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Compressive Sensing in Healthcare: Advances in ubiquitous sensing applications for healthcare

Editat de Mahdi Khosravy, Nilanjan Dey, Carlos A. Duque
en Limba Engleză Paperback – 20 mai 2020
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
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Specificații

ISBN-13: 9780128212479
ISBN-10: 0128212470
Pagini: 306
Dimensiuni: 191 x 235 x 21 mm
Greutate: 0.53 kg
Editura: ELSEVIER SCIENCE
Seria Advances in ubiquitous sensing applications for healthcare


Public țintă

Graduates, post-graduate students, post-docs and researchers and lecturers in Signal Processing, Biomedical Engineering, Computer Science , Medical Physics (focused on healthcare applications).

Cuprins

1. Compressive sensing theoretical foundations in a nutshell
2. Recovery in compressive sensing: a review
3. A descriptive review to sparsity measures
4. Compressive sensing in practice and potential advancements
5. A review of deterministic sensing matrices
6. Deterministic compressive sensing by chirp codes: A descriptive tutorial
7. Deterministic compressive sensing by chirp codes: A MATLAB® tutorial
8. Cyber physical systems for healthcare applications using compressive sensing
9. Compressive sensing of electrocardiogram
10. Multichannel ECG reconstruction based on joint compressed sensing for healthcare applications
11. Neural signal compressive sensing
12. Level-crossing sampling: principles, circuits, and processing for healthcare applications
13. Compressive sensing of electroencephalogram: a review
14. Calibrationless parallel compressed sensing reconstruction for rapid magnetic resonance imaging