Biomedical Signal Analysis for Connected Healthcare

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  • Author : Sridhar Krishnan
  • Publisher : Elsevier
  • Pages : 334 pages
  • ISBN : 0128130865
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Biomedical Signal Analysis for Connected Healthcare

Download or Read online Biomedical Signal Analysis for Connected Healthcare full in PDF, ePub and kindle. this book written by Sridhar Krishnan and published by Elsevier which was released on 09 July 2021 with total page 334 pages. We cannot guarantee that Biomedical Signal Analysis for Connected Healthcare book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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 decision-making, the application of sparse techniques and compressive sensing in providing low-power applications that are essential for wearable designs, the emerging paradigms of the Internet of Things, and connected healthcare. Provides comprehensive coverage of biomedical engineering, technologies, and healthcare applications of various physiological signals Covers vital signals, including ECG, EEG, EMG and body sounds Includes case studies and MATLAB code for selected applications

Biomedical Signal Analysis for Connected Healthcare

Biomedical Signal Analysis for Connected Healthcare
  • Author : Sridhar Krishnan
  • Publisher : Elsevier
  • Release : 09 July 2021
GET THIS BOOK Biomedical Signal Analysis for Connected Healthcare

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 decision-making, the application of sparse techniques and compressive sensing in providing low-power applications that are essential for wearable designs, the emerging paradigms of the Internet of Things, and connected healthcare.

Biomedical Signal Analysis for Connected Healthcare

Biomedical Signal Analysis for Connected Healthcare
  • Author : Sridhar Krishnan
  • Publisher : Academic Press
  • Release : 23 June 2021
GET THIS BOOK Biomedical Signal Analysis for Connected Healthcare

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 decision-making, the application of sparse techniques and compressive sensing in providing low-power applications that are essential for wearable designs, the emerging paradigms of the Internet of Things, and connected healthcare.

Biomedical Signal Processing for Healthcare Applications

Biomedical Signal Processing for Healthcare Applications
  • Author : Varun Bajaj,G. R. Sinha,Chinmay Chakraborty
  • Publisher : CRC Press
  • Release : 21 July 2021
GET THIS BOOK Biomedical Signal Processing for Healthcare Applications

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

Health Monitoring Systems

Health Monitoring Systems
  • Author : Rajarshi Gupta,Dwaipayan Biswas
  • Publisher : CRC Press
  • Release : 21 November 2019
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Remote health monitoring using wearable sensors is an important research area involving several key steps: physiological parameter sensing and data acquisition, data analysis, data security, data transmission to caregivers, and clinical intervention, all of which play a significant role to form a closed loop system. Subject-specific behavioral and clinical traits, coupled with individual physiological differences, necessitate a personalized healthcare delivery model for around-the-clock monitoring within the home environment. Cardiovascular disease monitoring is an illustrative application domain where research has been

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 : 26 April 2021
GET THIS BOOK Machine Learning and the Internet of Medical Things in Healthcare

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 the emerging platform of the Internet of Medical Things used by practitioners and researchers worldwide. The book includes deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and

Biomedical Signal Processing and Artificial Intelligence in Healthcare

Biomedical Signal Processing and Artificial Intelligence in Healthcare
  • Author : Walid A. Zgallai
  • Publisher : Academic Press
  • Release : 29 July 2020
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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

Digital Health Approach for Predictive Preventive Personalised and Participatory Medicine

Digital Health Approach for Predictive  Preventive  Personalised and Participatory Medicine
  • Author : Lotfi Chaari
  • Publisher : Springer
  • Release : 10 July 2019
GET THIS BOOK Digital Health Approach for Predictive Preventive Personalised and Participatory Medicine

This collection, entitled Digital Health for Predictive, Preventive, Personalized and Participatory Medicine contains the proceedings of the first International conference on digital healthtechnologies (ICDHT 2018). Ten recent contributions in the fields of Artificial Intelligence (AI) and machine learning, Internet of Things (IoT) and data analysis, all applied to digital health. This collection enables researchers to learn about recent advances in the above mentioned fields. It brings a technological viewpoint of P4 medicine. Readers will discover how advanced Information Technology (IT) tools

Precision Medicine Powered by pHealth and Connected Health

Precision Medicine Powered by pHealth and Connected Health
  • Author : Nicos Maglaveras,Ioanna Chouvarda,Paulo de Carvalho
  • Publisher : Springer
  • Release : 16 November 2017
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This volume presents the proceedings of the 3rd ICBHI which took place in Thessaloniki on 18-21 November, 2017.The area of biomedical and health informatics is exploding at all scales. The developments in the areas of medical devices, eHealth and personalized health as enabling factors for the evolution of precision medicine are quickly developing and demand the development of new scaling tools, integration frameworks and methodologies.

