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the emg
initialism
Electromyography
Exact(60)
TKEO improved VD onset detection because it suppressed noise amplitude during steady state portion of the EMG signal and amplified the EMG burst.
We synchronized the EMG recordings with video monitoring to focus on the EMG activity during the dragging events.
Background EMG activity was determined after rectifying the EMG signal.
Those parameters provide good summaries of the EMG shape but do not provide a complete shape of the EMG burst.
The EMG was filtered (100 1,000 Hz), digitized at 1 kHz and analyzed by the EMG startle response software which rectified and smoothed the EMG response with a 10-ms time constant.
The EMG data was used to support the primary JMOF findings; formal statistical analyses were not conducted on the EMG data.
To demodulate the EMG signal, we modelled the multiplicative tremor noise with a powered sine wave and divided the modelled multiplicative noise into the EMG signal.
Infusion of GTN significantly amplifies the magnitude of the EMG.
The EMG signals during each test were recorded.
By comparison, the EMG remains stable after saline infusion.
It comprises the EMG measurement, feature extraction, and motion classification.
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