publication . Article . Other literature type . 2019

Resource-Aware Distributed Epilepsy Monitoring Using Self-Awareness From Edge to Cloud

Farnaz Forooghifar; Amir Aminifar; David Atienza;
Open Access English
  • Published: 04 Nov 2019 Journal: IEEE Transactions on Biomedical Circuits and Systems, volume 13, issue 6, pages 1,338-1,350 (issn: 1932-4545, eissn: 1940-9990, Copyright policy)
  • Country: Switzerland
Abstract
The integration of wearable devices in humans’ daily lives has grown significantly in recent years and still continues to affect different aspects of high-quality life. Thus, ensuring the reliability of the decisions becomes essential in biomedical applications, while representing a major challenge considering battery-powered wearable technologies. Transferring the complex and energy-consuming computations to fogs or clouds can significantly reduce the energy consumption of wearable devices and result in a longer lifetime of these systems with a single battery charge. In this work, we aim to distribute the complex and energy-consuming machine-learning computatio...
Subjects
free text keywords: Electrical and Electronic Engineering, Biomedical Engineering
Related Organizations
Funded by
EC| DeepHealth
Project
DeepHealth
Deep-Learning and HPC to Boost Biomedical Applications for Health
  • Funder: European Commission (EC)
  • Project Code: 825111
  • Funding stream: H2020 | IA
,
EC| HBP SGA2
Project
HBP SGA2
Human Brain Project Specific Grant Agreement 2
  • Funder: European Commission (EC)
  • Project Code: 785907
  • Funding stream: H2020 | SGA-RIA
Communities
FET H2020FET FLAG: HBP FET Flagship core project
FET H2020FET FLAG: Human Brain Project Specific Grant Agreement 2
Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue