Compressive Sensing in Health Care

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 INDICE: Section I. COMPRESSIVE SENSING THEORY 1. Compressive Sensing Theory and Implementation in a Nutshell 2. Deterministic Spectral Compressive Sensing by Chirp Codes 3. A MATLAB tutorial to Deterministic Compressive Sensing by Chirp Codes Section II. APPLICATION TO HEALTH CARE 4. Compressive sensing in the field - Medical case studies 5. Cyber physical systems for healthcare applications using compressive sensing 6. Exploiting Prior Knowledge in Compressed Sensing Wireless ECG Systems 7. On Compressed Sensing and Classification of ECG and EEG Signals 8. Level-Crossing Sampling: Principles, Circuits, and Processing 9. Calibrationless Parallel Compressed Sensing Reconstruction for Rapid Magnetic Resonance Imaging 10. Multichannel ECG Reconstruction based on Joint Compressed Sensing for Healthcare Applications 11. Compressive Sensing of Electrocardiogram

• ISBN: 978-0-12-821247-9
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 300
• Fecha Publicación: 01/05/2020
• Nº Volúmenes: 1
• Idioma: Inglés