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For each episode, find the global max and the global min
Create a "threshold to count the local max/min compared to the temporal distance to the global max/min" function (example: if we are close to the max/min, you'd better have a clear local max/min (ex : 80% of the global max/min value), but if you are far (temporally) to the global min/max, 50% of the global max/min function is enough).
Count all the local maxs and mins that are above the threshold relatively to their position to the global max/min
Calculate the number of spasmodic events per patient by counting the number of events which respect the condition:
(number of mins + number of max) > 2
plot the result as a bar chart (x axis : subject i = one bar, y-axis : height of the bar = nb of spasmodic events
Compare qualitatively MEMA profiles:
For each episode, find the global max and the global min
Split the episodes in 2 categories : |max|>|min| or |min|>|max|
for each category, recalibrate events on latency by centering on the |max| if |max|>|min| (or vice versa)
create a function that does: for each category, display averaged signal + enveloppe associated for each subject
Compare each subject to the averaged response of the control group (actually ask yourself what you want to compare)
The text was updated successfully, but these errors were encountered:
Count MEMA spasmodic events:
(number of mins + number of max) > 2
Compare qualitatively MEMA profiles:
The text was updated successfully, but these errors were encountered: