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A Low Computational Cost Algorithm for REM Sleep Detection Using Single Channel EEG
The push towards low-power and wearable sleep systems requires using minimum number of recording channels to enhance battery life, keep processing load small and be more comfortable for the user. Since most sleep stages can be identified using EEG traces, enormous power savings could be achieved by...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2014
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4204008/ https://www.ncbi.nlm.nih.gov/pubmed/25113231 http://dx.doi.org/10.1007/s10439-014-1085-6 |