Compressive Sensing in Healthcare

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  • Author : Mahdi Khosravy
  • Publisher : Academic Press
  • Pages : 306 pages
  • ISBN : 0128212470
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Compressive Sensing in Healthcare

Download or Read online Compressive Sensing in Healthcare full in PDF, ePub and kindle. this book written by Mahdi Khosravy and published by Academic Press which was released on 03 June 2020 with total page 306 pages. We cannot guarantee that Compressive Sensing in 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. Compressive Sensing in Healthcare, part of the Advances in Ubiquitous Sensing Applications for Healthcare series gives a review on compressive sensing techniques in a practical way, also presenting deterministic compressive sensing techniques that can be used in the field. The focus of the book is on healthcare applications for this technology. It is intended for both the creators of this technology and the end users of these products. The content includes the use of EEG and ECG, plus hardware and software requirements for building projects. Body area networks and body sensor networks are explored. Provides a toolbox for compressive sensing in health, presenting both mathematical and coding information Presents an intuitive introduction to compressive sensing, including MATLAB tutorials Covers applications of compressive sensing in health care

Compressive Sensing in Healthcare

Compressive Sensing in Healthcare
  • Author : Mahdi Khosravy,Nilanjan Dey,Carlos A. Duque
  • Publisher : Academic Press
  • Release : 03 June 2020
GET THIS BOOK Compressive Sensing in Healthcare

Compressive Sensing in Healthcare, part of the Advances in Ubiquitous Sensing Applications for Healthcare series gives a review on compressive sensing techniques in a practical way, also presenting deterministic compressive sensing techniques that can be used in the field. The focus of the book is on healthcare applications for this technology. It is intended for both the creators of this technology and the end users of these products. The content includes the use of EEG and ECG, plus hardware and

Compressive Sensing in Healthcare

Compressive Sensing in Healthcare
  • Author : Mahdi Khosravy,Nilanjan Dey,Carlos A. Duque
  • Publisher : Academic Press
  • Release : 18 May 2020
GET THIS BOOK Compressive Sensing in Healthcare

Compressive Sensing in Healthcare, part of the Advances in Ubiquitous Sensing Applications for Healthcare series gives a review on compressive sensing techniques in a practical way, also presenting deterministic compressive sensing techniques that can be used in the field. The focus of the book is on healthcare applications for this technology. It is intended for both the creators of this technology and the end users of these products. The content includes the use of EEG and ECG, plus hardware and

Compressive Sensing of Earth Observations

Compressive Sensing of Earth Observations
  • Author : C.H. Chen
  • Publisher : CRC Press
  • Release : 25 May 2017
GET THIS BOOK Compressive Sensing of Earth Observations

Future remote sensing systems will make extensive use of Compressive Sensing (CS) as it becomes more integrated into the system design with increased high resolution sensor developments and the rising earth observation data generated each year. Written by leading experts in the field Compressive Sensing of Earth Observations provides a comprehensive and balanced coverage of the theory and applications of CS in all aspects of earth observations. This work covers a myriad of practical aspects such as the use of

Understanding the Practical Limitations of Applying Analog Compressed Sensing Systems to ECG Signals

Understanding the Practical Limitations of Applying Analog Compressed Sensing Systems to ECG Signals
  • Author : Anna Marie Rogers Dixon
  • Publisher : Unknown
  • Release : 30 July 2021
GET THIS BOOK Understanding the Practical Limitations of Applying Analog Compressed Sensing Systems to ECG Signals

Body area networks (BAN), networks of wearable and wireless physiological sensors, are expected to have a profound positive impact in healthcare. The bio-signal sensors are equipped with ultra-low power radios communicating to a BAN personal base station, and ultimately the healthcare provider. Most of the power dissipated in a state-of-the-art bio-signal sensor occurs when the RF power amplifier transmits data to the personal base station. Thus, a method is desired that decreases the amount of data to be transmitted which

Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms

Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms
  • Author : Bhabesh Deka,Sumit Datta
  • Publisher : Springer
  • Release : 29 December 2018
GET THIS BOOK Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms

This book presents a comprehensive review of the recent developments in fast L1-norm regularization-based compressed sensing (CS) magnetic resonance image reconstruction algorithms. Compressed sensing magnetic resonance imaging (CS-MRI) is able to reduce the scan time of MRI considerably as it is possible to reconstruct MR images from only a few measurements in the k-space; far below the requirements of the Nyquist sampling rate. L1-norm-based regularization problems can be solved efficiently using the state-of-the-art convex optimization techniques, which in

Biomedical Signal Analysis for Connected Healthcare

Biomedical Signal Analysis for Connected Healthcare
  • Author : Sridhar Krishnan
  • Publisher : Elsevier
  • Release : 02 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.

