Normative EMG profiles of 14 muscles at 5 speeds

submitted by At Hof, Institute of Human Movement Sciences & Laboratory of Human Movement Analysis AZG, University of Groningen, PO Box 196, NL-9700 AD Groningen, The Netherlands

e-mail: a.l.hof@med.rug.nl

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.

allmeas.txt    containing the measured average profiles for 14 muscles at 5 speeds
fdata.txt        with the processed data: F0, F1,F2,D0,D1,D2,f0,f1
ddata.txt       D0,D1,D2

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
workspace:
>>> 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.

NEW

plotlimgem.m    plots a recorded EMG together with the estimated profile 'est' and the upper and
lower limits
    'high' and 'low', respectively. In the command screen the gain g and the deviation D^2 are
presented.
    You are prompted for the muscle (1-14 from the string array 'allmusc') and the speed (1-5 = [
0.75 1.00 1.25 1.50 1.75 ] m/s).
    The real attractive thing is to adapt the program in order to analyse your own measured average
EMG profiles.
    I have software available to compute step-averaged EMG profiles, for who is interested.

Zip archive containing all files: hof.zip (250 kB)