Energy efficiency of medical devices and healthcare applications
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| Other Authors | |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
London :
Academic Press,
2020.
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9780128190463 0128190469 9780128190456 0128190450 |
| Physical Description | 1 online resource (xiii, 170 pages) : illustrations (some color) |
Cover
Table of Contents:
- AI-based techniques on edge devices to optimize energy efficiency in m-Health applications
- Applying an efficient evolutionary algorithm for EEG signal feature selection and classification in decision-based systems
- Edge computing for energy-efficient smart health systems : data and application-specific approaches
- Energy-efficient EEG monitoring systems for wireless epileptic seizure detection
- Intelligent energy-aware decision-making at the edge in healthcare using fog infrastructure
- Deep learning-based security schemes for implantable medical devices
- Secure medical treatment with deep learning on embedded board
- Blockchain applications for healthcare.