Classification of patient conditions using known and artificial classes
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United States of America Patent
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Feb 5, 2013
Grant Date -
Jun 7, 2012
app pub date -
Feb 13, 2012
filing date -
Feb 21, 2007
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Abstract
Methods of classifying a subject's condition are described. The method includes: receiving measured signals from the subject; processing the measured signals using a computing device to identify a class associated with an identified condition of the subject; introducing an artificial class, the artificial class being associated with an unknown condition of the subject; classifying a feature vector from the subject into the identified class or the artificial class; and generating a signal in response to classifying the feature vector. The measured signals from the subject may include at least one signal extracted from brain activity of the subject.
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