Browsing by Author "n 87827668 "
Now showing items 1-18 of 18
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Accelerometer-based fetal movement detection
( IEEE , 2011 , Conference)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
( 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
( IEEE , 2011 , Conference)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 ... -
Automatic seizure detection based on the combination of newborn multi-channel EEG and HRV information Advances in Nonstationary Electrophysiological Signal Analysis and Processing
(2012 , Article)This article proposes a new method for newborn seizure detection that uses information extracted from both multi-channel electroencephalogram (EEG) and a single channel electrocardiogram (ECG). The aim of the study is to ... -
Detecting Fetal Movements Using Non-Invasive Accelerometers: A Preliminary Analysis
( IEEE , 2010 , Article)Monitoring fetal movement is important to assess fetal health. Standard clinical fetal monitoring technologies include ultrasound imaging and cardiotocography. Both have limited prognostic value and require significant ... -
Detection of neonatal seizure using multiple filters
( IEEE , 2010 , Conference)It is often impossible to accurately differentiate between seizure and non-seizure related activities in irifants based on clinical manifestations alone. The electroencephalogram (EEG) is therefore the best tool available ... -
EEG amplitude and correlation spatial decay analysis for neonatal head modelling
(2012 , Conference)There is an increased need to better understand the relation between brain structures and functions in newborns by using EEG source localization techniques. This requires a realistic head model that would take into account ... -
Generalized Mean Phase Coherence for asynchrony abnormality detection in multichannel newborn EEG
(2012 , Conference)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 ... -
Improved Discrete Definition of Quadratic Time-Frequency Distributions
( 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 ... -
Instantaneous frequency based newborn EEG seizure characterisation
(2012 , Article)The electroencephalogram (EEG), used to noninvasively monitor brain activity, remains the most reliable tool in the diagnosis of neonatal seizures. Due to their nonstationary and multi-component nature, newborn EEG seizures ... -
Kalman filter-based time-varying cortical connectivity analysis of newborn EEG
( IEEE , 2011 , Conference)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
( 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
( 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 ... -
Platoon Transitional Maneuver Control System: A Review
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Connectivity and autonomy are considered two of the most promising technologies to improve mobility, fuel consumption, travel time, and traffic safety in the automated transportation industry. These benefits can be realized ... -
R-wave detection: A comparative analysis of four methods using newborn piglet ECG
( IEEE , 2010 , Conference)In the electrocardiograph (ECG), R-wave is the positive upward deflection in the QRS complex which represents the depolarization of both left and right ventricles. Accurate detection of the R-wave peaks in the ECG plays a ... -
Reinforcement Learning-based Control of Signalized Intersections having Platoons
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Smart transportation cities are based on intelligent systems and data sharing while human drivers generally have limited capabilities and imperfect observations in traffics. The perception of Connected and Autonomous Vehicle ... -
Time-frequency analysis of heart rate variability in neonatal piglets exposed to hypoxia
(2011 , Conference)To determine whether the sympathetic nervous system plays any role in the inter-individual variation of cardiovascular response to hypoxia in newborns, neonatal heart rate variability (HRV) analysis was used to assess ... -
Time-Frequency Characterization of Tri-Axial Accelerometer Data for Fetal Movement Detection
( IEEE , 2011 , Conference)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 ...
