It's sourceforge page is here.
Still a very young project, but it has turned out to be quite usable software.
It all started in early March 2011, due to lack of software to read my Philips Respironics CPAP machines SD card on Linux. I only just got on the machine, and my treatment was getting nowhere fast. By chance, hunting for programming information on my CPAP machine, I stumbled across the CPAPTalk forum and the wonderful group of people who hang out there and help one another deal with this affliction.
|Early Python Version|
SleepyHead began as a cheap and dirty python hack, involving some loader code I wrote for the Philips Respironics System One data, and the very well made MathPlotLib graphing library.
A lot of the groundwork for hacking the undocumented PR System One data format was laid by Mike Hoolehan, creator of the Onkor project, an excellent open source web based program that has similar goals. I did help hack a fair bit of this data format too, discovering how to get the waveform alignment working properly, found the event counts in the summary data, and a few other useful bits of info.
|Oximeter Overlay Experiments|
I was very much focused on interactivity, as I wanted to link CPAP data with other sleep machine data sources, and python quickly became too slow for the purpose.
C++ and wxWidgets
I switched the graphs to OpenGL, and it quickly became apparent wx wasn't the best choice for this kind of app.
|Qt port prior to graph rewrite|
This project could not have happened without the encouragement and help of numerous CPAPTalk members.
I'd like to say a special thankyou to the following people, for their much appreciated contribution in shaping this software, and putting up with me in many emails:
Mike Hoolehan, Mark Brushke, Troy Schultz, John Masters and James Marshall.
Also like to say thanks to the many CPAPTalkers who kindly shared their private CPAP data so I could make this software work, who tested the program in all it's buggy glory, and shared their cool ideas with me.
There is a flickr photo stream with more screenshots taken over the course of developing this application.