Evaluating the Different Stages of Parkinson’s Disease Using Electroencephalography With Holo-Hilbert Spectral Analysis [PDF]
Frontiers in Aging Neuroscience, 2022 Electroencephalography (EEG) can reveal the abnormalities of dopaminergic subcortico-cortical circuits in patients with Parkinson’s disease (PD). However, conventional time-frequency analysis of EEG signals cannot fully reveal the non-linear processes of
Kuo-Hsuan Chang +17 more
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Revealing the Dynamic Nature of Amplitude Modulated Neural Entrainment With Holo-Hilbert Spectral Analysis [PDF]
Frontiers in Neuroscience, 2021 Patterns in external sensory stimuli can rapidly entrain neuronally generated oscillations observed in electrophysiological data. Here, we manipulated the temporal dynamics of visual stimuli with cross-frequency coupling (CFC) characteristics to generate
Chi-Hung Juan +21 more
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Arbitrary-order Hilbert Spectral Analysis and Intermittency in Solar Wind Density Fluctuations [PDF]
The Astrophysical Journal, 2018 The properties of inertial and kinetic range solar wind turbulence have been investigated with the arbitrary-order Hilbert spectral analysis method, applied to high-resolution density measurements.
Francesco Carbone +6 more
core +13 more sources
On Holo-Hilbert spectral analysis: a full informational spectral representation for nonlinear and non-stationary data. [PDF]
Philos Trans A Math Phys Eng Sci, 2016 The Holo-Hilbert spectral analysis (HHSA) method is introduced to cure the deficiencies of traditional spectral analysis and to give a full informational representation of nonlinear and non-stationary data.
Huang NE +13 more
europepmc +8 more sources
The Full Informational Spectral Analysis for Auditory Steady-State Responses in Human Brain Using the Combination of Canonical Correlation Analysis and Holo-Hilbert Spectral Analysis. [PDF]
J Clin Med, 2022 Auditory steady-state response (ASSR) is a translational biomarker for several neurological and psychiatric disorders, such as hearing loss, schizophrenia, bipolar disorder, autism, etc.
Lee PL +6 more
europepmc +4 more sources
Spectral Analysis of Electricity Demand Using Hilbert–Huang Transform [PDF]
Sensors, 2020 The large amount of sensors in modern electrical networks poses a serious challenge in the data processing side. For many years, spectral analysis has been one of the most used approaches to extract physically meaningful information from a sea of data ...
Joaquin Luque +3 more
doaj +9 more sources
Arbitrary-order Hilbert spectral analysis for time series possessing scaling statistics: Comparison study with detrended fluctuation analysis and wavelet leaders [PDF]
Physical review. E, Statistical, nonlinear, and soft matter physics, 2011 In this paper we present an extended version of Hilbert-Huang transform, namely arbitrary-order Hilbert spectral analysis, to characterize the scale-invariant properties of a time series directly in an amplitude-frequency space. We first show numerically
Yongxiang Huang +5 more
core +7 more sources
New approach to ECE measurements based on Hilbert-transform spectral analysis [PDF]
EPJ Web of Conferences, 2015 Spectroscopy of Electron Cyclotron Emission (ECE) has been established as adequate diagnostic technique for fusion research machines. Among various instruments for ECE diagnostics, only Fourier-transform spectrometers with Martin-Puplett interferometers ...
Pandya Hitesh Kumar B., Divin Yuriy
doaj +3 more sources
An automated extraction of spectral-temporal and spatial-temporal features of EEG for emotion detection [PDF]
Brain InformaticsEmotion is an integral part of human cognitive processes and behaviors. Automatic detection and classification of human emotion has been a goal of applied research.
Monira Islam, Tan Lee
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An amplitude-frequency study of turbulent scaling intermittency using Empirical Mode Decomposition and Hilbert Spectral Analysis [PDF]
, 2008 Hilbert-Huang transform is a method that has been introduced recently to decompose nonlinear, nonstationary time series into a sum of different modes, each one having a characteristic frequency.
Y. X. Huang +3 more
openalex +3 more sources