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 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 informationPresents an intuitive introduction to compressive sensing, including MATLAB tutorialsCovers applications of compressive sensing in health care

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