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Product details:
- ISBN 10: 0128212489
- ISBN 13: 9780128212486
- Author: Mahdi Khosravy
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.
Table of contents:
Chapter 1: Compressive sensing theoretical foundations in a nutshell
Chapter 2: Recovery in compressive sensing: a review
Chapter 3: A descriptive review to sparsity measures
Chapter 4: Compressive sensing in practice and potential advancements
Chapter 5: A review of deterministic sensing matrices
Chapter 6: Deterministic compressive sensing by chirp codes: a descriptive tutorial
Chapter 7: Deterministic compressive sensing by chirp codes: a MATLAB® tutorial
Chapter 8: Cyber physical systems for healthcare applications using compressive sensing
Chapter 9: Compressive sensing of electrocardiogram
Chapter 10: Multichannel ECG reconstruction based on joint compressed sensing for healthcare
Chapter 11: Neural signal compressive sensing
Chapter 12: Level-crossing sampling: principles, circuits, and processing for healthcare
Chapter 13: Compressive sensing of electroencephalogram: a review
Chapter 14: Calibrationless parallel compressed sensing reconstruction for rapid magnetic resonance imaging
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