Issues in Biomedical Engineering Research and Application 2013 Edition

Issues in Biomedical Engineering Research and Application  2013 Edition
  • Author : Anonim
  • Publisher : ScholarlyEditions
  • Release : 01 May 2013
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Issues in Biomedical Engineering Research and Application: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Reproductive Biomedicine. The editors have built Issues in Biomedical Engineering Research and Application: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Reproductive Biomedicine in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Biomedical Engineering Research and

IoT and ICT for Healthcare Applications

IoT and ICT for Healthcare Applications
  • Author : Nishu Gupta,Sara Paiva
  • Publisher : Springer Nature
  • Release : 12 August 2020
GET THIS BOOK IoT and ICT for Healthcare Applications

This book provides an insight on the importance that Internet of Things (IoT) and Information and Communication Technology (ICT) solutions can have in taking care of people's health. Key features of this book present the recent and emerging developments in various specializations in curing health problems and finding their solutions by incorporating IoT and ICT. This book presents useful IoT and ICT applications and architectures that cater to their improved healthcare requirements. Topics include in-home healthcare services based on the

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 : 11 August 2017
GET THIS BOOK Biomedical Signal and Image Processing in Patient Care

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 and tools for healthcare systems. Featuring extensive coverage on a broad range of topics and perspectives such as telemedicine, human machine interfaces, and multimodal data fusion, this publication is ideally

Biomedical Engineering and its Applications in Healthcare

Biomedical Engineering and its Applications in Healthcare
  • Author : Sudip Paul
  • Publisher : Springer Nature
  • Release : 08 November 2019
GET THIS BOOK Biomedical Engineering and its Applications in Healthcare

This book illustrates the significance of biomedical engineering in modern healthcare systems. Biomedical engineering plays an important role in a range of areas, from diagnosis and analysis to treatment and recovery and has entered the public consciousness through the proliferation of implantable medical devices, such as pacemakers and artificial hips, as well as the more futuristic technologies such as stem cell engineering and 3-D printing of biological organs. Starting with an introduction to biomedical engineering, the book then discusses various

Acoustic Sensors for Biomedical Applications

Acoustic Sensors for Biomedical Applications
  • Author : Nilanjan Dey,Amira S. Ashour,Waleed S. Mohamed,Nhu Gia Nguyen
  • Publisher : Springer
  • Release : 20 July 2018
GET THIS BOOK Acoustic Sensors for Biomedical Applications

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 (

Deep Learning Techniques for Biomedical and Health Informatics

Deep Learning Techniques for Biomedical and Health Informatics
  • Author : Sujata Dash,Biswa Ranjan Acharya,Mamta Mittal,Ajith Abraham,Arpad Kelemen
  • Publisher : Springer Nature
  • Release : 14 November 2019
GET THIS BOOK Deep Learning Techniques for Biomedical and Health Informatics

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

Practical Biomedical Signal Analysis Using MATLAB

Practical Biomedical Signal Analysis Using MATLAB
  • Author : Katarzyna J. Blinowska,Jarosław Żygierewicz
  • Publisher : CRC Press
  • Release : 18 October 2021
GET THIS BOOK Practical Biomedical Signal Analysis Using MATLAB

Covering the latest cutting-edge techniques in biomedical signal processing while presenting a coherent treatment of various signal processing methods and applications, this second edition of Practical Biomedical Signal Analysis Using MATLAB® also offers practical guidance on which procedures are appropriate for a given task and different types of data. It begins by describing signal analysis techniques—including the newest and most advanced methods in the field—in an easy and accessible way, illustrating them with Live Script demos. MATLAB® routines