Signal Processing Techniques For Computational Health Informatics

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Signal Processing Techniques for Computational Health Informatics

Md Atiqur Rahman Ahad,Mosabber Uddin Ahmed
Signal Processing Techniques for Computational Health Informatics Book PDF

Author : Md Atiqur Rahman Ahad,Mosabber Uddin Ahmed
Publisher : Springer Nature
Page : 347 pages
File Size : 47,8 Mb
Release : 2020-10-07
Category : Technology & Engineering
ISBN : 9783030549329

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Signal Processing Techniques for Computational Health Informatics by Md Atiqur Rahman Ahad,Mosabber Uddin Ahmed Pdf

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

Arvind Kumar Bansal,Javed Iqbal Khan,S. Kaisar Alam
Introduction to Computational Health Informatics Book PDF

Author : Arvind Kumar Bansal,Javed Iqbal Khan,S. Kaisar Alam
Publisher : CRC Press
Page : 664 pages
File Size : 41,7 Mb
Release : 2020-01-08
Category : Medical
ISBN : 9781000761597

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Introduction to Computational Health Informatics by Arvind Kumar Bansal,Javed Iqbal Khan,S. Kaisar Alam Pdf

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

Computational Health Informatics for Biomedical Applications

Aryan Chaudhary,Sardar M. N. Islam (Naz)
Computational Health Informatics for Biomedical Applications Book PDF

Author : Aryan Chaudhary,Sardar M. N. Islam (Naz)
Publisher : CRC Press
Page : 364 pages
File Size : 40,8 Mb
Release : 2023-06-30
Category : Technology & Engineering
ISBN : 9781000771138

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Computational Health Informatics for Biomedical Applications by Aryan Chaudhary,Sardar M. N. Islam (Naz) Pdf

The recent explosion of technology in healthcare has rapidly changed the healthcare sector. Technologies such as artificial intelligence and machine learning along with the integration of the Internet of Medical Things have evolved to tackle the need for remote healthcare systems, augmenting them in a self-sustainable way. This new volume explores the many important smart technologies that can make healthcare delivery and monitoring faster, more efficient, and less invasive. It looks at computational tactics as applied to the development of biomedical applications using artificial intelligence, machine learning, signal analysis, computer-aided design, robotics and automation, biomedical imaging, telemedicine, and other technologies. The book provides a solid framework to give the modern class of medical gearheads information on the innovative applications of computational mechanisms for improving and expediting patient-friendly automation in healthcare.

Signal Processing and Machine Learning for Biomedical Big Data

Ervin Sejdic,Tiago H. Falk
Signal Processing and Machine Learning for Biomedical Big Data Book PDF

Author : Ervin Sejdic,Tiago H. Falk
Publisher : CRC Press
Page : 1151 pages
File Size : 46,9 Mb
Release : 2018-07-04
Category : Medical
ISBN : 9781351061216

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Signal Processing and Machine Learning for Biomedical Big Data by Ervin Sejdic,Tiago H. Falk Pdf

Within the healthcare domain, big data is defined as any ``high volume, high diversity biological, clinical, environmental, and lifestyle information collected from single individuals to large cohorts, in relation to their health and wellness status, at one or several time points.'' Such data is crucial because within it lies vast amounts of invaluable information that could potentially change a patient's life, opening doors to alternate therapies, drugs, and diagnostic tools. Signal Processing and Machine Learning for Biomedical Big Data thus discusses modalities; the numerous ways in which this data is captured via sensors; and various sample rates and dimensionalities. Capturing, analyzing, storing, and visualizing such massive data has required new shifts in signal processing paradigms and new ways of combining signal processing with machine learning tools. This book covers several of these aspects in two ways: firstly, through theoretical signal processing chapters where tools aimed at big data (be it biomedical or otherwise) are described; and, secondly, through application-driven chapters focusing on existing applications of signal processing and machine learning for big biomedical data. This text aimed at the curious researcher working in the field, as well as undergraduate and graduate students eager to learn how signal processing can help with big data analysis. It is the hope of Drs. Sejdic and Falk that this book will bring together signal processing and machine learning researchers to unlock existing bottlenecks within the healthcare field, thereby improving patient quality-of-life. Provides an overview of recent state-of-the-art signal processing and machine learning algorithms for biomedical big data, including applications in the neuroimaging, cardiac, retinal, genomic, sleep, patient outcome prediction, critical care, and rehabilitation domains. Provides contributed chapters from world leaders in the fields of big data and signal processing, covering topics such as data quality, data compression, statistical and graph signal processing techniques, and deep learning and their applications within the biomedical sphere. This book’s material covers how expert domain knowledge can be used to advance signal processing and machine learning for biomedical big data applications.

