@article{(Open Science Index):https://publications.waset.org/pdf/17277,
	  title     = {Increased Signal to Noise Ratio in P300 Potentials by the Method of Coherent Self-Averaging in BCI Systems},
	  author    = {Ricardo Espinosa},
	  country	= {},
	  institution	= {},
	  abstract     = {The coherent Self-Averaging (CSA), is a new method proposed in this work; applied to simulated signals evoked potentials related to events (ERP) to find the wave P300, useful systems in the brain computer interface (BCI). The CSA method cleans signal in the time domain of white noise through of successive averaging of a single signal. The method is compared with the traditional method, coherent averaging or synchronized (CA), showing optimal results in the improvement of the signal to noise ratio (SNR). The method of CSA is easy to implement, robust and applicable to any physiological time series contaminated with white noise
},
	    journal   = {International Journal of Biomedical and Biological Engineering},
	  volume    = {7},
	  number    = {11},
	  year      = {2013},
	  pages     = {698 - 702},
	  ee        = {https://publications.waset.org/pdf/17277},
	  url   	= {https://publications.waset.org/vol/83},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 83, 2013},
	}