Has any research been made on EMG classification across persons?

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Stephen H M Brown

You may want to look into principal component analysis of EMG signals. There have been a number of groups using this technique to identify important characteristics of different types of waveforms, including EMG. A good overview can be found in: Brandon SC et al. 2013. Interpreting principal components in biomechanics: representative extremes and single component reconstruction. Journal of Electromyography and Kinesiology.

Malte Jensen

@Stephen Brown: Thanks for the article, this helped me a lot. Is it understood correctly that PCA analysis of movement (specially for EMG) is also somewhat a niche?

If anyone has any other suggestions, this would help me a great deal.

Yes, I think you're correct. I don't believe there are many groups doing it (particularly for EMG), possibly due to the technical aspects of the analysis.

Danilo Oliveira Silva

Hi,

I am not sure if it is exactly what you are looking for, but, take a look on these papers.

- Briani, R.V., De Oliveira Silva, D., Pazzinatto, M.F., De Albuquerque, C.E., Ferrari, D., Aragão, F.A., et al., 2015. Comparison of frequency and time domain electromyography parameters in women with patellofemoral pain. Clin. Biomech. 30, 302–307. http://dx.doi.org/10.1016/j.clinbiomech.2014.12.014.

- Ferrari, D., Kuriki, H.U., Silva, C.R., Alves, N., Mícolis de Azevedo, F., 2014. Diagnostic accuracy of the electromyography parameters associatedwith anterior knee pain in the diagnosis of patellofemoral pain syndrome. Arch. Phys. Med. Rehabil. 95, 1521–1526. http://dx.doi.org/10.1016/j.apmr.2014.03.028.