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Time-frequency and instantaneous frequency concepts
(
Elsevier Inc.
, 2016 , Book chapter)
This chapter provides an extended in-depth treatment of the material described in Chapter I. It focuses on the precise description of the key concepts and formulations needed to formally describe time-frequency (t, f) ...
Time-frequency diagnosis, condition monitoring, and fault detection
(
Elsevier Inc.
, 2016 , Book chapter)
This chapter aims to further illustrate the (t,f) approach by selecting a few key generic applications of diagnosis and monitoring. The topic is represented by seven sections.
One key application is electrical power ...
Advanced design and specifications of TFDs
(
Elsevier Inc.
, 2016 , Book chapter)
This chapter describes specific examples of design of time-frequency distributions (TFDs), as a complement to the material described in Chapters 2 and Section 3.1. This key time-frequency (t,f) topic is covered in 11 ...
EEG background features that predict outcome in term neonates with hypoxic ischaemic encephalopathy: A structured review
(
Elsevier Ireland Ltd
, 2016 , Article)
Objectives
Hypoxic ischaemic encephalopathy is a significant cause of mortality and morbidity in the term infant. Electroencephalography (EEG) is a useful tool in the assessment of newborns with HIE. This systematic review ...
Time-frequency methodologies in neurosciences
(
Elsevier Inc.
, 2016 , Book chapter)
This chapter presents a number of time-frequency (t,f) techniques that can provide advanced solutions to several problems in neuro-sciences with focus on the monitoring of brain abnormalities using EEG and other physiological ...
Time-frequency synthesis and filtering
(
Elsevier Inc.
, 2016 , Book chapter)
This chapter presents methods and techniques to design time-varying linear systems such as filters with precise time-frequency (t,f) specifications; this capability can then allow one to model and predict accurately the ...
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 ...
Design and implementation of a multi-sensor newborn EEG seizure and background model with inter-channel field characterization
(
Elsevier Inc.
, 2019 , Article)
This paper presents a novel multi-sensor non-stationary EEG model; it is obtained by combining state of the art mono-sensor newborn EEG simulators, a multilayer newborn head model comprised of four homogeneous concentric ...
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 ...