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A new framework is proposed for comparing evaluation metrics in classification applications with imbalanced datasets (i.e., the probability of one class vastly exceeds others). For model selection as well as testing the performance of a classifier, this framework finds the most suitable evaluation metric amongst a number of metrics. We apply this framework to compare two metrics: overall accuracy...
We used acute multi-channel extracellular recording techniques to extract neural activity associated with external sensory events from the spinal cords of rats. Five classes of sensory events were recorded - electrical stimulation of the nerves in each of four digits from one forepaw and periods during which no stimulation occurred (idle periods). A simple feature extraction and classification scheme...
Ensemble averaging of the electroencephalogram is known to be a good tool for characterizing various event related potentials. An important part of ensemble averaging is to know the time reference that the signals should be averaged. In able-bodied individuals the muscle activity or switch activation is used to time-lock the averages. In people with spinal cord injuries who lack the ability to produce...
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