I promised my girlfriend that I'd take a look at the data and see if I could come up with something useful. It's quite likely that I'll just end up admitting defeat (smarter people have tried before...), but it's still a very interesting problem which also gives me a chance to learn something new. She promised to provide me with some real data and any required background information. Here's a list of things I plan to do with the data:
- Find or write a simple tool for displaying the time and frequence graphs of a selected window of the EEG data. This will allow me to get familiar with the data and the possible common patterns.
- Apply tools like genetic algorithms or neural networks (for example self-organizing maps) on the data and let the computer come up with the heuristics for detecting the sleep stages.
- Validate the effectiveness of these tools against the manual scoring and the existing semi-automated tools.
Let's see how this turns out...