Biomedical Signal Processing and Artificial Intelligence in Healthcare

Written By Walid A. Zgallai
Biomedical Signal Processing and Artificial Intelligence in Healthcare
  • Publsiher : Academic Press
  • Release : 29 July 2020
  • ISBN : 0128189479
  • Pages : 268 pages
  • Rating : 4/5 from 21 reviews
GET THIS BOOKBiomedical Signal Processing and Artificial Intelligence in Healthcare


Read or download book entitled Biomedical Signal Processing and Artificial Intelligence in Healthcare written by Walid A. Zgallai which was release on 29 July 2020, this book published by Academic Press. Available in PDF, EPUB and Kindle Format. Book excerpt: Biomedical Signal Processing and Artificial Intelligence in Healthcare is a new volume in the Developments in Biomedical Engineering and Bioelectronics series. This volume covers the basics of biomedical signal processing and artificial intelligence. It explains the role of machine learning in relation to processing biomedical signals and the applications in medicine and healthcare. The book provides background to statistical analysis in biomedical systems. Several types of biomedical signals are introduced and analyzed, including ECG and EEG signals. The role of Deep Learning, Neural Networks, and the implications of the expansion of artificial intelligence is covered. Biomedical Images are also introduced and processed, including segmentation, classification, and detection. This book covers different aspects of signals, from the use of hardware and software, and making use of artificial intelligence in problem solving. Dr Zgallai’s book has up to date coverage where readers can find the latest information, easily explained, with clear examples and illustrations. The book includes examples on the application of signal and image processing employing artificial intelligence to Alzheimer, Parkinson, ADHD, autism, and sleep disorders, as well as ECG and EEG signals. Developments in Biomedical Engineering and Bioelectronics is a 10-volume series which covers recent developments, trends and advances in this field. Edited by leading academics in the field, and taking a multidisciplinary approach, this series is a forum for cutting-edge, contemporary review articles and contributions from key ‘up-and-coming’ academics across the full subject area. The series serves a wide audience of university faculty, researchers and students, as well as industry practitioners. Coverage of the subject area and the latest advances and applications in biomedical signal processing and Artificial Intelligence. Contributions by recognized researchers and field leaders. On-line presentations, tutorials, application and algorithm examples.

Biomedical Signal Processing and Artificial Intelligence in Healthcare

Biomedical Signal Processing and Artificial Intelligence in Healthcare
  • Author : Walid A. Zgallai
  • Publisher : Academic Press
  • Release Date : 2020-07-29
  • Total pages : 268
  • ISBN : 0128189479
GET BOOK

Summary : Biomedical Signal Processing and Artificial Intelligence in Healthcare is a new volume in the Developments in Biomedical Engineering and Bioelectronics series. This volume covers the basics of biomedical signal processing and artificial intelligence. It explains the role of machine learning in relation to processing biomedical signals and the applications in ...

Signal Processing and Machine Learning for Biomedical Big Data

Signal Processing and Machine Learning for Biomedical Big Data
  • Author : Ervin Sejdic,Tiago H. Falk
  • Publisher : CRC Press
  • Release Date : 2018-07-04
  • Total pages : 606
  • ISBN : 0128189479
GET 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 ...

Machine Learning and the Internet of Medical Things in Healthcare

Machine Learning and the Internet of Medical Things in Healthcare
  • Author : Krishna Kant Singh,Mohamed Elhoseny,Akansha Singh,Ahmed A. Elngar
  • Publisher : Academic Press
  • Release Date : 2021-04-26
  • Total pages : 290
  • ISBN : 0128189479
GET BOOK

Summary : Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes machine learning techniques along with ...

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

Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems
  • Author : E. Priya,V. Rajinikanth
  • Publisher : Springer Nature
  • Release Date : 2020-09-21
  • Total pages : 283
  • ISBN : 0128189479
GET 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, ...

Biomedical Signal Processing for Healthcare Applications

Biomedical Signal Processing for Healthcare Applications
  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 2021-07
  • Total pages : 212
  • ISBN : 0128189479
GET BOOK

Summary : "This book examines biomedical signal processing in which biomedical signals such as EEG, EMG, ECG are used to analyze and diagnosis various medical conditions. In combination with machine learning tools and other optimization methods, the analysis of biomedical signals will subsequently benefit the healthcare sector"--...

