Comput. Biol. Med. - Real time identification of active regions in muscles from high density surface electromyogram.

Tópicos

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Resumo

RPOSE: Developing a real time method for the localization of muscle activity regions from high density surface electromyogram (EMG).METHOD: The inverse problem of source localization is solved by a regularized technique applied to an over-determined problem searching for the least mean squares approximation of the recorded signal with a linear combination of a set of basis waveforms (subject specific).RESULTS: The method, tested on simulations, provides accurate estimates of the mean location of the sources (in ideal conditions, it has about 1 mm of mean error in locating the depth, negligible error in locating the transverse location of the active region). For reasonably small perturbations, it is stable to possible detection problems (e.g., misalignment between the electrodes and the fibres, noise), inaccurate knowledge of the anatomical and physical properties of the investigated tissues (e.g., tissue thickness, location of IZ, fibre length, tissue conductivity) with mean estimation errors of about 1.5-2.8 mm.CONCLUSIONS: An innovative algorithm is proposed for the non-invasive localization of the active regions of a muscle. It is real time and opens potential future applications for prosthesis control and biofeedback.

Resumo Limpo

rpose develop real time method local muscl activ region high densiti surfac electromyogram emgmethod invers problem sourc local solv regular techniqu appli overdetermin problem search least mean squar approxim record signal linear combin set basi waveform subject specificresult method test simul provid accur estim mean locat sourc ideal condit mm mean error locat depth neglig error locat transvers locat activ region reason small perturb stabl possibl detect problem eg misalign electrod fibr nois inaccur knowledg anatom physic properti investig tissu eg tissu thick locat iz fibr length tissu conduct mean estim error mmconclus innov algorithm propos noninvas local activ region muscl real time open potenti futur applic prosthesi control biofeedback

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