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    Dear Readers,

    On 1 November I posted the following message:

    >I would be grateful if someone could direct me to a software which I
    >could use to high/low pass filter EMG signal stored in an ASCII file.
    >(Excel add-in, or standalone DOS or W3.1/W95 software). If you have an
    >algorythm of such filters, please send it I will write the program in
    >Turbo Pascal.
    >I have already searched the IN haystack without any real success...

    >From the replies my personal choice was the program by Gordon Robertson
    (see details below in the summary) and I found it absolutely wonderful.
    I use the program since and I can recommend it to anyone. I have always
    admired those who let others have such nice softwares for free...
    Generally thanks for the others too who were all very helpful.

    Here comes a summary of the replies:

    From: Alan R Morris
    We are using the most flexible software for writing analysis programs:
    MATLAB. You can write a filter in about 5 minutes and the progamming
    environment comes with already developed filters. The educationsal
    version is not cheap $500Cdn but you can get the student version which
    has the same capability but only a limited matrix size, for only $99Cdn.
    I would find out from a nearby university and see if they have the
    software and do a demo for you. Check out the MATLAB website at . Good luck

    From: Virgil Stokes
    Do you ever read the ISB newsletter?
    I have written extensive software for filtering and
    smoothing of TS data (including EMG ASCII file data). It is written in
    Turbo PASCAL 7.0.

    From: Dan Becque
    Winter's biomechanics textbook has an algorhythm that you can write into
    Turbo if someone doesn't come up with something else easier.

    From: "D. Gordon E. Robertson, Ph.D."
    I have a program that can filter EMG data (or other signals)
    from ASCII type data files. The program, BioProc, can read
    data from several types of data structures including, BioWare
    DAT files and Ariel .ANA files. Ii has its own native format
    including an ASCII format. The ASCII file must have a particular
    structure. A program called Conv2BPA reads ASCII files and then
    requests information necessary for running BioProc.
    You can download these programs with some sample data from out
    ftp site at:
    User name: guest
    Password: guest
    The selfextracting archive is called, BP158.EXE

    From: "Hughes, Richard"
    You may find the following reference useful if you are willing to do a
    little programming:
    Kaiser, J.F. and Reed, W.A. (1977) Data smoothing using low-pass digital
    filters. Rev. Sci. Instrum. 48: 1447-1457.

    From: Ross Bowen
    There are several signal processing software packages which you might
    use for your analysis. However, I suggest MATLAB, it has signal
    processing ability as well as other numerical capabilities. I am sending
    in part some code which I have written for processing EMG data files.
    Please take note that this is only part of a much larger program and may
    not seem complete but it should get you started. Ross
    (Please contact Ross if you need the code. Gabor Barton)

    From: RUN Technologies
    Our company has developed and markets a software package we call DATAPAC
    III that can do the job for you. It is organized as a series of modules
    that can be purchased according to need. It will accept many types of
    binary and floating point data files, and also has an ASCII file import
    feature. In terms of frequency filters, it has high pass, low pass, band
    pass, band stop and notch filters using the FIR (finite impulse
    response) algorithm. All filters have adjustable cutoff frequencies and
    adjustable rolloff efficiency. You can also view the response profile of
    the filters you create in graphics displays.
    Our web site, indicated at the base of this message, can provide more
    information and prices. You can also download a demo version of the
    software, including tutorials. And please contact me directly if you
    have any questions. web site:

    From: Michael Guttormsen
    I am currently using MatLab with the Digital Signal Processing (DSP)
    toolbox. In this toolbox are strong tools for signal processing. I will
    strongly recommend you to try MatLab for solving your problem.
    Else I have an algorithm for lovpas filtering written i C++, which I
    include at the bottom of this message.
    (Contact Michael if you need the code. Gabor Barton)
    Beside this I have previously searched the internet with key words as
    CPP (C++, where you could try pascal) and filtrering, and i have found
    program examples for a wide range of algorithms.

    From: Dr Rami Abboud
    Matlab software has built-in modules that you can use for all sort of
    signal processing including low/high pass filters. It works on most
    platforms (Win 3.11, 95...).

    If you have GX on your system, or have a PC or MAC I can send you the
    code for a great highpass filter I use for emg, the lowpass would be
    easy to write. I don't have a server that will allow me to send the
    binary executable of GX, but I could mail it, or others closer to you
    may have it. It is distributed with Motion Analysis Systems and with
    Mac Reflex systems. It is not the type of code that will help you
    program in another language as it is a stack based language and you just
    use key words like "fourier" and it does a FFT on the last array on the
    stack, then use the word "bfourier" with the numbers 15, 600 and you now
    have high passed filtered data with a cut off of 15 hz (sample rate of
    600 in this case). It's great for rapid development of programs, but it
    runs slow...

    -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
    Dr Gabor Barton MD
    Manager, Gait Analysis Laboratory UIN (ICQ): 2625928
    Alder Hey Children's Hospital tel: +44 (0)151 252 5949
    Eaton Road, Liverpool, L12 2AP, UK fax: +44 (0)151 252 5846
    -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --

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