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Now showing items 31-40 of 95
Deep learning approach for EEG compression in mHealth system
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
The emergence of mobile health (mHealth) systems has risen the challenges and concerns due to the sensitivity of the data involved in such systems. It is essential to ensure that these data are well delivered to the health ...
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, ...
Global stabilization of autonomous underactuated underwater vehicles in 3D space
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
In this paper, global asymptotic stabilization of an autonomous underactuated underwater vehicle (AUUV) is investigated, where the number of actuators of the AUUV is less than the vehicle's degrees of freedom. The model ...