Myon EMG Software Options

ProEMG2.0 has a large range of new functions, including the Wavelet Transform which allows users to analyse and visualise the EMG data in a new and innovative way. ProEMG2.0 has been redesigned and streamlined to make processing of EMG data as quick and easy as possible. Extensive processing options is available in two versions: stand-alone and as a plug in to the Vicon Nexus and Workstation software used to capture and process data acquired with Vicon systems.

Both versions include powerful signal processing algorithms including filters and smoothing, automatic identification of muscle onset/off events, automatic calculation of key parameters and export to C3D and ASCII file formats as well as directly to Microsoft Excel and Word. All processing can be done automatically, making the routine processing of EMG data for clinical or research use quick and easy.

ProEMG is the only software solution on the market where advanced EMG processing is fully integrated with 3D motion capture, making it easy to create data files and reports which contain results from both.

ProActive lets you use EMG or signals from other measurement devices to generate real time biofeedback training protocols. ProActive can be used to design programmes to improve and document a subject's coordination, balance or movement response by displaying one or more biofeedback signals in real time, for example for the rehabilitation of stroke patients or the coordination training of athletes.

Prophysics are making Waves!
ProEMG2.0 is the first major EMG processing software to incorporate the Wavelet transform as a core processing option.  The Wavelet transform enables you to visualise and analyse both the timing and the frequency information of the signal simultaneously.  A colour coded intensity graph clearly shows when the signal is active as well as in what frequency bands the activity is strongest, giving valuable information about the dynamics of the muscle activity.  The Wavelet transform is based on peer-reviewed scientific publications and is optimised to the characteristics of a typical EMG signal.