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.
1. Cover image - p. i 2. Title page - p. ii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. List of contributors - p. xiii 6. Chapter 1: Compressive sensing theoretical foundations in a nutshell - p. 1 7. Chapter 2: Recovery in compressive sensing: a review - p. 25 8. Chapter 3: A descriptive review to sparsity measures - p. 43 9. Chapter 4: Compressive sensing in practice and potential advancements - p. 65 10. Chapter 5: A review of deterministic sensing matrices - p. 89 11. Chapter 6: Deterministic compressive sensing by chirp codes: a descriptive tutorial - p. 111 12. Chapter 7: Deterministic compressive sensing by chirp codes: a MATLAB® tutorial - p. 125 13. Chapter 8: Cyber physical systems for healthcare applications using compressive sensing - p. 145 14. Chapter 9: Compressive sensing of electrocardiogram - p. 165 15. Chapter 10: Multichannel ECG reconstruction based on joint compressed sensing for healthcare applications - p. 185 16. Chapter 11: Neural signal compressive sensing - p. 201 17. Chapter 12: Level-crossing sampling: principles, circuits, and processing for healthcare applications - p. 223 18. Chapter 13: Compressive sensing of electroencephalogram: a review - p. 247 19. Chapter 14: Calibrationless parallel compressed sensing reconstruction for rapid magnetic resonance imaging - p. 269 20. Index - p. 283
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.
1. Cover image - p. i 2. Title page - p. ii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. List of contributors - p. xiii 6. Chapter 1: Compressive sensing theoretical foundations in a nutshell - p. 1 7. Chapter 2: Recovery in compressive sensing: a review - p. 25 8. Chapter 3: A descriptive review to sparsity measures - p. 43 9. Chapter 4: Compressive sensing in practice and potential advancements - p. 65 10. Chapter 5: A review of deterministic sensing matrices - p. 89 11. Chapter 6: Deterministic compressive sensing by chirp codes: a descriptive tutorial - p. 111 12. Chapter 7: Deterministic compressive sensing by chirp codes: a MATLAB® tutorial - p. 125 13. Chapter 8: Cyber physical systems for healthcare applications using compressive sensing - p. 145 14. Chapter 9: Compressive sensing of electrocardiogram - p. 165 15. Chapter 10: Multichannel ECG reconstruction based on joint compressed sensing for healthcare applications - p. 185 16. Chapter 11: Neural signal compressive sensing - p. 201 17. Chapter 12: Level-crossing sampling: principles, circuits, and processing for healthcare applications - p. 223 18. Chapter 13: Compressive sensing of electroencephalogram: a review - p. 247 19. Chapter 14: Calibrationless parallel compressed sensing reconstruction for rapid magnetic resonance imaging - p. 269 20. Index - p. 283
