Signal Processing Techniques For Computational Health Informatics
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Signal Processing Techniques For Computational Health Informatics
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Author : Md Atiqur Rahman Ahad
language : en
Publisher: Springer Nature
Release Date : 2020-10-07
Signal Processing Techniques For Computational Health Informatics written by Md Atiqur Rahman Ahad and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-07 with Technology & Engineering categories.
This book focuses on signal processing techniques used in computational health informatics. As computational health informatics is the interdisciplinary study of the design, development, adoption and application of information and technology-based innovations, specifically, computational techniques that are relevant in health care, the book covers a comprehensive and representative range of signal processing techniques used in biomedical applications, including: bio-signal origin and dynamics, sensors used for data acquisition, artefact and noise removal techniques, feature extraction techniques in the time, frequency, time–frequency and complexity domain, and image processing techniques in different image modalities. Moreover, it includes an extensive discussion of security and privacy challenges, opportunities and future directions for computational health informatics in the big data age, and addresses the incorporation of recent techniques from the areas of artificial intelligence, deep learning and human–computer interaction. The systematic analysis of the state-of-the-art techniques covered here helps to further our understanding of the physiological processes involved and expandour capabilities in medical diagnosis and prognosis. In closing, the book, the first of its kind, blends state-of-the-art theory and practices of signal processing techniques inthe health informatics domain with real-world case studies building on those theories. As a result, it can be used as a text for health informatics courses to provide medics with cutting-edge signal processing techniques, or to introducehealth professionals who are already serving in this sector to some of the most exciting computational ideas that paved the way for the development of computational health informatics.
Introduction To Computational Health Informatics
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Author : Arvind Kumar Bansal
language : en
Publisher: CRC Press
Release Date : 2020-01-08
Introduction To Computational Health Informatics written by Arvind Kumar Bansal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-08 with Medical categories.
This class-tested textbook is designed for a semester-long graduate or senior undergraduate course on Computational Health Informatics. The focus of the book is on computational techniques that are widely used in health data analysis and health informatics and it integrates computer science and clinical perspectives. This book prepares computer science students for careers in computational health informatics and medical data analysis. Features Integrates computer science and clinical perspectives Describes various statistical and artificial intelligence techniques, including machine learning techniques such as clustering of temporal data, regression analysis, neural networks, HMM, decision trees, SVM, and data mining, all of which are techniques used widely used in health-data analysis Describes computational techniques such as multidimensional and multimedia data representation and retrieval, ontology, patient-data deidentification, temporal data analysis, heterogeneous databases, medical image analysis and transmission, biosignal analysis, pervasive healthcare, automated text-analysis, health-vocabulary knowledgebases and medical information-exchange Includes bioinformatics and pharmacokinetics techniques and their applications to vaccine and drug development
Internet Of Things
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Author : Brojo Kishore Mishra
language : en
Publisher: CRC Press
Release Date : 2023-10-13
Internet Of Things written by Brojo Kishore Mishra and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-13 with Computers categories.
The Internet of Things has revolutionized many industries and sectors by connecting devices to the Internet with the use of smart sensors and actuators, resulting in many advantages to businesses and organizations, such as better information and resource sharing, better supply chain efficiency, resulting in better overall efficiency and cost savings. This new book investigates the potential for initiating data-enabled and IoT-intensive applications to provide control and optimization of industrial operations and services. It presents an informative selection of quantitative research, case studies, conceptual chapters, model articles and theoretical papers on many important technological advances, applications, and challenges in the current status of IoT. The book features examples of IoT applications in such areas as food processing, automotive engineering, mental health, health tracking, security, and more. It discusses applying IoT in reverse logistics processes, developments in the Internet of Vehicles, the use of smart antennas, and machine learning in IoT. One chapter discusses a ground-breaking new device that uses IoT to convert audio recordings to Braille. Also discussed is the growing use of IoT in biometric technology (the use of technology to identify a person based on some aspect of their biology, such as fingerprint and eye unique pattern recognition). The enlightening information shared here offers state-of-the-art IoT solutions to many of today’s challenges of improving efficiency and bringing important information to the surface more quickly than systems depending on human intervention. The volume will be of value for computer science engineers and researchers, instructors and students in the field, and professionals that are interested in exploring the areas of next-generations IoT.
Bioinformatics And Medical Informatics Annual Volume 2024
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Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2024-07-31
Bioinformatics And Medical Informatics Annual Volume 2024 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 2024-07-31 with categories.
Novel Financial Applications Of Machine Learning And Deep Learning
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Author : Mohammad Zoynul Abedin
language : en
Publisher: Springer Nature
Release Date : 2023-03-01
Novel Financial Applications Of Machine Learning And Deep Learning written by Mohammad Zoynul Abedin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-01 with Business & Economics categories.
This book presents the state-of-the-art applications of machine learning in the finance domain with a focus on financial product modeling, which aims to advance the model performance and minimize risk and uncertainty. It provides both practical and managerial implications of financial and managerial decision support systems which capture a broad range of financial data traits. It also serves as a guide for the implementation of risk-adjusted financial product pricing systems, while adding a significant supplement to the financial literacy of the investigated study. The book covers advanced machine learning techniques, such as Support Vector Machine, Neural Networks, Random Forest, K-Nearest Neighbors, Extreme Learning Machine, Deep Learning Approaches, and their application to finance datasets. It also leverages real-world financial instances to practice business product modeling and data analysis. Software code, such as MATLAB, Python and/or R including datasets within a broad range of financial domain are included for more rigorous practice. The book primarily aims at providing graduate students and researchers with a roadmap for financial data analysis. It is also intended for a broad audience, including academics, professional financial analysts, and policy-makers who are involved in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management.
