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Transmission delay minimization for energy constrained communication in wireless body area sensor networks
(
IEEE
, 2014 , Conference Paper)
Body Area Sensor Networks (BASNs) is a promising technology, which promotes smart and scalable vital sign monitoring of the chronically ill and elderly people live an independent life, besides providing people with quality ...
Automated class-based compression for real-time epileptic seizure detection
(
IEEE Computer Society
, 2018 , Conference Paper)
The emergence of next generation wireless networking technologies has motivated a paradigm shift in development of viable mobile-Health applications for ubiquitous real-time healthcare monitoring. However, remote healthcare ...
High performance EEG feature extraction for fast epileptic seizure detection
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
Epilepsy is a neurological disorder that affects around 70 million people worldwide. Early detection of epileptic seizures has the potential to help patients in improving their quality of life. Electroencephalogram (EEG) ...
Energy efficient EEG monitoring system for wireless epileptic seizure detection
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Wireless EEG monitoring systems have been successfully used for seizure detection outside clinical settings. The wireless EEG sensor nodes consume a considerable amount of battery energy to acquire, encode and transmit the ...
In-network data reduction approach based on smart sensing
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
The rapid advances in wireless communication and sensor technologies facilitate the development of viable mobile-Health applications that boost opportunity for ubiquitous real- time healthcare monitoring without constraining ...
Evidence theory-based approach for epileptic seizure detection using EEG signals
(
IEEE
, 2012 , Conference Paper)
Electroencephalogram (EEG) is one of the potential physiological signals used for detecting epileptic seizure. Discriminant features, representing different brain conditions, are often extracted for diagnosis purposes. ...
Design and analysis of an adaptive compressive sensing architecture for epileptic seizure detection
(
IEEE Computer Society
, 2013 , Conference Paper)
Epileptic detection techniques rely heavily on the Electroencephalography (EEG) as a representative signal carrying valuable information pertaining to the current brain state. In this work, we investigate the stability of ...
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 ...
Distributed cross-layer optimization for healthcare monitoring applications
(
IEEE Computer Society
, 2014 , Conference Paper)
Mobile Health (mHealth) systems leverage wireless and mobile communication technologies to provide healthcare stakeholders with innovative tools and solutions that can revolutionize healthcare provisioning. Body Area Sensor ...
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 ...