Browsing Technology Innovation and Engineering Education Unit by Author "n 90698394"
Now showing items 1-20 of 22
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Accelerometer-based fetal movement detection
Mesbah, M.; Khlif, M.S.; East, C.; Smeathers, J; Colditz, P.; Boashash, B.... more authors ... less authors ( IEEE , 2011 , Conference Paper)Monitoring fetal wellbeing is a compelling problem in modern obstetrics. Clinicians have become increasingly aware of the link between fetal activity (movement), well-being, and later developmental outcome. We have recently ... -
Accurate and efficient implementation of the time–frequency matched filter
O'Toole, J.M.; Mesbah, M; Boashash, B ( Institution of Engineering and Technology , 2010 , Article)The discrete time-frequency matched filter should replicate the continuoustime-frequency matched filter, but the methods differ. To avoid aliasing, thediscrete method transforms the real-valued signal to the complex-valued ... -
Analysis of the time-varying cortical neural connectivity in the newborn EEG: A time-frequency approach
Omidvarnia, A; Mesbah, M; O'Toole, J.M.; Colditz, P; Boashash, B ( IEEE , 2011 , Conference Paper)Relationships between cortical neural recordings as a representation of functional connectivity between cortical brain regions were quantified using different time-frequency criteria. Among these, Partial Directed Coherence ... -
An automatic time-frequency procedure for interference suppression by exploiting their geometrical features
Saulig, Nicoletta; Sucic, Victor; Boashash, Boualem ( IEEE , 2011 , Conference Paper)This paper presents an adaptive method for interference suppression in the Wigner-Ville distribution. The structure of the artifacts in the Wigner-Ville distribution has been analyzed to optimally mask the signal Wigner-Ville ... -
Detection of seizure signals in newborns
Boashash, Boualem; Barklem, P; Keir, M ( 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 ... -
Editorial: Time-Frequency Approach to Radar Detection, Imaging, and Classification
Thayaparan, Thayananthan; Stankovic, Ljubisa; Amin, Moeness; Chen, Victor; Cohen, Leon; Boashash, B.... more authors ... less authors ( Institution of Engineering and Technology , 2010 , Article)One of the central problems in exploiting the radar data is the analysis of atime series. The problem at hand is how to extract the information present in the data and use it to its full potential. Traditionally, radar ... -
Estimating the number of components of a multicomponent nonstationary signal using the short-term time-frequency Rényi entropy
Sucic, Victor; Saulig, Nicoletta; Boashash, Boualem ( Springer , 2011 , Article)The time-frequency Rényi entropy provides a measure of complexity of a nonstationary multicomponent signal in the time-frequency plane. When the complexity of a signal corresponds to the number of its components, then this ... -
Fast and memory-efficient algorithms for computing quadratic time–frequency distributions
O'Toole, J.M.; Boashash, B ( Elsevier Inc , 2013 , Article)Algorithms for computing time–frequency distributions (TFDs) limit computation time by reducing numerical operations. But these fast algorithms do not reduce the memory load. This article presents four TFD algorithms to ... -
Image quality metrics based multifocus image fusion
Saleem, A; Beghdadi, A; Boashash, B ( IEEE , 2011 , Conference Paper)We describe an innovative methodology for block based multifocus image fusion in the spatial domain. The main idea is to use blind or no reference blur metrics for image fusion applications. Two blur quality metrics ... -
Improved Discrete Definition of Quadratic Time-Frequency Distributions
O'Toole, J.M.; Mesbah, M.; Boashash, B. ( IEEE , 2010 , Article)Computation of a time-frequency distribution (TFD) requires a discrete version of the continuous distribution. This discrete TFD (DTFD) should be free from aliasing and conserve all the important mathematical properties ... -
An improved method for nonstationary signals components extraction based on the ICI rule
