Program Committees

Welcome to my clinical research page

My clinical research falls under the umbrella of a system called mindICE. The mindICE project comprises an autonomous intelligent knowledge discovery system that broadens the scope of toolkits that seamlessly orchestrate neuroscience, computational mathematics and autonomous adaptive computing into a turnkey system. It provides a means to use intelligent agents to predict neurological events. This optimization of technology will reduce device profile, improve portability, and minimize need for transcutaneous connection


	Dr. Andrew White		Dr. Rory Lewis		Dr. Allen Waziri		Dr. Robert Neumann

Dr. Waziri recently developed a patent pending method and apparatus for performing a novel, more accurate, bedside measuring device that measures brain activity deep inside the brain located within the cortex (intracortical). Our device, called an Intracortical EEG multicontact electrode (ICE), comprises a catheter with platinum sensors that, when inserted into the brain during a bedside procedure allows for previously unattainable recording directly from the cerebral cortex of patients with acute brain injury. and; On the computational mathematics side of the team
Dr. Lewis and Dr. White have implemented robust algorithms that achieved, for the first time, a crucial step toward epilepsy prediction: Consistently predicting epilepsy seizures in rats by 6 seconds]. We have tested these findings in a multitude of environments including noisy domains and using a variety of methodologies including spectral analysis, Knowledge Discovery in Databases], discrete finite automata and sequential & coincident power spectra.
Dr. Neumann brings experience from his past participation in the construction and optimization of one of the first magnetoencephalography systems, with corresponding insight into brain structure and electrical function, to his current position caring for patients with highly complex acute brain injuries. In conjunction, the cumulative experience and widely divergent areas of expertise within our collaboration provide a potentially unmatched platform upon which to derive success in the development of our revolutionary system of automated EEG analysis.

The mindICE provides novel features to doctors, medical clinicians and statisticians to solve the issue of dynamic autonomous bed-side monitoring. This research also has a direct, immediate connection to human health because it enables doctors to receive continuous EEGs from their patients comprising both temporal and frequency data in the form of an intelligent agent that i) alerts the staff when abnormal EEG events occur, ii) suggests what the abnormality is, and iii) accepts feedback that either reinforces its previous suggestion or makes it reprogram itself for future similar events.

The mindICE system, records I. Intracortical EEG signals and immediately compares (A) it to years of research (a) and years of V - feedback from previous medical doctors comparing the instantaneous pattern (b) in the time (b) and frequency (c) domains, merging rules from all models (d) into a database (q) where it was processed by our previous work (f) and then data mined using KDD (g) with tools (m, k, h and i) that form the Rules (Classifiers) (j) that are then sent back to the database (e) which grows in knowledge over time.

What's the deal with the funny looking name mindICE?

"inner" because it will aid people with various neurological disorders by probing for knowledge deep inside the brain. The "8" is in the name because is "aids" people and sounds like "8". My team uses data bases extensively and mathematical principles based on mining data in databases. so mixing the words data and aid we come out with "8a". joining inner with 8a we get mindICE. yes its wacky but its fun.

Updates

2010_11_02 Extracting raw data prior to Medical GUI unit. Click here