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques
  • Author : Abdulhamit Subasi
  • Publisher : Academic Press
  • Release Date : 2019-03-16
  • Total pages : 456
  • ISBN : 0128189479
GET 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 ...

Recent Advances in Biomedical Signal Processing

Recent Advances in Biomedical Signal Processing
  • Author : Juan Manuel Górriz,Elmar W. Lang,Javier Ramírez
  • Publisher : Bentham Science Publishers
  • Release Date : 2011
  • Total pages : 271
  • ISBN : 0128189479
GET BOOK

Summary : "Biomedical signal processing is a rapidly expanding field with a wide range of applications, from the construction of artificial limbs and aids for disabilities to the development of sophisticated medical imaging systems. Acquisition and processing of bio"...

Internet of Things for Healthcare Technologies

Internet of Things for Healthcare Technologies
  • Author : Chinmay Chakraborty,Amit Banerjee,Maheshkumar H. Kolekar,Lalit Garg,Basabi Chakraborty
  • Publisher : Springer Nature
  • Release Date : 2020-06-08
  • Total pages : 324
  • ISBN : 0128189479
GET 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 ...

Biomedical Signal Processing

Biomedical Signal Processing
  • Author : Iyad Obeid,Ivan Selesnick,Joseph Picone
  • Publisher : Springer
  • Release Date : 2021-05-13
  • Total pages : 261
  • ISBN : 0128189479
GET BOOK

Summary : This book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. It examines the vital role signal processing plays in enabling a new generation of technology based on big data, and looks at applications ranging from medical ...

Biomedical Signal Processing

Biomedical Signal Processing
  • Author : Ganesh Naik
  • Publisher : Springer Nature
  • Release Date : 2019-11-12
  • Total pages : 432
  • ISBN : 0128189479
GET BOOK

Summary : This book reports on the latest advances in the study of biomedical signal processing, and discusses in detail a number of open problems concerning clinical, biomedical and neural signals. It methodically collects and presents in a unified form the research findings previously scattered throughout various scientific journals and conference proceedings. ...

Biomedical Signal and Image Processing in Patient Care

Biomedical Signal and Image Processing in Patient Care
  • Author : Kolekar, Maheshkumar H.,Kumar, Vinod
  • Publisher : IGI Global
  • Release Date : 2017-08-11
  • Total pages : 312
  • ISBN : 0128189479
GET BOOK

Summary : In healthcare systems, medical devices help physicians and specialists in diagnosis, prognosis, and therapeutics. As research shows, validation of medical devices is significantly optimized by accurate signal processing. Biomedical Signal and Image Processing in Patient Care is a pivotal reference source for progressive research on the latest development of applications ...

Biomedical Signal Analysis for Connected Healthcare

Biomedical Signal Analysis for Connected Healthcare
  • Author : Sridhar Krishnan
  • Publisher : Academic Press
  • Release Date : 2019-06-15
  • Total pages : 270
  • ISBN : 0128189479
GET BOOK

Summary : Biomedical Signal Analysis for Connected Healthcare provides rigorous coverage on several generations of techniques, including time domain approaches for event detection, spectral analysis for interpretation of clinical events of interest, time-varying signal processing for understanding dynamical aspects of complex biomedical systems, the application of machine learning principles in enhanced clinical ...

Machine Learning in Bio Signal Analysis and Diagnostic Imaging

Machine Learning in Bio Signal Analysis and Diagnostic Imaging
  • Author : Nilanjan Dey,Surekha Borra,Amira S. Ashour,Fuqian Shi
  • Publisher : Academic Press
  • Release Date : 2018-11-30
  • Total pages : 345
  • ISBN : 0128189479
GET 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 ...

Signal Processing Techniques for Computational Health Informatics

Signal Processing Techniques for Computational Health Informatics
  • Author : Md Atiqur Rahman Ahad,Mosabber Uddin Ahmed
  • Publisher : Springer Nature
  • Release Date : 2020-10-07
  • Total pages : 334
  • ISBN : 0128189479
GET BOOK

Summary : 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 in Medicine and Biology

Signal Processing in Medicine and Biology
  • Author : Iyad Obeid,Ivan Selesnick,Joseph Picone
  • Publisher : Springer
  • Release Date : 2021-03-17
  • Total pages : 281
  • ISBN : 0128189479
GET 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, ...