Project Plan (ET)

April 16, 2010

in Final Project

I will be trying to create a tool to visualize Electroencephalography (EEG) data.  The specific experiment is measuring brain response to repeated auditory stimulation interspersed with periodic rest states.  Eventually, the brain response gets into phase with the auditory stimulation (a series of clicks).  However, what is difficult to show is the time it takes the brain to get into phase with the sounds and whether that varies over time.
I would like to produce a visualization which demonstrates the differences in time it takes to get into phase, which itself will vary over time.  I also want to produce a visualization which can compare between multiple patients.
The initial readings are:

Lin, Jessica et al. Visualizing and Discovering Non-Trivial Patterns in Large Time Series Databases. Information Visualization, 2005, 4(2), 61-82.

Marc Weber, Marc Alexa, and Wolfgang Muller.  Visualizing Time-Series on Spirals. Proceedings of the IEEE Symposium on Information Visualization, 2001, 7.
Cutting J E, 2002, “Representing motion in a static image: constraints and parallels in art, science, and popular culture” Perception 31(10) 1165 – 1193.
I am currently looking for more readings on representing large time series.
By April 23, I hope to have a basic structure for reading in the information and displaying the waves that represent the data.  I will also have scraped the data for the relevant information needed for my visualizations (eg peaks).
By April 30,  I hope to have an a few initial visualizations completed as well as an analysis on how well they seem to work.
By May 6, I should have a useful visualization and will have developed a way to compare between multiple patients data.

The first visualization I will make is the basic (somewhat obvious) one of wave forms.  I hope to then create one which will isolate the peaks of the waves, and draw connections between them.  It make be worth looking ,brat the slope between these connections.  Since the stimulation is periodic in nature, I am also considering testing the spiral method as described by Marc et al.

My data will be provided by the University of Pennsylvania Brain Behavior Laboratory.  It is EEG data obtained while a subject undergoes 40 seconds of repeated half second auditory stimulation (a series of clicks).  Which is interspersed with longer rest periods.  There will be both raw data and averaged data, from multiple electrodes.  This data will also be from multiple patients.

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