I have done this. It is quite tricky but the following seems to work, you may need to fiddle with the variables.
First identify the saccades using a low pass filter diferentiator with a threshold of between 20 - 100 degree/sec.
Then take a point say, 10 msecs or so after the end of a saccade and 10 msecs before the beginning of the next saccade.
Using linear regression on the original data between these two points. Use the slope as gain and check the residuals for the quality of the fit.
Hope this helps.
if you want to know more e-mail me
-----Original Message-----
From: nick webb [SMTP:[log in to unmask]]
Sent: 08 July 1999 11:43
To: [log in to unmask]
Subject: Nystagmus Algorithm?
Can anyone point me in the direction of an algorithm for analysing nystagmus
from EOG recordings? I am interested in how the Gain of the slow phase
changes with time. My eye movement files are in MATLAB format at the
moment.
Any help would be greatly appreciated....
cheers,
Nick Webb
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