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Adaptive compression and optimization for real-time energy-efficient wireless EEG monitoring systems
(
IEEE
, 2013 , Conference Paper)
Recent technological advances in wireless body sensor networks (WBSN) have made it possible for the development of innovative medical applications to improve health care and the quality of life. Electroencephalography ...
Real-time implementation and evaluation of an adaptive energy-aware data compression for wireless EEG monitoring systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
Wireless sensor technologies can provide the leverage needed to enhance patient-caregivers collaboration through ubiquitous access and direct communication, which promotes smart and scalable vital sign monitoring of the ...
Towards energy efficient relay placement and load balancing in future wireless networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
This paper presents an energy efficient relay deployment algorithm that determines the optimal location and number of relays for future wireless networks, including Long Term Evolution (LTE)-Advanced heterogeneous networks. ...
Deep Reinforcement Learning Algorithm for Smart Data Compression under NOMA-Uplink Protocol
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
One of the highly promising radio access strategies for enhancing performance in the next generation cellular communications is non-orthogonal multiple access (NOMA). NOMA offers a number of advantages including better ...
Energy-efficient on-board processing technique for wireless epileptic seizure detection systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
The growth of wireless body area sensor networks (WBASNs) has led the way to advancements In healthcare applications and patient monitoring systems; epileptic seizure lies at the heart of these promising technologies. For ...
Dynamic Network Selection in Heterogeneous Wireless Networks: A user-centric scheme for improved delivery
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Article)
The increasing tendency toward extreme network densification has motivated network operators to leverage spectrum across multiple radio access networks to significantly enhance spectral efficiency, quality of service, and ...
Energy-cost-distortion optimization for delay-sensitive M-health applications
(
IEEE Computer Society
, 2015 , Conference Paper)
Mobile-health (m-health) systems leverage wireless and mobile communication technologies to promote new ways to acquire, process, transport, and secure the raw and processed medical data to provide the scalability needed ...
Energy efficient mobile relay selection for two-hop wireless networks
(
IEEE Computer Society
, 2014 , Conference Paper)
In this paper, we propose a relay selection strategy for randomly distributed multiple relays. A single relay is selected for transmitting signal from a fixed source to a fixed destination which requires minimum total ...
Performance evaluation for compression-accuracy trade-off using compressive sensing for EEG-based epileptic seizure detection in wireless tele-monitoring
(
IEEE
, 2013 , Conference Paper)
Brain is the most important part in the human body controlling muscles and nerves; Electroencephalogram (EEG) signals record brain electric activities. EEG signals capture important information pertinent to different ...
Energy-efficient networks selection based deep reinforcement learning for heterogeneous health systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Smart health systems improve the existing health services by integrating information and technology into health and medical practices. However, smart healthcare systems are facing major challenges including limited network ...