Signal Processing in Medicine and Biology

Iyad Obeid,Ivan Selesnick,Joseph Picone
Signal Processing in Medicine and Biology Book PDF

Author : Iyad Obeid,Ivan Selesnick,Joseph Picone
Publisher : Springer Nature
Page : 287 pages
File Size : 40,7 Mb
Release : 2020-03-16
Category : Technology & Engineering
ISBN : 9783030368449

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Signal Processing in Medicine and Biology by Iyad Obeid,Ivan Selesnick,Joseph Picone Pdf

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.

Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics

Sujata Dash,Subhendu Kumar Pani,Joel J. P. C. Rodrigues,Babita Majhi
Deep Learning Machine Learning and IoT in Biomedical and Health Informatics Book PDF

Author : Sujata Dash,Subhendu Kumar Pani,Joel J. P. C. Rodrigues,Babita Majhi
Publisher : CRC Press
Page : 407 pages
File Size : 48,7 Mb
Release : 2022-02-10
Category : Computers
ISBN : 9781000534054

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Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics by Sujata Dash,Subhendu Kumar Pani,Joel J. P. C. Rodrigues,Babita Majhi Pdf

Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induce knowledge from the data. It is helpful in cases where direct algorithmic solutions are unavailable, there is lack of formal models, or the knowledge about the application domain is inadequately defined. In the future IoT has the impending capability to change the way we work and live. These computing methods also play a significant role in design and optimization in diverse engineering disciplines. With the influence and the development of the IoT concept, the need for AI (artificial intelligence) techniques has become more significant than ever. The aim of these techniques is to accept imprecision, uncertainties and approximations to get a rapid solution. However, recent advancements in representation of intelligent IoTsystems generate a more intelligent and robust system providing a human interpretable, low-cost, and approximate solution. Intelligent IoT systems have demonstrated great performance to a variety of areas including big data analytics, time series, biomedical and health informatics. This book will be very beneficial for the new researchers and practitioners working in the biomedical and healthcare fields to quickly know the best performing methods. It will also be suitable for a wide range of readers who may not be scientists but who are also interested in the practice of such areas as medical image retrieval, brain image segmentation, among others. • Discusses deep learning, IoT, machine learning, and biomedical data analysis with broad coverage of basic scientific applications • Presents deep learning and the tremendous improvement in accuracy, robustness, and cross- language generalizability it has over conventional approaches • Discusses various techniques of IoT systems for healthcare data analytics • Provides state-of-the-art methods of deep learning, machine learning and IoT in biomedical and health informatics • Focuses more on the application of algorithms in various real life biomedical and engineering problems

Applied Smart Health Care Informatics

Sourav De,Rik Das,Siddhartha Bhattacharyya,Ujjwal Maulik
Applied Smart Health Care Informatics Book PDF

Author : Sourav De,Rik Das,Siddhartha Bhattacharyya,Ujjwal Maulik
Publisher : John Wiley & Sons
Page : 228 pages
File Size : 53,9 Mb
Release : 2022-02-23
Category : Technology & Engineering
ISBN : 9781119742982

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Applied Smart Health Care Informatics by Sourav De,Rik Das,Siddhartha Bhattacharyya,Ujjwal Maulik Pdf