Lerga, J; Sucic, V; Boashash, B ( IEEE , 2011 , Conference Paper)This paper proposes an improved adaptive algorithm for components localization and extraction from a noisy multicomponent signal time-frequency distribution (TFD). The algorithm, based on the intersection of confidence ... -
Instantaneous Frequency Estimation of Multi-component Non-Stationary Signals using Multi-view Time-Frequency Distributions Based on the Adaptive Fractional Spectrogram
Khan, N.A.; Boashash, B. ( IEEE , 2013 , Article)This letter presents a novel algorithm to compute the instantaneous frequency (IF) of a multicomponent nonstationary signal using a combination of fractional spectrograms (FS). A high resolution time frequency distribution ... -
Kalman filter-based time-varying cortical connectivity analysis of newborn EEG
Omidvarnia, A.H.; Mesbah, M.; Khlif, M.S.; O'Toole, J.M.; Colditz, P.; Boashash, B.... more authors ... less authors ( IEEE , 2011 , Conference Paper)Multivariate Granger causality in the timefrequency domain as a representation of time-varying cortical connectivity in the brain has been investigated for the adult case. This is, however, not the case in newborns as ... -
Multiple-view time-frequency distribution based on the empirical mode decomposition
Stevenson, N.J; Mesbah, M; Boashash, B ( Institution of Engineering and Technology , 2010 , Article)This study proposes a novel, composite time-frequency distribution (TFD) constructed using a multiple-view approach. This composite TFD utilises the intrinsic mode functions (IMFs) of the empirical mode decomposition (EMD) ... -
A Nonlinear Model of Newborn EEG with Nonstationary Inputs
Stevenson, N.J; Mesbah, M; Boylan, G.B; Colditz, P.B; Boashash, B ( Springer US , 2010 , Article)Newborn EEG is a complex multiple channel signal that displays nonstationary and nonlinear characteristics. Recent studies have focussed on characterizing the manifestation of seizure on the EEG for the purpose of automated ... -
A nonparametric feature for neonatal EEG seizure detection based on a representation of pseudo-periodicity
Stevenson, N.J.; O'Toole, J.M.; Rankine, L.J.; Boylan, G.B.; Boashash, B. ( Elsevier Ltd , 2011 , Article)Automated methods of neonatal EEG seizure detection attempt to highlight the evolving, stereotypical, pseudo-periodic, nature of EEG seizure while rejecting the nonstationary, modulated, coloured stochastic background in ... -
Robust estimation of highly-varying nonlinear instantaneous frequency of monocomponent signals using a lower-order complex-time distribution
Omidvarnia, A.; Azemi, G.; O'Toole, J.M.; Boashash, B. ( Elsevier B.V. , 2013 , Article)This paper proposes an approach for robust estimation of highly-varying nonlinear instantaneous frequency (IF) in monocomponent nonstationary signals. The proposed method is based on a lower order complex-time distribution ... -
Time-frequency approach to radar detection, imaging, and classification
Thayaparan, T; Stankovic, L; Amin, M; Cohen, L; Boashash, B ( Institution of Engineering and Technology , 2010 , Article)One of the central problems in exploiting the radar data is the analysis of atime series. The problem at hand is how to extract the information present in the data and use it to its full potential. Traditionally, radar ... -
Time-Frequency Characterization of Tri-Axial Accelerometer Data for Fetal Movement Detection
Khlif, M.S.; Boashash, B; Layeghy, S; Ben-Jabeur, T; Mesbah, M; East, C; Colditz, P... more authors ... less authors ( IEEE , 2011 , Conference Paper)Monitoring fetal wellbeing is a significant problem in modern obstetrics. Clinicians have become increasingly aware of the link between fetal activity and its well-being. Using data acquired by accelerometry sensors, we ... -
Time-Frequency Distributions Based on Compact Support Kernels: Properties and Performance Evaluation
Abed, M; Belouchrani, A; Cheriet, M; Boashash, B ( IEEE , 2012 , Article)This paper presents two new time-frequency distributions (TFDs) based on kernels with compact support (KCS) namely the separable (CB) (SCB) and the polynomial CB (PCB) TFDs. The implementation of this family of TFDs ...