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.