Automatic Change Detection for Real-Time Monitoring of EEG Signals

In recent years, automatic change detection for real-time monitoring of electroencephalogram (EEG) signals has attracted widespread interest with a large number of clinical applications. However, it is still a challenging problem. This paper presents a novel framework for this task where joint time-...

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Detalles Bibliográficos
Autores principales: Gao, Zhen, Lu, Guoliang, Yan, Peng, Lyu, Chen, Li, Xueyong, Shang, Wei, Xie, Zhaohong, Zhang, Wanming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5893758/
https://www.ncbi.nlm.nih.gov/pubmed/29670541
http://dx.doi.org/10.3389/fphys.2018.00325

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5893758/
https://www.ncbi.nlm.nih.gov/pubmed/29670541
http://dx.doi.org/10.3389/fphys.2018.00325

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