week 8 Flashcards
(37 cards)
what is EMG a representation of
the sum of all motor unit action potentials within the detecting range of electrodes
does EMG tell us muscle force
no it tells us about muscle effort but if we know the effort and the length we can estimate force
how is force increased in 2 ways
recruit more motor units
rate coding
how does motor unit recruitment increase force
size principle (small to large) and correlates with the fatigue resistance of the MUs
more metabolically efficient this way
how does rate coding increase force
how often a motor unit will fire eventually resulting in force teatnus
how does recruitment relate to the EMG signal
as more MUs fire or are active there is a greater chance multiple MUAPs will summate causing a greater signal
how does rate coding relate to EMG signal
as more motor units fire often a greater chance of MUAPs summating
what are the 6 EMG analysis techniques
- raw amplitude
- rectification
- linear envelope
- integrated EMG
- root mean square
- normalization
what is the EMG linear envelope (two steps)
- full-wave rectification (only positive values)
- low pass filter (2-10Hz)
4 parts to recording EMG signal
- via electrodes
- monopolar or bipolar arrangement
- placement
- skin resistance
what factors affecting surface EMG signal can we control
- electrode-skin interface
- signal conditioning
- inter-electrode spacing
- orientation of electrodes
4 basic features of signal analysis (signal properties)
frequency = how many waves over a time
amplitude = how big it is
vertical offset = bias removal
phase shift = horizontal starting at 0 or max
what is a time domain
amplitude of a signal at each point in time
what is a frequency domain
amplitude of signal at each frequency
how do we go from time domain to frequency domain
use Fourier transform
what does a fourier analysis allow us to do
breakdown a signal into sine waves and the sine waves tell us frequency, amplitude, and phase
frequency analysis (0-0.1)
bias
frequency analysis (0-1)
drift (bias will change overtime slowly)
frequency analysis (0-1000Hz)
white noise (contains all possible frequencies)
frequency analysis (0-10Hz)
human movement (tremor)
frequency analysis (10-500Hz)
surface EMG sin waves buried in the frequency that can be super rapid oscillations
frequency analysis (10-1000Hz)
indwelling EMG (needle in muscle)
frequency analysis (10-60Hz)
ECG
when converting an analog signal to digital how often do you need to take a measure?
must sample at least 2x + 1 the highest frequency present in the signal
ex. highest approximate frequency is 500Hz so 1001