Intracortical encephalogram signal analysis

New article name is 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 is comprised of two sections; 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.

The prediction, detection and interpretation of abnormal brain electrical activity is an area wherein technological advancement is necessary in that current state-of-the-art methods for electroencephalography (EEG) are retrospective, prone to subjectivity and obviate real-time data interpretation that is often necessary to allow timely and accurate therapeutic intervention by neurologist and neurosurgeon. Intracortical Encephalogram Signal Analysis is comprised of neurosurgeon clinical researchers and those who create artificial intelligent system for computing signal analysis, Fourier Transforms and Knowledge Discovery in Databases.

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. [28, 29, 31, 25] The Arificial Intelligent and Knowledge Discovery of neurological signals component was first derived from using Intracortical Electrodes in rats to predicting epilepsy seizures in rats by 6 seconds [15]. These models used in teh clinical environs of noisy domains [12], spectral analysis [13, 16], Knowledge Discovery in Databases (KDD) [14], discrete finite automata [14] and sequential & coincident power spectra [17] are incorporated into the ICE component to read, learn and predict severe neurological events.

External links

• example.com