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Design of a Time-Frequency Algorithm for Automatic Eeg Artifact Removal
(
Hamad bin Khalifa University Press (HBKU Press)
, 2016 , Conference Paper)
The injuries suffered by newborns during birth are a major health issue. To improve the health outcomes of sick newborns using EEG measurements, a number of recent studies focused on the use of high-resolution Time-Frequency ...
Efficiency validation of one dimensional convolutional neural networks for structural damage detection using a SHM benchmark data
(
International Institute of Acoustics and Vibration, IIAV
, 2018 , Conference Paper)
In this paper, a novel one dimensional convolution neural network (1D-CNN) based structural damage assessment technique is validated with a benchmark study published by IASC-ASCE Structural Health Monitoring Task Group in ...
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 ...
Human gait recognition with cane assistive device using quadratic time-frequency distributions
(
Institution of Engineering and Technology
, 2015 , Article)
In this study, the authors consider the problem of human gait recognition in the presence of a walking cane using radars. Quadratic time-frequency distributions are used to provide the local signal behaviour over frequency ...
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 ...
Time-frequency features for pattern recognition using high-resolution TFDs: A tutorial review
(
Elsevier Inc.
, 2015 , Article)
This paper presents a tutorial review of recent advances in the field of time-frequency (t, f) signal processing with focus on exploiting (t, f) image feature information using pattern recognition techniques for detection ...
Micro-Doppler characteristics of elderly gait patterns with walking AIDS
(
SPIE
, 2015 , Conference Paper)
In this paper, we analyze the micro-Doppler signatures of elderly gait patterns in the presence of walking AIDS using radars. The signatures are based on real data experiments conducted in a laboratory environment using ...
Orthogonalized partial directed coherence for functional connectivity analysis of newborn EEG
(2012 , Conference Paper)
The aim of this study is to develop a time-frequency method and test its applicability to investigating directional cortical connectivity in the newborn brain considering the effect of volume conduction. We modified ...
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 ...
EEG amplitude and correlation spatial decay analysis for neonatal head modelling
(2012 , Conference Paper)
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 ...