MyoDat includes a number of analysis algorithms specific to EMG, which assist in the detection of muscle activity or fatigue for example, as well as more universal algorithms that you would expect like FFT & PSD.

Pictured below you see a typical EMG signal being analysed using some of these methods (Click on images to enlarge).

Raw EMG	RMS EMG	Integral EMG	FFT of EMG

There are a variety of analysis methods available, including:

• RAW EMG, Rectified EMG & RMS EMG
• Logic display of muscle activity to show agonistic and antagonistic activity
• Automatic maxima and minima values displayed for each muscle contraction
• Integrated EMG (total and optional time base reset)
• Quantified EMG algorithm according to Spaepen
• Spectral frequency analysis for complete test and also for muscle activity only
• Power spectral density analysis with median frequency displayed for fatigue analysis
• Dedicated fatigue analysis with comparative chart facilities
• Correlation facilities in graphical and numerical format
• Numerical analysis of data can be displayed either on screen or as a print out
• Overlay facilities so as to combine EMG data with video camera images*
• User defined settings to customise analysis parameters

As you would expect, its possible to compare data from multiple channels and multiple measurements. MyoDat aims to be as flexible as possible here, you can even view differing types of analysis simultaneously. Pictured below, are examples of such versatility.

Multiple Channels (side-by-side)	Multiple Channels (overlaid)	Multiple Measurements (side-by-side)	Differing Analysis (simultaneously)

MyoDat relates common axes, so as you scroll through time in one channel, the data in other channels will scroll to the same points in time. Similarly channels sharing the same transducer type (or more precisely, the same unit of measure) will be auto-scaled as a group.

Additionally, plug-in DLL support means that programmers/developers are also able to write their own analysis routines for direct seamless integration into MyoDat.

*The overlay facilities are currently in development, will use an add-on module and are expected to be available in summer 2004.

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