Biomechanics -Electromyography - 13/03/23
Fatigue testing – look at frequency
Set a threshold as the value showing the muscle as ON
o ‘When the amplitude rises above 2 standard deviation of background noise’
Force Estimation –
o Raw Amplitude:
Timing/patterns are usually clear, and amplitude can be compared within a
muscle/sessions
Comparisons can’t be made between muscles/sessions
o Normalised to Maximum Voluntary Contraction (MVC):
Amplitudes can be more meaningfully compared
But MVC results are variable and isolated MVCs can be difficult to set up.
Some people can’t attempt MVCs
o Normalised to Peak (or mean) Value Within a Trial:
Doesn’t require MVCs
But every muscle will have values up to 100% irrespective of how active it
was
o Normalised to A Reference Task (Submaximal):
Can be a more consistent baseline
Level can be tailored to client
But what level should you pick and it can be hard to control the required
level
dEMG (decomposition)
o Tries to extract individual motor units from EMG signal eg. Delsys Galileo
o Explore motor unit recruitment and firing rates
Frequency : Fatigue
Signal Processing –
o Select a raw EMG signal
o Full-wave rectify it (absolute value in simple math)
o Linear envelope (using RMS – Root Mean Square or a low-pass filter)
Fatigue testing – look at frequency
Set a threshold as the value showing the muscle as ON
o ‘When the amplitude rises above 2 standard deviation of background noise’
Force Estimation –
o Raw Amplitude:
Timing/patterns are usually clear, and amplitude can be compared within a
muscle/sessions
Comparisons can’t be made between muscles/sessions
o Normalised to Maximum Voluntary Contraction (MVC):
Amplitudes can be more meaningfully compared
But MVC results are variable and isolated MVCs can be difficult to set up.
Some people can’t attempt MVCs
o Normalised to Peak (or mean) Value Within a Trial:
Doesn’t require MVCs
But every muscle will have values up to 100% irrespective of how active it
was
o Normalised to A Reference Task (Submaximal):
Can be a more consistent baseline
Level can be tailored to client
But what level should you pick and it can be hard to control the required
level
dEMG (decomposition)
o Tries to extract individual motor units from EMG signal eg. Delsys Galileo
o Explore motor unit recruitment and firing rates
Frequency : Fatigue
Signal Processing –
o Select a raw EMG signal
o Full-wave rectify it (absolute value in simple math)
o Linear envelope (using RMS – Root Mean Square or a low-pass filter)