Search
Now showing items 1-8 of 8
NPRP 6-885-2-364 - Progress Report Number 5- "Localization of EEG Abnormalities for Improving Brain Monitoring of Newborn Babies at Risk of Brain Injury using a multichannel time-frequency signal processing approach"
(2017 , Report)
This is a progress report for the project NPRP 6 - 885 - 2 – 364 - Progress Report Number 5- Localization of EEG Abnormalities for Improving Brain Monitoring of Newborn Babies at Risk of Brain Injury using a multichannel ...
Wideband radar based fall motion detection for a generic elderly
(
IEEE Computer Society
, 2017 , Conference Paper)
Radar-based automated fall detection systems are considered as an important and emerging technology for elderly assisted living. These radar systems provide non-intrusive sensing capabilities to detect fall events. Various ...
An Improved Design of High-Resolution Quadratic Time-Frequency Distributions for the Analysis of Nonstationary Multicomponent Signals Using Directional Compact Kernels
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Article)
This paper presents a new advanced methodology for designing high resolution time-frequency distributions (TFDs) of multicomponent nonstationary signals that can be approximated using piece-wise linear frequency modulated ...
Improving DOA Estimation Algorithms Using High-Resolution Quadratic Time-Frequency Distributions
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Article)
This paper addresses the problem of direction of arrival (DOA) estimation and blind source separation (BSS) for nonstationary signals in the underdetermined case. These two problems are strongly related to the mixing matrix ...
Range-Doppler radar sensor fusion for fall detection
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Falls are the major cause of accidents in the elderly population. Propelled by their non-intrusive sensing capabilities and robustness to heat and lighting conditions, radar-based automated fall detection systems have ...
Performance evaluation of time-frequency image feature sets for improved classification and analysis of non-stationary signals: Application to newborn EEG seizure detection
(
Elsevier B.V.
, 2017 , Article)
This study demonstrates that a time-frequency (TF) image pattern recognition approach offers significant advantages over standard signal classification methods that use t-domain only or f-domain only features. Two approaches ...
A robust high-resolution time-frequency representation based on the local optimization of the short-time fractional Fourier transform
(
Elsevier Inc.
, 2017 , Article)
The Locally Optimized Spectrogram (LOS) defines a novel method for obtaining a high-resolution time-frequency (t,f) representation based on the short-time fractional Fourier transform (STFrFT). The key novelty of the LOS ...
Surrogate data test for nonlinearity of EEG signals: A newborn EEG burst suppression case study
(
Elsevier Inc.
, 2017 , Article)
This paper applies the surrogate data method to investigate the presence of nonlinearity in neonatal electroencephalogram (EEG) burst suppression (B/S) patterns in order to rationalize the use of nonlinear methods for ...