Applied Smart Health Care Informatics Explores how intelligent systems offer new opportunities for optimizing the acquisition, storage, retrieval, and use of information in healthcare Applied Smart Health Care Informatics explores how health information technology and intelligent systems can be integrated and deployed to enhance healthcare management. Edited and authored by leading experts in the field, this timely volume introduces modern approaches for managing existing data in the healthcare sector by utilizing artificial intelligence (AI), meta-heuristic algorithms, deep learning, the Internet of Things (IoT), and other smart technologies. Detailed chapters review advances in areas including machine learning, computer vision, and soft computing techniques, and discuss various applications of healthcare management systems such as medical imaging, electronic medical records (EMR), and drug development assistance. Throughout the text, the authors propose new research directions and highlight the smart technologies that are central to establishing proactive health management, supporting enhanced coordination of care, and improving the overall quality of healthcare services. Provides an overview of different deep learning applications for intelligent healthcare informatics management Describes novel methodologies and emerging trends in artificial intelligence and computational intelligence and their relevance to health information engineering and management Proposes IoT solutions that disseminate essential medical information for intelligent healthcare management Discusses mobile-based healthcare management, content-based image retrieval, and computer-aided diagnosis using machine and deep learning techniques Examines the use of exploratory data analysis in intelligent healthcare informatics systems Applied Smart Health Care Informatics: A Computational Intelligence Perspective is an invaluable text for graduate students, postdoctoral researchers, academic lecturers, and industry professionals working in the area of healthcare and intelligent soft computing.

Computational Tools and Techniques for Biomedical Signal Processing

Singh, Butta
Computational Tools and Techniques for Biomedical Signal Processing Book PDF

Author : Singh, Butta
Publisher : IGI Global
Page : 415 pages
File Size : 51,8 Mb
Release : 2016-08-12
Category : Technology & Engineering
ISBN : 9781522506614

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Computational Tools and Techniques for Biomedical Signal Processing by Singh, Butta Pdf

Biomedical signal processing in the medical field has helped optimize patient care and diagnosis within medical facilities. As technology in this area continues to advance, it has become imperative to evaluate other ways these computation techniques could be implemented. Computational Tools and Techniques for Biomedical Signal Processing investigates high-performance computing techniques being utilized in hospital information systems. Featuring comprehensive coverage on various theoretical perspectives, best practices, and emergent research in the field, this book is ideally suited for computer scientists, information technologists, biomedical engineers, data-processing specialists, and medical physicists interested in signal processing within medical systems and facilities.

Sensing Technology

Nagender Kumar Suryadevara,Boby George,Krishanthi P. Jayasundera,Subhas Chandra Mukhopadhyay
Sensing Technology Book PDF

Author : Nagender Kumar Suryadevara,Boby George,Krishanthi P. Jayasundera,Subhas Chandra Mukhopadhyay
Publisher : Springer Nature
Page : 512 pages
File Size : 54,5 Mb
Release : 2023-04-08
Category : Technology & Engineering
ISBN : 9783031298714

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Sensing Technology by Nagender Kumar Suryadevara,Boby George,Krishanthi P. Jayasundera,Subhas Chandra Mukhopadhyay Pdf

This book gathers the latest advances, innovations, and applications in the field of sensing technology, as presented by international researchers and engineers at the 15th International Conference on Sensing Technology (ICST), held in Sydney, Australia on December 5–7, 2022. Contributions include a wide range of topics such as: vision sensing, sensor signal processing, sensors phenomena and modelling, sensor characterization, smart sensors and sensor fusion, electromagnetic, chemical and physical sensors, electronic nose technology, biosensors, nano sensors, wireless sensors and WSN, Internet of Things, optical sensors, sensor arrays, intelligent sensing, Internet-based and remote data acquisition. The contributions, which were selected by means of a rigorous international peer-review process, present a wealth of exciting ideas that will open novel research directions and foster multidisciplinary collaboration among different specialists.

