Stage - independent , single lead EEG sleep spindle detection using the 1 continuous wavelet transform and local weighted smoothing
نویسندگان
چکیده
1 Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK 4 2 Wolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Oxford, UK 5 3 Sleep and Circadian Neuroscience Institute, Nuffield Department of Medicine, University of Oxford, UK 6 4 Department of Biomedical Informatics, Emory University, Atlanta, Georgia, USA 7 5 Department of Biomedical Engineering, Georgia Institute of Technology, USA 8
منابع مشابه
Stage-independent, single lead EEG sleep spindle detection using the continuous wavelet transform and local weighted smoothing
Sleep spindles are critical in characterizing sleep and have been associated with cognitive function and pathophysiological assessment. Typically, their detection relies on the subjective and time-consuming visual examination of electroencephalogram (EEG) signal(s) by experts, and has led to large inter-rater variability as a result of poor definition of sleep spindle characteristics. Hitherto,...
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تاریخ انتشار 2015