Browsing by Subject "Signal detection"
Now showing items 1-20 of 26
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A Cyber-Security Methodology for a Cyber-Physical Industrial Control System Testbed
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Due to recent increase in deployment of Cyber-Physical Industrial Control Systems in different critical infrastructures, addressing cyber-security challenges of these systems is vital for assuring their reliability and ... -
A review of time-frequency matched filter design with application to seizure detection in multichannel newborn EEG
( Elsevier Inc. , 2014 , Article)This paper presents a novel design of a time-frequency (t-f) matched filter as a solution to the problem of detecting a non-stationary signal in the presence of additive noise, for application to the detection of newborn ... -
Automated detection of anomalies in sewer closed circuit television videos using proportional data modeling
( International Society for Trenchless Technology , 2016 , Conference Paper)Sewer pipeline condition information is usually collected using closed circuit television (CCTV). Moreover, in order to evaluate the condition of pipeline, data should be processed by a certified operator, which is time ... -
Automatic signal abnormality detection using time-frequency features and machine learning: A newborn EEG seizure case study
( Elsevier B.V. , 2016 , Article)Time-frequency (TF) based machine learning methodologies can improve the design of classification systems for non-stationary signals. Using selected TF distributions (TFDs), TF feature extraction is performed on multi-channel ... -
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 ... -
Design of a high-resolution separable-kernel quadratic TFD for improving newborn health outcomes using fetal movement detection
(2012 , Conference Paper)Prior to birth, fetus health can be monitored by the variety and scale of its movements. In addition, at birth, EEG signals are recorded from at-risk newborns. Studies have shown that both fetal movements and newborn EEGs ... -
Detection of perinatal hypoxia using time-frequency analysis of heart rate variability signals
(2013 , Conference Paper)This paper presents a time-frequency approach to detect perinatal hypoxia by characterizing the nonstationary nature of heart rate variability (HRV) signals. Quadratic time-frequency distributions (TFDs) are used to represent ... -
Detection of seizure signals in newborns
( IEEE , 1999 , Conference Paper)This paper considers a system design for processing a multidimensional biomedical signal formed by EEG, ECG, EOG and motion recorded from a newborn, for the purpose of detection of epileptic seizures in newborns as an ... -
Effective seizure detection through the fusion of single-feature enhanced-k-NN classifiers of EEG signals
( IEEE , 2013 , Conference Paper)Electroencephalogram (EEG) physiological signals are widely used for detecting epileptic seizure. To reduce complexity stemming from the dimensionality problem, EEG signals are often reduced into a smaller set of discriminant ... -
Event-Triggered fault detection, isolation and control design of linear systems
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)In this paper, the problem of event-Triggered integrated fault detection, isolation and control (E-IFDIC) for discrete-Time linear systems is considered. Using a filter to represent, characterize, and specify the E-IFDIC ... -
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. ... -
Flow-based intrusion detection algorithm for supervisory control and data acquisition systems: A real-time approach
( John Wiley and Sons Inc , 2021 , Article)Intrusion detection in supervisory control and data acquisition (SCADA) systems is integral because of the critical roles of these systems in industries. However, available approaches in the literature lack representative ... -
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-resolution time-frequency distributions for fall detection
( SPIE , 2015 , Conference Paper)In this paper, we examine the role of high-resolution time-frequency distributions (TFDs) of radar micro-Doppler signatures for fall detection. The work supports the recent and rising interest in using emerging radar ... -
Innovative ad-hoc wireless sensor networks to significantly reduce leakages in underground water infrastructures
( IEEE , 2010 , Conference Paper)This paper presents an ICT solution to overcome the problem of water dispersion in water distribution networks. Leakage prevention and breaks identification in water distribution networks are fundamental for an adequate ... -
Nonparametric structural damage detection algorithm for ambient vibration response: Utilizing artificial neural networks and self-organizing maps
( American Society of Civil Engineers (ASCE) , 2016 , Article)This study presentes a new nonparametric structural damage detection algorithm that integrates self-organizing maps with a pattern-recognition neural network to quantify and locate structural damage. In this algorithm, ... -
On the detection and estimation of correlated signal using circular antenna arrays
( IEEE , 2011 , Conference Paper)This paper presents the design and analysis of smart antenna systems used for the detection and estimation of correlated radio signals encountered in multipath environments using circular antenna arrays. The MUSIC algorithm ... -
On the selection of time-frequency features for improving the detection and classification of newborn EEG seizure signals and other abnormalities
(2012 , Conference Paper)This paper presents new time-frequency features for seizure detection in newborn EEG signals. These features are obtained by translating some relevant time features or frequency features to the joint time-frequency domain. ... -
On the use of time-frequency features for detecting and classifying epileptic seizure activities in non-stationary EEG signals
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)This paper proposes new time-frequency features for detecting and classifying epileptic seizure activities in non-stationary EEG signals. These features are obtained by translating and combining the most relevant time-domain ... -
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 ...