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Intracortical encephalogram signal analysis : ウィキペディア英語版 | Intracortical encephalogram signal analysis
Intracortical encephalogram signal analysis (minedICE) is the learning and subsequent prediction of electrical activity inside the grey matter of the brain produced by the firing of neurons within the brain. The device was made by clinical researchers and medical Doctors at Columbia University, University of Colorado at Anschutz Medical Campus, and the University of Colorado at Colorado Springs. Intracortical encephalogram signal analysis has two components: 1) an intracortical EEG multicontact electrode (ICE) that inserted through a patient's skull and deep into the grey matter of the patient, and 2) an artificial intelligent agent that is trained in neurological signal analysis. ==Clinical use== The (ICE) component comprises a catheter with platinum sensors that, when inserted into the brain allows for recording directly from the cerebral cortex of patients with acute brain injury. The Artificial Intelligent (''see'' Machine learning) and Knowledge Discovery of neurological signals component was first derived from using Intracortical Electrodes in rats (''see'' Brain–computer interface) to predicting epilepsy seizures in rats by 6 seconds (''see'' Seizure prediction) (). These models used in the clinical environs of noisy domains, spectral analysis, knowledge discovery in databases (KDD), discrete finite automata and sequential and coincident power spectra are incorporated into the ICE component to read, learn and predict severe Neurological disorders.
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