Applied Informatics for Industry 4.0

Nazmul Siddique,Mohammad Shamsul Arefin,Julie Wall,M Shamim Kaiser
Applied Informatics for Industry 4 0 Book PDF

Author : Nazmul Siddique,Mohammad Shamsul Arefin,Julie Wall,M Shamim Kaiser
Publisher : CRC Press
Page : 388 pages
File Size : 53,9 Mb
Release : 2023-02-17
Category : Business & Economics
ISBN : 9781000803129

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Applied Informatics for Industry 4.0 by Nazmul Siddique,Mohammad Shamsul Arefin,Julie Wall,M Shamim Kaiser Pdf

Applied Informatics for Industry 4.0 combines the technologies of computer science and information science to assist in the management and processing of data to provide different types of services. Due to the adaptation of 4.0 IR-related technologies, applied informatics is playing a vital role in different sectors such as healthcare, complex system design and privacy-related issues. This book focuses on cutting edge research from the fields of informatics and complex industrial systems, and will cover topics including health informatics, bioinformatics, brain informatics, genomics and proteomics, data and network security and more. The text will appeal to beginners and advanced researchers in the fields of computer science, information sciences, electrical and electronic engineering and robotics.

Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems

E. Priya,V. Rajinikanth
Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems Book PDF

Author : E. Priya,V. Rajinikanth
Publisher : Springer Nature
Page : 290 pages
File Size : 44,5 Mb
Release : 2020-09-21
Category : Medical
ISBN : 9789811561412

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Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems by E. Priya,V. Rajinikanth Pdf

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.

Internet of Things

Brojo Kishore Mishra,Amit Vishwasrao Salunkhe
Internet of Things Book PDF

Author : Brojo Kishore Mishra,Amit Vishwasrao Salunkhe
Publisher : CRC Press
Page : 385 pages
File Size : 52,6 Mb
Release : 2023-10-13
Category : Computers
ISBN : 9781000613339

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Internet of Things by Brojo Kishore Mishra,Amit Vishwasrao Salunkhe Pdf

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.

Secondary Analysis of Electronic Health Records

MIT Critical Data
Secondary Analysis of Electronic Health Records Book PDF

Author : MIT Critical Data
Publisher : Springer
Page : 609 pages
File Size : 42,9 Mb
Release : 2016-10-02
Category : Medical
ISBN : 3319437402

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Secondary Analysis of Electronic Health Records by MIT Critical Data Pdf

This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.

Handbook of Research on Information Security in Biomedical Signal Processing

Chittaranjan Pradhan
Handbook of Research on Information Security in Biomedical Signal Processing Book PDF

Author : Chittaranjan Pradhan
Publisher : IGI Global, Information Science Reference
Page : 0 pages
File Size : 55,6 Mb
Release : 2018
Category : Computers
ISBN : 1522551549

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Handbook of Research on Information Security in Biomedical Signal Processing by Chittaranjan Pradhan Pdf

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.

Computational Intelligence and Biomedical Signal Processing

Mitul Kumar Ahirwal,Anil Kumar,Girish Kumar Singh
Computational Intelligence and Biomedical Signal Processing Book PDF

Author : Mitul Kumar Ahirwal,Anil Kumar,Girish Kumar Singh
Publisher : Springer Nature
Page : 152 pages
File Size : 48,8 Mb
Release : 2021-05-25
Category : Technology & Engineering
ISBN : 9783030670986

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Computational Intelligence and Biomedical Signal Processing by Mitul Kumar Ahirwal,Anil Kumar,Girish Kumar Singh Pdf

This book presents an interdisciplinary paradigms of computational intelligence techniques and biomedical signal processing. The computational intelligence techniques outlined in the book will help to develop various ways to enhance and utilize signal processing algorithms in the field of biomedical signal processing. In this book, authors have discussed research, discoveries and innovations in computational intelligence, signal processing, and biomedical engineering that will be beneficial to engineers working in the field of health care systems. The book provides fundamental and initial level theory and implementation tools, so that readers can quickly start their research in these interdisciplinary domains.