README file for SangRaas directory:

define_norm.m -> computes and returns normalization constants
derived from both MVC trials and the fastest walking trials.
These normalization constants are then applied to the 
estimated muscle stimulations before they are filtered
to estimate activation.

lowpass.m -> returns lowpass filter based stimulation and activation estimates.

process_perry.m -> takes as input the digitized version of the 
Perry stimulation profiles and runs them through the Raasch
bilinear filter to obtain activation estimates.

SangRaas.m -> takes an EMG data structure, preprocesses it, 
and uses the Sanger and low pass methods and Raasch filter to
estimate the muscle stimulations and activations of each data stream.  Outputs are renormalized to reflect a percentage of maximal effort.

raasch.mdl -> Simulink model of Raasch bilinear filter; used to convert between stimulation and activation.

wrapper.m -> wrapper function used to run stimulation and activation estimation for each data set currently collected.