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Theory of Lehmer transform and its applications in identifying the electroencephalographic signature of major depressive disorder
We propose a novel transformation called Lehmer transform and establish a theoretical framework used to compress and characterize large volumes of highly volatile time series data. The proposed method is a powerful data-driven approach for analyzing extreme events in non-stationary and highly oscill...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8901916/ https://www.ncbi.nlm.nih.gov/pubmed/35256640 http://dx.doi.org/10.1038/s41598-022-07413-y |