Lyyoness/ALS-Exploratory-Data-Analysis

In this project I present a concise overview of past attempts at brain-computer interface (BCI) communication with ALS patients and some of the hypotheses about why they have been unsuccessful to date. My project is an exploratory data analysis of 86 hours of current EEG data collected from a CLIS (completely locked-in state) ALS patient. The analysis is aimed at extracting cognitive activity in different frequency bands and observing their change over time. The goal of this is to identify cognitive measures that are stable enough to facilitate the identification of "high interest/high alertness" periods during which BCI communication with the patient is more likely to succeed. The preliminary results of the data analysis are presented and a follow-up experiment (currently in progress) is described.

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