AT	anaerobic threshold
CNN	convolutional neural network
FF	false fatigue
FN	false non-fatigue
GA	gastrocnemius
IEMG	integrated electromyogram
LSTM	long short-term memory
MF	median frequency
MPF	mean power frequency
MSE	mean square error
MVC	maximum voluntary contraction
PSD	power spectral density
ReLU	rectified linear unit
RF	rectus femoris
RMS	root mean square
RMSE	root mean square error
RNN	recurrent neural network
sEMG	Surface electromyography
SNR	signal-to-noise ratio
SVM	support vector machine
TF	true fatigue
TN	true non-fatigue
VCO2	carbon dioxide production
VE	ventilation volume
VL	vastus lateralis
VM	vastus medialis
VO2	oxygen uptake