dc.contributor.author |
Clancy, Edward A. |
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dc.date.accessioned |
2011-10-04T13:20:39Z |
|
dc.date.available |
2011-10-04T13:20:39Z |
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dc.date.issued |
1997 |
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dc.identifier.citation |
From "MEC 97," Proceedings of the 1997 MyoElectric Controls/Powered Prosthetics Symposium
Fredericton, New Brunswick, Canada: August, 1997. Copyright University of New Brunswick.
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|
dc.identifier.uri |
https://hdl.handle.net/10161/4887 |
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dc.description.abstract |
The amplitude of the surface EMG is frequently used as the control input to myoelectric
prostheses, as a measure of muscular effort, and has also been investigated as an
indicator of muscle force. This paper will review the methods which are used to estimate
the EMG amplitude from recordings of the EMG waveform. (Note that this review does
not include the related area of EMG-to-force processing.) Early investigators studied
the type of non-linear detector which should be applied to the waveform. This work
led to the routine use of analog rectify and smooth (low pass filter) processing and
root-mean-square (RMS) processing of the EMG waveform to form an amplitude estimate.
More recent investigation has shown the prornise of whitening individual EMG waveform
channels, combining multiple waveform channels into a single EMG amplitude estimate
and adaptively tuning the smoothing window length. None of these recent techniques
have been routinely incorporated into EMG amplitude estimators. Finally, a look towards
what EMG processing might be in the future is described.
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|
dc.publisher |
Myoelectric Symposium |
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dc.title |
Emg Amplitude Estimation: A Review Of The Past And A Look Towards The Future |
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