Health Informatics A Computational Perspective In Healthcare
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Author : Ripon Patgiri
language : en
Publisher: Springer Nature
Release Date : 2021-01-30
Health Informatics A Computational Perspective In Healthcare written by Ripon Patgiri and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-30 with Technology & Engineering categories.
This book presents innovative research works to demonstrate the potential and the advancements of computing approaches to utilize healthcare centric and medical datasets in solving complex healthcare problems. Computing technique is one of the key technologies that are being currently used to perform medical diagnostics in the healthcare domain, thanks to the abundance of medical data being generated and collected. Nowadays, medical data is available in many different forms like MRI images, CT scan images, EHR data, test reports, histopathological data and doctor patient conversation data. This opens up huge opportunities for the application of computing techniques, to derive data-driven models that can be of very high utility, in terms of providing effective treatment to patients. Moreover, machine learning algorithms can uncover hidden patterns and relationships present in medical datasets, which are too complex to uncover, if a data-driven approach is not taken. With the help of computing systems, today, it is possible for researchers to predict an accurate medical diagnosis for new patients, using models built from previous patient data. Apart from automatic diagnostic tasks, computing techniques have also been applied in the process of drug discovery, by which a lot of time and money can be saved. Utilization of genomic data using various computing techniques is another emerging area, which may in fact be the key to fulfilling the dream of personalized medications. Medical prognostics is another area in which machine learning has shown great promise recently, where automatic prognostic models are being built that can predict the progress of the disease, as well as can suggest the potential treatment paths to get ahead of the disease progression.
Biomedical Signal Processing For Healthcare Applications
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Author : Varun Bajaj
language : en
Publisher: CRC Press
Release Date : 2021-07-20
Biomedical Signal Processing For Healthcare Applications written by Varun Bajaj and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-20 with Technology & Engineering categories.
This book examines the use of biomedical signal processing—EEG, EMG, and ECG—in analyzing and diagnosing various medical conditions, particularly diseases related to the heart and brain. In combination with machine learning tools and other optimization methods, the analysis of biomedical signals greatly benefits the healthcare sector by improving patient outcomes through early, reliable detection. The discussion of these modalities promotes better understanding, analysis, and application of biomedical signal processing for specific diseases. The major highlights of Biomedical Signal Processing for Healthcare Applications include biomedical signals, acquisition of signals, pre-processing and analysis, post-processing and classification of the signals, and application of analysis and classification for the diagnosis of brain- and heart-related diseases. Emphasis is given to brain and heart signals because incomplete interpretations are made by physicians of these aspects in several situations, and these partial interpretations lead to major complications. FEATURES Examines modeling and acquisition of biomedical signals of different disorders Discusses CAD-based analysis of diagnosis useful for healthcare Includes all important modalities of biomedical signals, such as EEG, EMG, MEG, ECG, and PCG Includes case studies and research directions, including novel approaches used in advanced healthcare systems This book can be used by a wide range of users, including students, research scholars, faculty, and practitioners in the field of biomedical engineering and medical image analysis and diagnosis.
Biomedical Engineering Systems And Technologies
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Author : Ana Fred
language : en
Publisher: Springer
Release Date : 2016-01-04
Biomedical Engineering Systems And Technologies written by Ana Fred and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-04 with Medical categories.
This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015, held in Lisbon, Portugal, in January 2015. The 27 revised full papers presented together with an invited paper were carefully reviewed and selected from a total of 375 submissions. The papers cover a wide range of topics and are organized in four general topical sections on biomedical electronics and devices; bioimaging; bioinformatics models, methods and algorithms; bio-inspired systems and signal processing; health informatics. /div
Computational Intelligence For Machine Learning And Healthcare Informatics
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Author : Rajshree Srivastava
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2020-06-22
Computational Intelligence For Machine Learning And Healthcare Informatics written by Rajshree Srivastava and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-22 with Computers categories.
This book presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It is intended to provide a unique compendium of current and emerging machine learning paradigms for healthcare informatics, reflecting the diversity, complexity, and depth and breadth of this multi-disciplinary area.
Machine Learning In Signal Processing
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Author : Sudeep Tanwar
language : en
Publisher: CRC Press
Release Date : 2021-12-10
Machine Learning In Signal Processing written by Sudeep Tanwar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-10 with Technology & Engineering categories.
Machine Learning in Signal Processing: Applications, Challenges, and the Road Ahead offers a comprehensive approach toward research orientation for familiarizing signal processing (SP) concepts to machine learning (ML). ML, as the driving force of the wave of artificial intelligence (AI), provides powerful solutions to many real-world technical and scientific challenges. This book will present the most recent and exciting advances in signal processing for ML. The focus is on understanding the contributions of signal processing and ML, and its aim to solve some of the biggest challenges in AI and ML. FEATURES Focuses on addressing the missing connection between signal processing and ML Provides a one-stop guide reference for readers Oriented toward material and flow with regards to general introduction and technical aspects Comprehensively elaborates on the material with examples and diagrams This book is a complete resource designed exclusively for advanced undergraduate students, post-graduate students, research scholars, faculties, and academicians of computer science and engineering, computer science and applications, and electronics and telecommunication engineering.