Title :
Improving the signal to noise ratio of event-related EEG signals in high risk newborns
Author :
Falkner, Timothy ; Abedi, Ali ; Hayes, Marie ; Paul, Jonathan
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. of Maine, Orono, ME, USA
Abstract :
A soft thresholding technique is used in an attempt to improve the accuracy of signals with low signal-to-noise ratios (SNR). Focusing initially on EEG signals from high-risk infants, the technique has provided us with valuable information on the nature of the signal to improve estimation methods for this type of data.
Keywords :
electroencephalography; medical signal processing; paediatrics; event-related EEG signals; high risk newborns; high-risk infants; signal-to-noise ratios; soft thresholding technique; Astrophysics; Biomedical measurements; Electroencephalography; Enterprise resource planning; Extraterrestrial measurements; Pediatrics; Scalp; Signal processing; Signal to noise ratio; Time measurement;
Conference_Titel :
Communications (QBSC), 2010 25th Biennial Symposium on
Conference_Location :
Kingston, ON
Print_ISBN :
978-1-4244-5709-0
DOI :
10.1109/BSC.2010.5473008
