As of now, the student on the myoelectric signal processing project has written software to classify and analyze the data. He is still working out a few bugs in the data analysis, but so far the processor is mostly able to classify and recognize classes of data….which, translated, means it is able to identify electrical “signatures” for different types of arm movements.  Additionally, the team has written the software for showing the data in real time. The next step, in addition to finishing up some final parts of the software, is to connect the signal processing to a real signal. Using a beagle board (like the guts of a mini computer …no screen or keyboard, just the innards needed to “drive” an arm or a hand), the team will be able to hook up live electrodes and test out the processor with some real data. Stay tuned!

This entry was posted on Thursday, September 24th, 2009 at 12:06 pm and is filed under amputees, Arms, device design, Prosthetic Limb. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.