README.TXT (this text)
On this page are the major files related to the papers:
(1) "Speed dependence of averaged EMG profiles in walking." Gait & Posture 16: 78-86 (2002)
and, THIS NEW PAPER:
(2) "Detection of non-standard EMG profiles in walking." Gait & Posture, in press.
By Hof, Elzinga, Grimmius and Halbertsma
There are two subdirectories: ASCII and MFILES.
the measured average profiles for 14 muscles at 5 speeds
fdata.txt with the processed data: F0, F1,F2,D0,D1,D2,f0,f1
These two files can be downloaded into a spreadsheed program like EXCEL, etc. No processing program could be supplied, unfortunately.
The MFILES directory contains the data and some example programs in MatLab format, version 5.2 and higher. (Maybe earlier versions will do as well.)
allmeas.m containing the
measured average profiles for 14 muscles at 5 speeds
fdata.m with the processed data: F0, F1,F2,D0,D1,D2,f0,f1
newlim.m H0, H1, L0, L1
In order to use the following programs, these three mat files should
be loaded into the Matlab
>>> load allmeas ; load fdata ; load newlim
fitplot.m a program to verify the claims made in the paper. Select a muscle and a speed and the result is a figure that shows the measured profile, the estimate with f0/f1 and the estimate with F0F1F2. In the command screen the r.m.s. errors are shown.
Plotmusc.m plots the five profiles for the selected muscle. This is a Matlab function that requires an array from allmeas as an argument,
e.g. >>> plotmusc(TA) shows a plot of Tibialis Anterior, something like Figure 3a.
winterfig.m does a similar thing, but now the EMGs are filterd with a 3 Hz critically damped filter, as recommended by DA Winter (see Discussion) >>> winterfig(TA) show the filtered plot of Tibialis Anterior, something like Figure 3b.
Zip archive containing all files: hof.zip (250