
Compressive Sensing in Healthcare
Description
Key Features
- 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
Readership
Graduates, post-graduate students, post-docs and researchers and lecturers in Signal Processing, Biomedical Engineering, Computer Science, and Medical Physics (focused on healthcare applications)
Table of Contents
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
Product details
- No. of pages: 306
- Language: English
- Copyright: © Academic Press 2020
- Published: May 18, 2020
- Imprint: Academic Press
- Paperback ISBN: 9780128212479
- eBook ISBN: 9780128212486
About the Editors
Mahdi Khosravy
Affiliations and Expertise
Nilanjan Dey
Affiliations and Expertise
Carlos Duque
Affiliations and Expertise
Ratings and Reviews
Latest reviews
(Total rating for all reviews)
Martin K. Tue Jan 28 2020
Sounds Interesting!
The book title and content sounds very interesting!