide an overview of the current knowledge on nonlinear systems and some aspects of fractional calculus. The main subject areas are divided into two theoretical and applied sections. Nonlinear systems are useful for researchers in mathematics, applied mathematics, and physics, as well as graduate students who are studying these systems with reference to their theory and application. This book is also an ideal complement to the specific literature on engineering, biology, health science, and other applied science areas. The opportunity given by IntechOpen to offer this book under the open access system contributes to disseminating the field of nonlinear systems to a wide range of researchers.



Applied Artificial Intelligence


Applied Artificial Intelligence
DOWNLOAD
Author : Swati V. Shinde
language : en
Publisher: CRC Press
Release Date : 2023-09-29

Applied Artificial Intelligence written by Swati V. Shinde and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-29 with Technology & Engineering categories.


This book explores the advancements and future challenges in biomedical application developments using breakthrough technologies like Artificial Intelligence (AI), Internet of Things (IoT), and Signal Processing. It will also contribute to biosensors and secure systems,and related research. Applied Artificial Intelligence: A Biomedical Perspective begins by detailing recent trends and challenges of applied artificial intelligence in biomedical systems. Part I of the book presents the technological background of the book in terms of applied artificial intelligence in the biomedical domain. Part II demonstrates the recent advancements in automated medical image analysis that have opened ample research opportunities in the applications of deep learning to different diseases. Part III focuses on the use of cyberphysical systems that facilitates computing anywhere by using medical IoT and biosensors and the numerous applications of this technology in the healthcare domain. Part IV describes the different signal processing applications in the healthcare domain. It also includes the prediction of some human diseases based on the inputs in signal format. Part V highlights the scope and applications of biosensors and security aspects of biomedical images. The book will be beneficial to the researchers, industry persons, faculty, and students working in biomedical applications of computer science and electronics engineering. It will also be a useful resource for teaching courses like AI/ML, medical IoT, signal processing, biomedical engineering, and medical image analysis.



Machine Learning Technologies And Applications


Machine Learning Technologies And Applications
DOWNLOAD
Author : C. Kiran Mai
language : en
Publisher: Springer Nature
Release Date : 2021-03-15

Machine Learning Technologies And Applications written by C. Kiran Mai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-15 with Technology & Engineering categories.


This book comprises the best deliberations with the theme “Machine Learning Technologies and Applications” in the “International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2020),” organized by the Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology. The book provides insights into the recent trends and developments in the field of computer science with a special focus on the machine learning and big data. The book focuses on advanced topics in artificial intelligence, machine learning, data mining and big data computing, cloud computing, Internet of things, distributed computing and smart systems.



Practical Guide For Biomedical Signals Analysis Using Machine Learning Techniques


Practical Guide For Biomedical Signals Analysis Using Machine Learning Techniques
DOWNLOAD
Author : Abdulhamit Subasi
language : en
Publisher: Academic Press
Release Date : 2019-03-16

Practical Guide For Biomedical Signals Analysis Using Machine Learning Techniques written by Abdulhamit Subasi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-16 with Medical categories.


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



Ai And Big Data In Cardiology


Ai And Big Data In Cardiology
DOWNLOAD
Author : Nicolas Duchateau
language : en
Publisher: Springer Nature
Release Date : 2023-05-04

Ai And Big Data In Cardiology written by Nicolas Duchateau and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-04 with Medical categories.


This book provides a detailed technical overview of the use and applications of artificial intelligence (AI), machine learning and big data in cardiology. Recent technological advancements in these fields mean that there is significant gain to be had in applying these methodologies into day-to-day clinical practice. Chapters feature detailed technical reviews and highlight key current challenges and limitations, along with the available techniques to address them for each topic covered. Sample data sets are also included to provide hands-on tutorials for readers using Python-based Jupyter notebooks, and are based upon real-world examples to ensure the reader can develop their confidence in applying these techniques to solve everyday clinical problems. Artificial Intelligence and Big Data in Cardiology systematically describes and technically reviews the latest applications of AI and big data within cardiology. It is ideal for use by the trainee and practicing cardiologist and informatician seeking an up-to-date resource on the topic with which to aid them in developing a thorough understanding of both basic concepts and recent advances in the field.



