Cargando…
Optimal Combination of Mother Wavelet and AI Model for Precise Classification of Pediatric Electroretinogram Signals
The continuous advancements in healthcare technology have empowered the discovery, diagnosis, and prediction of diseases, revolutionizing the field. Artificial intelligence (AI) is expected to play a pivotal role in achieving the goals of precision medicine, particularly in disease prevention, detec...
Autores principales: | Kulyabin, Mikhail, Zhdanov, Aleksei, Dolganov, Anton, Maier, Andreas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347045/ https://www.ncbi.nlm.nih.gov/pubmed/37447663 http://dx.doi.org/10.3390/s23135813 |
Ejemplares similares
-
Enhancing Electroretinogram Classification with Multi-Wavelet Analysis and Visual Transformer
por: Kulyabin, Mikhail, et al.
Publicado: (2023) -
OculusGraphy: Signal Analysis of the Electroretinogram in a Rabbit Model of Endophthalmitis Using Discrete and Continuous Wavelet Transforms
por: Zhdanov, Aleksei, et al.
Publicado: (2023) -
Discrete Wavelet Transform Analysis of the Electroretinogram in Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder
por: Constable, Paul A., et al.
Publicado: (2022) -
The Optimal Selection of Mother Wavelet Function and Decomposition Level for Denoising of DCG Signal
por: Jang, Young In, et al.
Publicado: (2021) -
Wavelets: classification, theory, and applications
por: Valle, Manel del, et al.
Publicado: (2012)