Browsing by Subject "EEG signals"
Now showing items 1-18 of 18
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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 ... -
Calibration of time features and frequency features in the time-frequency domain for improved detection and classification of seizure in newborn EEG signals
( IEEE Computer Society , 2012 , Conference Paper)This paper presents new time-frequency features for seizure detection in newborn EEG signals. These features are obtained by calibrating relevant time features and frequency features in the joint time-frequency domain. The ... -
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 ... -
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 ... -
Distributed in-network processing and resource optimization over mobile-health systems
( Academic Press , 2017 , Article)Advances in wireless and mobile communication technologies has promoted the development of Mobile-health (m-health) systems to find new ways to acquire, process, transport, and secure the medical data. M-health systems ... -
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 ... -
Energy-aware cross-layer optimization for EEG-based wireless monitoring applications
( IEEE Computer Society , 2013 , Conference Paper)Body Area Sensor Networks (BASNs) for healthcare applications have gained significant research interests recently due to the growing number of patients with chronic diseases requiring constant monitoring. Because of the ... -
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 ... -
Evaluation of the modified S-transform for timefrequency synchrony analysis and source localisation
(2012 , Article)This article considers the problem of phase synchrony and coherence analysis using a modified version of the S-transform, referred to here as the Modified S-transform (MST). This is a novel and important time-frequency ... -
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. ... -
Generalised phase synchrony within multivariate signals: An emerging concept in time-frequency analysis
(2012 , Conference Paper)This paper introduces the notion of the instantaneous frequency (IF) based generalized phase synchrony in time-frequency analysis based on the concept of cointegration. This phase synchrony is then quantified by investigating ... -
Generalized Mean Phase Coherence for asynchrony abnormality detection in multichannel newborn EEG
(2012 , Conference Paper)Inter-hemispheric asynchrony within the multichannel recordings of newborn EEG is associated with abnormal functionality of the newborn brain. Mean Phase Coherence (MPC) as a bivariate phase synchrony measure is widely ... -
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) ... -
Improving the classification of newborn EEG time-frequency representations using a combined time-frequency signal and image approach
(2012 , Conference Paper)This paper presents new time-frequency (T-F) features to improve the classification of non-stationary signals such as EEG signals. Previous methods were based only on signal features that were derived from the instantaneous ... -
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 ... -
Interference-aware energy-efficient cross-layer design for healthcare monitoring applications
( Elsevier , 2014 , Article)Body Area Sensor Networks (BASNs) leverage wireless communication technologies to provide healthcare stakeholders with innovative tools and solutions that can revolutionize healthcare provisioning; BASNs thus promotes new ... -
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 ... -
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 ...