Adapted Compressed Sensing for Effective Hardware Implementations

Adapted Compressed Sensing for Effective Hardware Implementations
  • Author : Mauro Mangia,Fabio Pareschi,Valerio Cambareri,Riccardo Rovatti,Gianluca Setti
  • Publisher : Springer
  • Release : 14 July 2017
GET THIS BOOK Adapted Compressed Sensing for Effective Hardware Implementations

This book describes algorithmic methods and hardware implementations that aim to help realize the promise of Compressed Sensing (CS), namely the ability to reconstruct high-dimensional signals from a properly chosen low-dimensional “portrait”. The authors describe a design flow and some low-resource physical realizations of sensing systems based on CS. They highlight the pros and cons of several design choices from a pragmatic point of view, and show how a lightweight and mild but effective form of adaptation to the target

Hybrid and Advanced Compression Techniques for Medical Images

Hybrid and Advanced Compression Techniques for Medical Images
  • Author : Rohit M. Thanki,Ashish Kothari
  • Publisher : Springer
  • Release : 22 February 2019
GET THIS BOOK Hybrid and Advanced Compression Techniques for Medical Images

This book introduces advanced and hybrid compression techniques specifically used for medical images. The book discusses conventional compression and compressive sensing (CS) theory based approaches that are designed and implemented using various image transforms, such as: Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), and Singular Value Decomposition (SVD) and greedy based recovery algorithm. The authors show how these techniques provide simulation results of various compression techniques for different types of medical images, such as MRI,

Information Technology and Intelligent Transportation Systems

Information Technology and Intelligent Transportation Systems
  • Author : L.C. Jain,X. Zhao,V.E. Balas
  • Publisher : IOS Press
  • Release : 18 March 2020
GET THIS BOOK Information Technology and Intelligent Transportation Systems

Intelligent transport systems, from basic management systems to more application-oriented systems, vary in the technologies they apply. Information technologies, including wireless communication, are important in intelligent transportation systems, as are computational technologies: floating car data/floating cellular data, sensing technologies, and video vehicle detection. Theoretical and application technologies, such as emergency vehicle notification systems, automatic road enforcement and collision avoidance systems, as well as some cooperative systems are also used in intelligent transportation systems. This book presents papers selected from

Compressed Sensing and its Applications

Compressed Sensing and its Applications
  • Author : Holger Boche,Robert Calderbank,Gitta Kutyniok,Jan Vybíral
  • Publisher : Birkhäuser
  • Release : 04 July 2015
GET THIS BOOK Compressed Sensing and its Applications

Since publication of the initial papers in 2006, compressed sensing has captured the imagination of the international signal processing community, and the mathematical foundations are nowadays quite well understood. Parallel to the progress in mathematics, the potential applications of compressed sensing have been explored by many international groups of, in particular, engineers and applied mathematicians, achieving very promising advances in various areas such as communication theory, imaging sciences, optics, radar technology, sensor networks, or tomography. Since many applications have reached a

Secure Compressive Sensing in Multimedia Data Cloud Computing and IoT

Secure Compressive Sensing in Multimedia Data  Cloud Computing and IoT
  • Author : Yushu Zhang,Yong Xiang,Leo Yu Zhang
  • Publisher : Springer
  • Release : 01 September 2018
GET THIS BOOK Secure Compressive Sensing in Multimedia Data Cloud Computing and IoT

This book gives a comprehensive and systematic review of secure compressive sensing (CS) for applications in various fields such as image processing, pattern recognition, Internet of things (IoT), and cloud computing. It will help readers grasp the knowledge of secure CS and its applications, and stimulate more readers to work on the research and development of secure CS. It discusses how CS becomes a cryptosystem, followed by the corresponding designs and analyses. The application of CS in multimedia data encryption

Wireless Mobile Communication and Healthcare

Wireless Mobile Communication and Healthcare
  • Author : Balwant Godara,Konstantina S Nikita
  • Publisher : Springer
  • Release : 03 April 2013
GET THIS BOOK Wireless Mobile Communication and Healthcare

This book constitutes the refereed proceedings of the Third International Conference on Wireless Mobile Communication and Healthcare, MobiHealth 2012, and of the two workshops: Workshop on Advances in Personalized Healthcare Services, Wearable Mobile Monitoring, and Social Media Pervasive Technologies (APHS 2012), and Workshop on Advances in Wireless Physical Layer Communications for Emerging Healthcare Applications (IWAWPLC 2012), all held in Paris, France, in November 2012. The 39 revised full papers presented were carefully reviewed and selected from 66 submissions. The papers are organized in topical sections covering

Compressed Sensing for Engineers

Compressed Sensing for Engineers
  • Author : Angshul Majumdar
  • Publisher : CRC Press
  • Release : 07 December 2018
GET THIS BOOK Compressed Sensing for Engineers

Compressed Sensing (CS) in theory deals with the problem of recovering a sparse signal from an under-determined system of linear equations. The topic is of immense practical significance since all naturally occurring signals can be sparsely represented in some domain. In recent years, CS has helped reduce scan time in Magnetic Resonance Imaging (making scans more feasible for pediatric and geriatric subjects) and has also helped reduce the health hazard in X-Ray Computed CT. This book is a valuable resource