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Real-Time Depth of Anaesthesia Assessment Based on Hybrid Statistical Features of EEG
This paper proposed a new depth of anaesthesia (DoA) index for the real-time assessment of DoA using electroencephalography (EEG). In the proposed new DoA index, a wavelet transform threshold was applied to denoise raw EEG signals, and five features were extracted to construct classification models....
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414837/ https://www.ncbi.nlm.nih.gov/pubmed/36015860 http://dx.doi.org/10.3390/s22166099 |