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Non-stationary neural signal to image conversion framework for image-based deep learning algorithms
This paper presents a time-efficient preprocessing framework that converts any given 1D physiological signal recordings into a 2D image representation for training image-based deep learning models. The non-stationary signal is rasterized into the 2D image using Bresenham’s line algorithm with time c...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079945/ https://www.ncbi.nlm.nih.gov/pubmed/37035716 http://dx.doi.org/10.3389/fninf.2023.1081160 |