Description
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
Table of Contents
1. Compressive sensing theoretical foundations in a nutshell2. Recovery in compressive sensing: a review3. A descriptive review to sparsity measures4. Compressive sensing in practice and potential advancements5. A review of deterministic sensing matrices6. Deterministic compressive sensing by chirp codes: A descriptive tutorial7. Deterministic compressive sensing by chirp codes: A MATLAB® tutorial8. Cyber physical systems for healthcare applications using compressive sensing9. Compressive sensing of electrocardiogram10. Multichannel ECG reconstruction based on joint compressed sensing for healthcare applications11. Neural signal compressive sensing12. Level-crossing sampling: principles, circuits, and processing for healthcare applications13. Compressive sensing of electroencephalogram: a review14. Calibrationless parallel compressed sensing reconstruction for rapid magnetic resonance imaging
