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Formal verification of energy consumption for an EEG monitoring wireless body area sensor network
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Wireless Body Area Sensor Networks (BASNs) are increasingly gaining notable attention in the domain of real-time and non-invasive human health care due to their cost-effectiveness. Minimizing their energy consumption under ...
Resource provisioning for cloud-assisted body area network in a smart home environment
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Article)
In recent years, cloud-assisted body area network (CABAN) technologies have made their entrance in the Smart healthcare field, such as Smart home environment, and play a significant role for healthcare data storage, ...
Neural network conditional random fields for self-paced brain computer interfaces
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
The task of classifying EEG signals for self-paced Brain Computer Interface (BCI) applications is extremely challenging. This difficulty in classification of self-paced data stems from the fact that the system has no clue ...
Compress or Interfere?
(
IEEE Computer Society
, 2019 , Conference Paper)
Rapid evolution of wireless medical devices and network technologies has fostered the growth of remote monitoring systems. Such new technologies enable monitoring patients' medical records anytime and anywhere without ...
A Deep Learning Approach for Vital Signs Compression and Energy Efficient Delivery in mhealth Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Article)
© 2013 IEEE. Due to the increasing number of chronic disease patients, continuous health monitoring has become the top priority for health-care providers and has posed a major stimulus for the development of scalable and ...
RF energy harvesting communications: Recent advances and research issues
(
Springer International Publishing
, 2016 , Book chapter)
Green radio communications has got a lot of attention in recent years due to its telling effects on telecom business and environment. On the other side, energy harvesting (EH) communication has emerged as a potential ...
Optimal energy exchange scheme for energy efficient hybrid-powered communication systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
The spread of the wireless communication devices resulted in a remarkable growth of power consumption for telecommunication systems to satisfy the users' demands. Thus, new revolutionary solutions are needed to enhance ...
Directed graph-based wireless EEG sensor channel selection approach for cognitive task classification
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
Wireless electroencephalogram (EEG) sensors have been successfully applied in many medical and computer brain interface classifications. A common characteristic of wireless EEG sensors is that they are low powered devices, ...
User-centric network selection in multi-RAT systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
Rising numbers of mobile devices and wireless access technologies motivate network operators to leverage spectrum across multiple radio access networks, in order to significantly enhance quality of service as well as network ...
Energy efficient antenna selection for a MIMO relay using RF energy harvesting
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
Energy harvesting has emerged as a promising technique which helps to increase the sustainability of wireless networks. In this paper, we consider a network with a single source, single destination and a single relay ...