Nuclear Cardiology An Issue Of Cardiology Clinics


Nuclear Cardiology An Issue Of Cardiology Clinics
DOWNLOAD
Author : Sharmila Dorbala
language : en
Publisher: Elsevier Health Sciences
Release Date : 2016-01-07

Nuclear Cardiology An Issue Of Cardiology Clinics written by Sharmila Dorbala and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-07 with Medical categories.


This issue of Cardiology Clinics, edited by Sharmila Dorbala and Piotr Slomka, examines Nuclear Cardiology. Topics include Advances in SPECT Hardware and Software; Advances in PET Hardware and Software; Technical Advances and Clinical Applications of Cardiac PET/MR; Translational Coronary Atherosclerosis Imaging (NaF PET, FDG); Quantitative Nuclear Cardiology Using New Generation Equipment; Myocardial Perfusion Flow Tracers; Translational Molecular Nuclear Cardiology; Radionuclide Imaging in Congestive Heart Failure (Sarcoid, Amyloid, Viability); Clinical Applications of Imaging Myocardial Innervation; Gated Radionuclide Imaging Including Dyssynchrony Assessment; Clinical PET Myocardial Perfusion Imaging Including Flow Quantitation; and Novel Applications of Radionuclide Imaging in Peripheral Vascular Disease.



Innovative Technologies And Signal Processing In Perinatal Medicine


Innovative Technologies And Signal Processing In Perinatal Medicine
DOWNLOAD
Author : Danilo Pani
language : en
Publisher: Springer Nature
Release Date : 2020-10-20

Innovative Technologies And Signal Processing In Perinatal Medicine written by Danilo Pani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-20 with Technology & Engineering categories.


Pregnancy is a critical time for the health of the mother and the fetus, with important potential risks for both. Tools for antenatal diagnosis and pregnancy monitoring can support prevention and management of potential risks and complications. In particular, the perinatal period, spanning from the third trimester of pregnancy up to one month after birth, is the most critical for the baby. For this reason, in the last decades, biomedical engineering supported and fostered the scientific research towards the identification of new models, parameters, algorithms, and tools that can improve the quality of fetal monitoring, predict the outcomes and allow physicians to intervene in an appropriate manner to ensure a healthy future for the baby. This book follows the First International Summer School on Technologies and Signal Processing in Perinatal Medicine and reflects some of its most important master lectures. It represents a valuable guide for students and young researchers approaching this topic for the first time, as well as experienced researchers and practitioners looking for a clear representation of the themes and techniques presented by recognized experts in the field. Presents current and innovative technologies for fetal and neonatal monitoring Emphasis on both technology/signal processing and clinical aspects Offers a clear didactic approach to the subject matter



Machine Learning In Cardiovascular Medicine


Machine Learning In Cardiovascular Medicine
DOWNLOAD
Author : Subhi J. Al'Aref
language : en
Publisher: Academic Press
Release Date : 2020-11-20

Machine Learning In Cardiovascular Medicine written by Subhi J. Al'Aref and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-20 with Science categories.


Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness its computational power to streamline workflow and improve patient care. It is suitable for both clinicians and engineers; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer scientists and engineers in evaluating current and future impact of machine learning on cardiovascular medicine. - Provides an overview of machine learning, both for a clinical and engineering audience - Summarize recent advances in both cardiovascular medicine and artificial intelligence - Discusses the advantages of using machine learning for outcomes research and image processing - Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach



Diagnosis Monitoring And Treatment Of Heart Rhythm New Insights And Novel Computational Methods


Diagnosis Monitoring And Treatment Of Heart Rhythm New Insights And Novel Computational Methods
DOWNLOAD
Author : Jieyun Bai
language : en
Publisher: Frontiers Media SA
Release Date : 2023-09-13

Diagnosis Monitoring And Treatment Of Heart Rhythm New Insights And Novel Computational Methods written by Jieyun Bai and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-13 with Science categories.