"Wavelet Analysis" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Signal and data processing method that uses decomposition of wavelets to approximate, estimate, or compress signals with finite time and frequency domains. It represents a signal or data in terms of a fast decaying wavelet series from the original prototype wavelet, called the mother wavelet. This mathematical algorithm has been adopted widely in biomedical disciplines for data and signal processing in noise removal and audio/image compression (e.g., EEG and MRI).
| Descriptor ID |
D058067
|
| MeSH Number(s) |
E05.959 G17.915 L01.224.800.750
|
| Concept/Terms |
Wavelet Analysis- Wavelet Analysis
- Analyses, Wavelet
- Analysis, Wavelet
- Wavelet Analyses
- Wavelet Signal Processing
- Processing, Wavelet Signal
- Processings, Wavelet Signal
- Signal Processing, Wavelet
- Signal Processings, Wavelet
- Wavelet Signal Processings
- Wavelet Transform
- Transform, Wavelet
- Transforms, Wavelet
- Wavelet Transforms
- Spatiotemporal Wavelet Analysis
- Analyses, Spatiotemporal Wavelet
- Analysis, Spatiotemporal Wavelet
- Spatiotemporal Wavelet Analyses
- Wavelet Analyses, Spatiotemporal
- Wavelet Analysis, Spatiotemporal
|
Below are MeSH descriptors whose meaning is more general than "Wavelet Analysis".
Below are MeSH descriptors whose meaning is more specific than "Wavelet Analysis".
This graph shows the total number of publications written about "Wavelet Analysis" by people in this website by year, and whether "Wavelet Analysis" was a major or minor topic of these publications.
To see the data from this visualization as text,
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| Year | Major Topic | Minor Topic | Total |
|---|
| 2012 | 1 | 1 | 2 |
| 2016 | 0 | 2 | 2 |
| 2017 | 1 | 2 | 3 |
| 2018 | 1 | 4 | 5 |
| 2019 | 0 | 2 | 2 |
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Below are the most recent publications written about "Wavelet Analysis" by people in Profiles.
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COVID-19 detection with traditional and deep features on cough acoustic signals. Comput Biol Med. 2021 09; 136:104765.
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Clustering and classification of virus sequence through music communication protocol and wavelet transform. Genomics. 2021 01; 113(1 Pt 2):778-784.
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Time series and fractal analyses of wheezing: a novel approach. Phys Eng Sci Med. 2020 Dec; 43(4):1339-1347.
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Level of underreporting including underdiagnosis before the first peak of COVID-19 in various countries: Preliminary retrospective results based on wavelets and deterministic modeling. Infect Control Hosp Epidemiol. 2020 Jul; 41(7):857-859.
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Identifying Risk Factors Of A(H7N9) Outbreak by Wavelet Analysis and Generalized Estimating Equation. Int J Environ Res Public Health. 2019 04 12; 16(8).
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Ultrasound Doppler waveform assessment: the story continues. J Perinat Med. 2019 Feb 25; 47(2):139-141.
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Applying machine learning to continuously monitored physiological data. J Clin Monit Comput. 2019 Oct; 33(5):887-893.
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Data-Adaptive Spatiotemporal ERP Cleaning for Single-Trial BCI Implementation. IEEE Trans Neural Syst Rehabil Eng. 2018 07; 26(7):1334-1344.
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Classification of Sputum Sounds Using Artificial Neural Network and Wavelet Transform. Int J Biol Sci. 2018; 14(8):938-945.
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Analysis of multi-level spatial data reveals strong synchrony in seasonal influenza epidemics across Norway, Sweden, and Denmark. PLoS One. 2018; 13(5):e0197519.