As part of a larger biomechanics study, I have .wav files from four muscles, and simultaneous video and forceplate data.
Dear Lindsey,
Currently I'm running a study which deal directly with this subject. So, I've used the ODIN software by CodaMotion, in which it's possible integrate until three measures of variables dependents in the same time (i.e, EMG, Force Plate data and kinematics = simultaneous video). However, after this procedure we must do the analysis using a offline Matlab routine. The results of my research has been relevant. In any way, if you don't have a Odin software, another possibility is to apply directly a Matlab routine, firstly you can calculate each dependent variable and after this, you can create a integrate routine. It's no difficult, but it requires more effort.
I hope this helps.
http://www.codamotion.com/index.php/applications/software/odin
Hi,
There is a software with name "EMG Analysis" used to graping as well as analysis the EMG signals. following you can find a link which introduces the software:
https://www.motion-labs.com/software_emg_analysis.html
And here you can find its user guide:
https://www.motion-labs.com/pdf/emganalysis_ug.pdf
Considering multi-source data, I would suggest you to analyze raw data with open source tools. Actually, most of research analyses are performed in this way with offline code (i.e., Matlab). However, you would find specific tools which include somehow more recent methods used to analyze your data (as suggested above). Another recommendation (just before analyze data) is to set up your questions (hypotheses) associated with your experiment (data). Perhaps the last could help you to choose an specific software.
We have a Noraxon Myosystem and are using their software for our patient assessments as well as for research purposes. I find their options/solutions quite versatile, they offer many reports, processing tools, etc...
Dear colleague I am agree with those who suggest you to use Matlab software. Good luck.
NM
I would strongly agree with Dr. Marrero-Gordillo. Matlab is by far the most powerful and flexible software for signal analysis that is convenient to use. They also have great tutprials and support material. Further, many conceptual and technical questions can be answered through the Biomch-l listserv.
I am usually writing my own analysis via Matlab or C++. This way I can control everything and run unique and specials analysis that the EMG company does not allow you to do. This way it also easier to test for error and their types.
Personally I suggest to utilise a) custom made analysis in Matlab; or, b) as a commercial alternative (but very clinically based) EMG easy report by Andrea Merlo Bioengineering (which has been developed with several experts clinical gait analysis in Italy and Switzerland; I found it very complete as a clinical tool). Disclosure: I have no commercial interest in any :-)
I am in agreement with several others on using Matlab for your analysis. You will have the greatest number of options.
Wavelet tools in the Matlab is suitable to do this. Filtering and gaining and another several options for yor data are possible in Matlab.
I offer using Matlab for your analyze. It will be good for the other analysis such as motion analyze too. In addition, If you couldn't filtering through EMG, Matlab can help you...
I'm agree with Matlab for classic and custom analysis . good luck
I'm agree with Matlab for classic and custom analysis . good luck
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