Articles with "huang transform" as a keyword



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Recognizing Parkinson’s disease gait patterns by vibes algorithm and Hilbert-Huang transform

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Published in 2021 at "Engineering Science and Technology, an International Journal"

DOI: 10.1016/j.jestch.2020.12.005

Abstract: Abstract Parkinson’s disease (PD) is the second most common neurodegenerative disorder all over the world. There are resting tremor, bradykinesia, and rarely dystonia, all of which are motor symptoms, among the manifestations of PD. But… read more here.

Keywords: vibes algorithm; parkinson disease; algorithm hilbert; huang transform ... See more keywords
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Decision thresholding on fMRI activation maps using the Hilbert–Huang transform

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Published in 2022 at "Journal of Neural Engineering"

DOI: 10.1088/1741-2552/ac7f5e

Abstract: Objective. Functional magnetic resonance imaging (fMRI) requires thresholds by which to identify brain regions with significant activation, particularly for experiments involving real-life paradigms. One conventional non-parametric approach to generating surrogate data involves decomposition of the… read more here.

Keywords: hilbert huang; brain; huang transform; activation maps ... See more keywords
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Accelerating the fatigue analysis based on strain signal using Hilbert–Huang transform

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Published in 2019 at "International Journal of Structural Integrity"

DOI: 10.1108/ijsi-06-2018-0032

Abstract: Purpose The purpose of this paper is to present the application of Hilbert–Huang transform (HHT) for fatigue damage feature characterisation in the time–frequency domain based on strain signals obtained from the automotive coil springs. Design/methodology/approach… read more here.

Keywords: damage; huang transform; original signal; hilbert huang ... See more keywords
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Flutter Test Data Processing Based on Improved Hilbert-Huang Transform

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Published in 2018 at "Mathematical Problems in Engineering"

DOI: 10.1155/2018/3496870

Abstract: Flutter tests are conducted primarily for the purpose of modal parameter estimation and flutter boundary prediction, the accuracy of which is severely affected by the acquired data quality, structural modal density, and nonstationary conditions. An… read more here.

Keywords: test data; huang transform; improved hilbert; flutter ... See more keywords
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Spasticity assessment based on the Hilbert–Huang transform marginal spectrum entropy and the root mean square of surface electromyography signals: a preliminary study

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Published in 2018 at "BioMedical Engineering OnLine"

DOI: 10.1186/s12938-018-0460-1

Abstract: BackgroundMost of the objective and quantitative methods proposed for spasticity measurement are not suitable for clinical application, and methods for surface electromyography (sEMG) signal processing are mainly limited to the time-domain. This study aims to… read more here.

Keywords: study; spasticity; based hilbert; surface electromyography ... See more keywords
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Landslide site delineation from geometric signatures derived with the Hilbert–Huang transform for cases in Southern Taiwan

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Published in 2020 at "Open Geosciences"

DOI: 10.1515/geo-2020-0187

Abstract: Abstract Landslides are a frequently occurring threat to human settlements. Along with global climate change, the occurrence of landslides is the forecast to be even more frequent than before. Among numerous factors, topography has been… read more here.

Keywords: signatures derived; transform; huang transform; geometric signatures ... See more keywords
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Spectral denoising based on Hilbert–Huang transform combined with F-test

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Published in 2022 at "Frontiers in Chemistry"

DOI: 10.3389/fchem.2022.949461

Abstract: Due to the influence of uncontrollable factors such as the environment and instruments, noise is unavoidable in a spectral signal, which may affect the spectral resolution and analysis result. In the present work, a novel… read more here.

Keywords: hilbert huang; transform; spectral denoising; based hilbert ... See more keywords